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This video reviews the scales of measurement covered in introductory statistics: nominal, ordinal, interval, and ratio (Part 1 of 2). Scales of Measurement Nominal, Ordinal, Interval, Ratio YouTube Channel: https://www.youtube.com/user/statisticsinstructor Subscribe today! Lifetime access to SPSS videos: http://tinyurl.com/m2532td Video Transcript: In this video we'll take a look at what are known as the scales of measurement. OK first of all measurement can be defined as the process of applying numbers to objects according to a set of rules. So when we measure something we apply numbers or we give numbers to something and this something is just generically an object or objects so we're assigning numbers to some thing or things and when we do that we follow some sort of rules. Now in terms of introductory statistics textbooks there are four scales of measurement nominal, ordinal, interval, and ratio. We'll take a look at each of these in turn and take a look at some examples as well, as the examples really help to differentiate between these four scales. First we'll take a look at nominal. Now in a nominal scale of measurement we assign numbers to objects where the different numbers indicate different objects. The numbers have no real meaning other than differentiating between objects. So as an example a very common variable in statistical analyses is gender where in this example all males get a 1 and all females get a 2. Now the reason why this is nominal is because we could have just as easily assigned females a 1 and males a 2 or we could have assigned females 500 and males 650. It doesn't matter what number we come up with as long as all males get the same number, 1 in this example, and all females get the same number, 2. It doesn't mean that because females have a higher number that they're better than males or males are worse than females or vice versa or anything like that. All it does is it differentiates between our two groups. And that's a classic nominal example. Another one is baseball uniform numbers. Now the number that a player has on their uniform in baseball it provides no insight into the player's position or anything like that it just simply differentiates between players. So if someone has the number 23 on their back and someone has the number 25 it doesn't mean that the person who has 25 is better, has a higher average, hits more home runs, or anything like that it just means they're not the same playeras number 23. So in this example its nominal once again because the number just simply differentiates between objects. Now just as a side note in all sports it's not the same like in football for example different sequences of numbers typically go towards different positions. Like linebackers will have numbers that are different than quarterbacks and so forth but that's not the case in baseball. So in baseball whatever the number is it provides typically no insight into what position he plays. OK next we have ordinal and for ordinal we assign numbers to objects just like nominal but here the numbers also have meaningful order. So for example the place someone finishes in a race first, second, third, and so on. If we know the place that they finished we know how they did relative to others. So for example the first place person did better than second, second did better than third, and so on of course right that's obvious but that number that they're assigned one, two, or three indicates how they finished in a race so it indicates order and same thing with the place finished in an election first, second, third, fourth we know exactly how they did in relation to the others the person who finished in third place did better than someone who finished in fifth let's say if there are that many people, first did better than third and so on. So the number for ordinal once again indicates placement or order so we can rank people with ordinal data. OK next we have interval. In interval numbers have order just like ordinal so you can see here how these scales of measurement build on one another but in addition to ordinal, interval also has equal intervals between adjacent categories and I'll show you what I mean here with an example. So if we take temperature in degrees Fahrenheit the difference between 78 degrees and 79 degrees or that one degree difference is the same as the difference between 45 degrees and 46 degrees. One degree difference once again. So anywhere along that scale up and down the Fahrenheit scale that one degree difference means the same thing all up and down that scale. OK so if we take eight degrees versus nine degrees the difference there is one degree once again. That's a classic interval scale right there with those differences are meaningful and we'll contrast this with ordinal in just a few moments but finally before we do let's take a look at ratio.
Views: 337790 Quantitative Specialists

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This video contains 1.Introduction to Operations Research 2. Origin of Operations Research 3.Nature of OR 4.Definitions of Operations Research 5. Managerial applications of OR 6.Limitations of Operations Research
Views: 19744 My Easy Statistics

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ORTEC Consulting group spoke with Anne Robinson, Past President of INFORMS, The Institute for Operations Research and the Management Sciences. INFORMS is the largest society in the world for professionals in the field of operations research (O.R.), management science, and analytics. ORTEC Consulting Group and Anne discussed the role Operations Research plays in Analytics and Big Data. www.ortec-consulting.com
Views: 2094 ORTEC Consulting

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The Government case study from our short feature film, which shows how Operational Research can help clarify problems, inform decision-makers and enable operational improvements.
Views: 785 The OR Society

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This video is about DECISION TREE ANALYSIS which will help you to understand the basic concept of decision tree analysis. In this video i have solved one practical question which will help you to get the process of solving any numerical question and example. After watching you will also get to know that how to construct the decision tree. I hope this will help you. Thanks JOLLY Coaching how to solve decision tree problem, Decision tree analysis, How to solve decision tree analysis, Practical solved questios on decision tree analysis. decision threoy decision tree analysis
Views: 104466 JOLLY Coaching

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Textbooks: https://amzn.to/2VgimyJ https://amzn.to/2CHalvx https://amzn.to/2Svk11k In this video, I'll give you a brief introduction to operations research. Video 1: https://www.youtube.com/watch?v=0oMVVx81kCs Video 2: https://www.youtube.com/watch?v=HStw6Ez5TJg Video 3: https://www.youtube.com/watch?v=sFWrmpXPVJw Video 4: https://www.youtube.com/watch?v=flsR_fUbJtk ---------------------------------------- Smart Energy Operations Research Lab (SEORL): http://binghamton.edu/seorl YOUTUBE CHANNEL: http://youtube.com/yongtwang
Views: 19647 Yong Wang

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Clicked here http://www.MBAbullshit.com/ and OMG wow! I'm SHOCKED how easy.. No wonder others goin crazy sharing this??? Share it with your other friends too! Fun MBAbullshit.com is filled with easy quick video tutorial reviews on topics for MBA, BBA, and business college students on lots of topics from Finance or Financial Management, Quantitative Analysis, Managerial Economics, Strategic Management, Accounting, and many others. Cut through the bullshit to understand MBA!(Coming soon!) http://www.youtube.com/watch?v=a5yWr1hr6QY
Views: 541996 MBAbullshitDotCom

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The Supply Chain case study from our short feature film which shows how Operational Research can help clarify problems, inform decision-makers and enable operational improvements. This video features Asda.
Views: 473 The OR Society

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Video about data mining in the medical field. Made by Aditya Jariwala, Alex Truitt, Tongfei Zhang, and Yishi Xu for Purdue COM 21700 final project, Spring 2017.

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Views: 10098 study with chanchal

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Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://goo.gl/to1yMH or Fill the form we will contact you https://goo.gl/forms/2SO5NAhqFnjOiWvi2 if you have any query email us at [email protected] or [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 198913 Last moment tuitions

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Views: 698 cynthiavasbar

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This brief video explains *the components of the decision tree *how to construct a decision tree *how to solve (fold back) a decision tree. Other videos: Decision Analysis 1: Maximax, Maximin, Minimax Regret https://youtu.be/NQ-mYn9fPag Decision Analysis 1.1 (Costs): Maximax, Maximin, Minimax Regret https://youtu.be/ajkXzvVegBk Decision Analysis 2.1: Equally Likely (Laplace) and Realism (Hurwicz) https://www.youtube.com/watch?v=zlblUq9Dd14 Decision Analysis 2: EMV & EVPI - Expected Value & Perfect Information https://www.youtube.com/watch?v=tbv9E9D2BRQ Decision Analysis 4: EVSI - Expected Value of Sample Information https://www.youtube.com/watch?v=FUY07dvaUuE Decision Analysis 5: Posterior Probability Calculations https://youtu.be/FpKiHpYnY_I
Views: 193593 Joshua Emmanuel

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Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://goo.gl/to1yMH or Fill the form we will contact you https://goo.gl/forms/2SO5NAhqFnjOiWvi2 if you have any query email us at [email protected] or [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 332889 Last moment tuitions

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The Guyana Mining School and Training Centre Inc., in collaboration with the Guyana Geology and Mines Commission, has embarked on a Mine Pit Safety Inspection and Educational Awareness Program. Safety meeting are conducted and miners are encouraged to attend the formal training programs being offered by the Guyana Mining School. In the near future, the Guyana Mining School will be conducting training in the following locations: 1)at the Guyana Geology and Mines Commission Mines Station in Mahdia, 2) at the Guyana Geology and Mines Commission Mines Station in Puruni, 3)at the Guyana Geology and Mines Commission Research and Development facility in Linden, 4) in Northwest, 5)in Bartica, 6) in Georgetown. Call 592-639-5923 to speak with the Administrator/Coordinator-Mr. John Applewhite-Hercules, for more information. Also visit our facebook page for regular updates: https://www.facebook.com/GMSTCI/ In this video a drone is used to facilitate the inspection of a Model Medium Scale mine somewhere in Guyana.

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Take the Full Course of Artificial Intelligence What we Provide 1) 28 Videos (Index is given down) 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in Artificial Intelligence Sample Notes : https://goo.gl/aZtqjh To buy the course click https://goo.gl/H5QdDU if you have any query related to buying the course feel free to email us : [email protected] Other free Courses Available : Python : https://goo.gl/2gftZ3 SQL : https://goo.gl/VXR5GX Arduino : https://goo.gl/fG5eqk Raspberry pie : https://goo.gl/1XMPxt Artificial Intelligence Index 1)Agent and Peas Description 2)Types of agent 3)Learning Agent 4)Breadth first search 5)Depth first search 6)Iterative depth first search 7)Hill climbing 8)Min max 9)Alpha beta pruning 10)A* sums 11)Genetic Algorithm 12)Genetic Algorithm MAXONE Example 13)Propsotional Logic 14)PL to CNF basics 15) First order logic solved Example 16)Resolution tree sum part 1 17)Resolution tree Sum part 2 18)Decision tree( ID3) 19)Expert system 20) WUMPUS World 21)Natural Language Processing 22) Bayesian belief Network toothache and Cavity sum 23) Supervised and Unsupervised Learning 24) Hill Climbing Algorithm 26) Heuristic Function (Block world + 8 puzzle ) 27) Partial Order Planing 28) GBFS Solved Example
Views: 207930 Last moment tuitions

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Updated video 2018: SPSS for Beginners - Introduction https://youtu.be/_zFBUfZEBWQ This video provides an introduction to SPSS/PASW. It shows how to navigate between Data View and Variable View, and shows how to modify properties of variables.
Views: 1458850 Research By Design

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Dr. Manishika Jain in this lecture explains the meaning of Sampling & Types of Sampling Research Methodology Population & Sample Systematic Sampling Cluster Sampling Non Probability Sampling Convenience Sampling Purposeful Sampling Extreme, Typical, Critical, or Deviant Case: Rare Intensity: Depicts interest strongly Maximum Variation: range of nationality, profession Homogeneous: similar sampling groups Stratified Purposeful: Across subcategories Mixed: Multistage which combines different sampling Sampling Politically Important Cases Purposeful Sampling Purposeful Random: If sample is larger than what can be handled & help to reduce sample size Opportunistic Sampling: Take advantage of new opportunity Confirming (support) and Disconfirming (against) Cases Theory Based or Operational Construct: interaction b/w human & environment Criterion: All above 6 feet tall Purposive: subset of large population – high level business Snowball Sample (Chain-Referral): picks sample analogous to accumulating snow Advantages of Sampling Increases validity of research Ability to generalize results to larger population Cuts the cost of data collection Allows speedy work with less effort Better organization Greater brevity Allows comprehensive and accurate data collection Reduces non sampling error. Sampling error is however added. Population & Sample @2:25 Sampling @6:30 Systematic Sampling @9:25 Cluster Sampling @ 11:22 Non Probability Sampling @13:10 Convenience Sampling @15:02 Purposeful Sampling @16:16 Advantages of Sampling @22:34 #Politically #Purposeful #Methodology #Systematic #Convenience #Probability #Cluster #Population #Research #Manishika #Examrace For IAS Psychology postal Course refer - http://www.examrace.com/IAS/IAS-FlexiPrep-Program/Postal-Courses/Examrace-IAS-Psychology-Series.htm For NET Paper 1 postal course visit - https://www.examrace.com/CBSE-UGC-NET/CBSE-UGC-NET-FlexiPrep-Program/Postal-Courses/Examrace-CBSE-UGC-NET-Paper-I-Series.htm types of sampling types of sampling pdf probability sampling types of sampling in hindi random sampling cluster sampling non probability sampling systematic sampling
Views: 333053 Examrace

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A brief introduction to genetic algorithms with examples.
Views: 128942 chriskam1250

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“Oceanography: Mining Mineral In The Ocean” is an issue of the Science Screen Report, presented by United Technologies Sikorsky Aircraft, that discusses the potential and problems of have deep-sea mining for minerals. The issue opens with shots of the sea, which is a “reserve of global resources,” including metals from deep-sea nodules (polymetallic nodules). These nodules cover vast areas of the sea bottom, and their potential is the reason for a major deep-ocean project being carried out. Deep Sea Nodules can be the size of potatoes, and their porous structure accumulates layers of various metals. They are very slow growing, but sizeable nodules cover areas of the sea floor, providing a significant reserve of metals. As part of the project to determine the mining feasibility of nodules, the first self-propelled robot miner (01:38) is developed and tested. Scientists examine nodules in a lab (02:52), but to answer a number of questions surrounding them, the National Science Foundation uses Research Vessel Melvillle (03:12) to carry out underwater tests. Members of the crew lower sound beacons to create a grid (03:35). Then a robot mapping vehicle is lowered into the water to gather data within the grid. In the control room (04:10), the team monitors the robot’s data. The next step is the collection of sea floor samples (05:08); a box corer is lowered into the water to gather sample nodules, transporting nodules and their environment to the surface. Scientists examine the contents, conduct tests, and record data. The results indicate nodules may grow similar to coral. Next, piston corers (06:52) are used to take out samples of core sections of the floor to add to the mission’s overall understanding. After two weeks, the samples and data are collected, stored, and made accessible to over 50 research centers throughout the world. The next phase involves exploration ship Governor Ray (08:06), which monitors a sea mining research site, and Glomar Explorer (08:22), a surface platform ship (originally built as a deep-sea recovery platform for the CIA as part of Project Azorian also known as Project Jennifer) with an internal dry dock that holds the advanced robot miner. The crew preps for launch day by filling the dry dock, opening the doors (11:00), and moving the robot miner into the water. The robot miner hangs under the ship as pipe attachments are installed, connecting the miner and processor to transport nodule slurry. The robot miner is positioned and the processor is attached to it, enabling the mining operation to begin (12:18). Sonar and TV images show how easily the miner collects nodules as is moves across sea floor capturing images and harvesting nodules, which are crushed into a slurry and piped up to the ship. A commercial miner would be 10 times the size of the robot miner, but the smaller robot miner is the first step in the eventual commercial mining of the sea’s unique nodules. Background on this ... historic film is that it shows techniques used to conduct deep ocean mining of the sea floor, which were pioneered in the 1960s. The potential for this type of mining (particularly of manganese nodules) was never fully realized. Ironically, the program did end up providing the cover for the USNS Hughes Glomar Explorer (T-AG-193), a deep-sea drillship platform built for the United States Central Intelligence Agency Special Activities Division secret operation Project Azorian to recover the sunken Soviet submarine K-129, lost in April 1968. Hughes Glomar Explorer (HGE), as the ship was called at the time, was built between 1973 and 1974, by Sun Shipbuilding and Drydock Co. for more than US\$350 million at the direction of Howard Hughes for use by his company, Global Marine Development Inc. This is equivalent to \$1.67 billion in present-day terms. She set sail on 20 June 1974. Hughes told the media that the ship's purpose was to extract manganese nodules from the ocean floor. This marine geology cover story became surprisingly influential, spurring many others to examine the idea. But in sworn testimony in United States district court proceedings and in appearances before government agencies, Global Marine executives and others associated with Hughes Glomar Explorer project unanimously maintained that the ship could not be used in any economically viable ocean mineral operation. This film is part of the Periscope Film LLC archive, one of the largest historic military, transportation, and aviation stock footage collections in the USA. Entirely film backed, this material is available for licensing in 24p HD, 2k and 4k. For more information visit http://www.PeriscopeFilm.com
Views: 1223 PeriscopeFilm

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Take the Full Course of Image Processing What we Provide 1) 28 Videos (Index is given down) + More Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in Image processing To buy the course click https://goo.gl/duY55P if you have amy query you can email us at [email protected] Sample Notes : https://goo.gl/v52KcR or Fill the form we will contact you https://goo.gl/forms/2SO5NAhqFnjOiWvi2 Image Processing Index Lecture 1 Introduction to Image processing Lecture 2 Linear Stretching Lecture 3 Histogram Equalization Lecture 4 IGS ( Improved Grey scale ) Lecture 5 Bit Plane Slicing Lecture 6 Hough Transform Lecture 7 Homomorphic Filtering Lecture 8 DFT in Image processing Lecture 9 DIT-FFT in image processing Lecture 10 DIF-FFT in image processing Lecture 11 Hadamard Transform Lecture 12 Walsh Transform Lecture 13 DCT (Discrete Cosine Transform ) Lecture 14 Haar Transform Lecture 15 Dilation and Erosion (Morphological Operation ) Lecture 16 Opening and Closing (Morphological Operation ) Lecture 17 HIT and MISS (Morphological Operation ) Lecture 18 Data Compression (lossy and lossless) Lecture 19 Difference between Lossy vs lossless compression Lecture 20 Unitary matrix Lecture 21 Color models (RGB,CMY,HSI ) Lecture 22 Zero memory Point Operation Lecture 23 Fidelity Criteria Lecture 24 Moments with example Lecture 25 Thresholding in Image processing Lecture 26 Region Growing in Image Segmentation Lecture 27 Region Splitting in Image Segmentation Lecture 28 Region Merging in Image Segmentation More videos Coming soon
Views: 102609 Last moment tuitions

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Where do Bitcoins come from, and what is Bitcoin "mining"? Peter van Valkenburgh, Director of Research at Coin Center, explains the role of miners in a system of decentralized currency. As always, the Federalist Society takes no position on particular legal or public policy issues; all expressions of opinion are those of the speaker. Reach Peter Van Valkenburgh on Twitter: @valkenburgh https://twitter.com/valkenburgh Related links: What is "Blockchain" anyway? https://coincenter.org/entry/what-is-blockchain-anyway What is Bitcoin Mining? https://www.weusecoins.com/en/mining-guide/ How Bitcoin Mining Works https://www.bitcoinmining.com/ Should You Invest In Bitcoin? https://www.forbes.com/sites/laurashin/2015/12/28/should-you-invest-in-bitcoin-10-arguments-against-as-of-december-2015/#47863d9e3895 Is Bitcoin Mining Profitable in 2017? https://99bitcoins.com/bitcoin-mining-profitable-beginners-explanation/ Bitcoin Law & Public Policy videos https://www.youtube.com/playlist?list=PLWwcngsYgoUX7rNqZ1Ts3UxfXDPS_AwTW
Views: 144603 The Federalist Society

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Views: 16 C Gum

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Fuzzy logic tutorials to understand the basic concept of fuzzy set and fuzzy set operations. How fuzzy set is different from traditional/binary logic. Understand membership function in fuzzy logic and understand the difference between crisp set and fuzzy set. Learn the basic representation of fuzzy sets. Simple Snippets Official Website - https://simplesnippets.tech/ Simple Snippets on Facebook- https://www.facebook.com/simplesnippets/ Simple Snippets on Instagram- https://www.instagram.com/simplesnippets/ Simple Snippets email ID- [email protected] For Classroom Coaching in Mumbai for Programming & other IT/CS Subjects Checkout UpSkill Infotech - https://upskill.tech/ UpSkill is an Ed-Tech Company / Coaching Centre for Information Technology / Computer Science oriented courses and offer coacing for various Degree courses like BSc.IT, BSc.CS, BCA, MSc.IT, MSc.CS, MCA etc. Contact via email /call / FB /Whatsapp for more info email - [email protected] We also Provide Certification courses like - Android Development Web Development Java Developer Course .NET Developer Course Check us out on Social media platforms like Facebook, Instagram, Google etc Facebook page - https://www.facebook.com/upskillinfotech/ Insta page - https://www.instagram.com/upskill_infotech/ Google Maps - https://goo.gl/maps/vjNtZazLzW82
Views: 151131 Simple Snippets

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Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://goo.gl/to1yMH or Fill the form we will contact you https://goo.gl/forms/2SO5NAhqFnjOiWvi2 if you have any query email us at [email protected] or lastmom[email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 104766 Last moment tuitions

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What is a blockchain and how do they work? I'll explain why blockchains are so special in simple and plain English! 💰 Want to buy Bitcoin or Ethereum? Buy for \$100 and get \$10 free (through my affiliate link): https://www.coinbase.com/join/59284524822a3d0b19e11134 📚 Sources can be found on my website: https://www.savjee.be/videos/simply-explained/how-does-a-blockchain-work/ 🐦 Follow me on Twitter: https://twitter.com/savjee ✏️ Check out my blog: https://www.savjee.be ✉️ Subscribe to newsletter: https://goo.gl/nueDfz 👍🏻 Like my Facebook page: https://www.facebook.com/savjee
Views: 2629272 Simply Explained - Savjee

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The video shows scientific ocean drilling and coring technology. Scientific Deep Sea Drilling Vessel CHIKYU is the state-of-the-art research vessel exploring the deep earth by sampling, measuring and monitoring operated by JAMSTEC. The Earth deep below the seafloor contains a unique record of our planet's evolution and structure. Scientists study the sub-seafloor to better understand Earth's components, history, and phenomena. This research helps us answer questions about fundamental aspects of our planet such as the environment, the biosphere, solid earth cycles, and geodynamics. 00:00 The process of deep sea drilling 04:04 Rotary drilling 05:23 Riser drilling system 07:30 Coring procedure 10:38 Core sample processing More about the research vessel CHIKYU, http://www.jamstec.go.jp/chikyu/ (C) JAMSTEC
Views: 1964696 jamstecchannel

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In this video we describe data mining, in the context of knowledge discovery in databases. More videos on classification algorithms can be found at https://www.youtube.com/playlist?list=PLXMKI02h3_qjYoX-f8uKrcGqYmaqdAtq5 Please subscribe to my channel, and share this video with your peers!
Views: 223300 Thales Sehn Körting

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Postgraduate students embarking on a research project are usually required to submit a Research Proposal before they can start. This Video Lecture covers the most important aspects of a Research Proposal which potential researchers need to know.
Views: 352444 Massey University

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Views: 51 Pawson

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Module 1 - 15 - 15. Example of operational research: Loss to follow up is associated with payment for ART in Mbgathi Hospital, Kenya Module 1: Operational Research and Protocol Development (19 videos) In this module, you gain a thorough understanding of what is operational research, develop a proposed research protocol and complete an ethics application form.

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The field of operations research emerged from the analysis and solution of urgent military problems during World War II. With the end of the war and the consolidation of newly developed optimization and stochastic models into a recognized body of knowledge, the field became known for applications in business, management, and industry, especially regarding manufacturing and production management, transportation, and services. Yet the publicly spirited origins of operations research never left us, and even a brief review of the history of the field surfaces many books and articles devoted to problems of the public sector. Read more at: http://pubsonline.informs.org/editorscut/publicsector/intro
Views: 491 INFORMS

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Unbounded, feasible and multiple solutions using powtoons-- Created using PowToon -- Free sign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Views: 69 kunal mahale

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Aboard the Michigan Technological University Research Vessel Agassiz for the 2016 mine waste Geoheritage tour. Here, the remains of massive loading docks and milling operations. The not-so-visible remains include PCBs and chemicals that in essence render the Lake dead.
Views: 29 Cyndi Perkins

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Facility location problems arise in a wide range of applications such as plant or warehouse location problems and network design problems, and have been widely studied in Computer Science and Operations Research literature. These problems typically involve an underlying set F of facilities that provide service, and an underlying set D of clients that require service, which need to be assigned to facilities in a cost-effective fashion. This abstraction is quite versatile and also captures clustering problems, where one typically seeks to partition a set of data points into k clusters, for some given k, in a suitable way, which themselves find applications in data mining, machine learning, and bioinformatics.  Basic variants of facility location problems are now relatively well-understood, but we have a much-less understanding of more-sophisticated models that better model the real-world concerns. In this talk, I will present my work on some of these models inspired by some real-world optimization scenarios and give an overview of techniques that have been successfully improved the state-of-the-art approximation algorithm for these models. I will discuss some future directions and open problems as well. See more at https://www.microsoft.com/en-us/research/video/clustering-and-facility-location-problems/
Views: 1737 Microsoft Research

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In this video we discuss what is Decision Support System? in next video we cover Components and characteristics of decision support system in hindi Thanks for watching subscribe for updates https://www.youtube.com/channel/UCrFBvmpqjx7AyAsIjPM8w9g
Views: 59496 DigiHunt

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Operational research is the science of improving systems and processes, often complex and dynamic, involving resources, people and information that underpin daily life. In this webinar entitled “operational research and health care in low and medium resource settings", Dr Geoff Royston, former head of strategic analysis and operational research in the Department of Health for England, presents the conceptual and practical definition of the term and the importance of OR in health care, particularly in taking a "systems thingking approach" to analysig and solving problems. He also discusses the contribution of OR in health in low and medium resource settings and the various ways through which OR can be developed in this context.
Views: 778 IHPnetwork

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Operations Research and Applications : An International Journal (ORAJ) ISSN : 2393 - 8463 http://airccse.com/oraj/index.html Call for papers Operations Research and Applications: An International Journal (ORAJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Operations Research and innovative Applications. The journal focuses on all technical and practical aspects of Operations Research, applications and Implementation techniques. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in Operations Research and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Operations Research and Applications but are not limited to, the following : Topics of Interest Combinatorial Optimisation Constraint Satisfaction Data Analytics Decision Analysis and Analytics Game Theory Inventory Theory & Applications Mathematical Programming Network Optimisation Non-linear Programming Optimisation Project Management Queuing Routing Scheduling Simulation Soft System Methods Stochastic Systems Supply Chain Management System Thinking Quantitative Methods in Banking and Finance Statistics and Econometrics Educations Future technologies Paper Submission Authors are invited to submit papers for this journal through E-mail : [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://airccse.com/oraj/index.html
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Operations Research and Applications : An International Journal (ORAJ) ISSN : 2393 - 8463 http://airccse.com/oraj/index.html Call for papers Operations Research and Applications: An International Journal (ORAJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Operations Research and innovative Applications. The journal focuses on all technical and practical aspects of Operations Research, applications and Implementation techniques. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in Operations Research and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Operations Research and Applications but are not limited to, the following : Topics of Interest Combinatorial Optimisation Constraint Satisfaction Data Analytics Decision Analysis and Analytics Game Theory Inventory Theory & Applications Mathematical Programming Network Optimisation Non-linear Programming Optimisation Project Management Queuing Routing Scheduling Simulation Soft System Methods Stochastic Systems Supply Chain Management System Thinking Quantitative Methods in Banking and Finance Statistics and Econometrics Educations Future technologies Paper Submission Authors are invited to submit papers for this journal through E-mail : [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://airccse.com/oraj/index.html
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here subject is what is data entry in hindi. A data entry work is similar job to a typist in which data entry staff employed to enter or update data into a computer system database, often from paper documents using a keyboard, optical scanner, or data recorder.The keyboards used can often have specialist keys and multiple colors to help in the task and speed up the work. While requisite skills can vary depending on the nature of the data being entered, few specialized skills are usually required, aside from touch typing proficiency with adequate speed and accuracy. The ability to focus for lengthy periods is necessary to eliminate or at least reduce errors. When dealing with sensitive or private information such as medical, financial or military records, a person's character and discretion becomes very relevant as well. Beyond these traits, no technical knowledge is generally required and these jobs can even be worked from home. The invention of punch card data processing in the 1890's created a demand for many workers, typically women, to run key-punch machines. It was common practice to ensure accuracy by entering data twice, the second time on a verifier, a separate, keyboard-equipped machine, such the IBM 056. In the 1970's, punch card data entry was gradually replaced by the use of video display terminals. Reference:-https://en.wikipedia.org/wiki/Data_entry_clerk Reference:-https://www.upwork.com/ Subscribe:- goo.gl/9TVZ3I Watch How To Type Fast in Just 3 Weeks :- https://youtu.be/HE-3bpYvGc4 Check my Google plus :- https://plus.google.com/+Introtuts
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