PDF-4.2 Sampling catches, effort, CPUE and size In principle, there are tw

Figure 421 Diagrammatic representation of the concepts involved in the estimation of nominal catch FISH ENCOUNTERING FISHING GEAR GROSS REMOVAL The total live weight of fish caught or killed dur. PRINCIPLE 2UNEXPECTED PRINCIPLE 3COPRINCIPLE 4CREDIBLE PRINCIPLE 5EMTINAL PRINCIPLE 6 SORIES reporting. Compliance workshop: . Collection and reporting of Fisheries data to IOTC. Mauritius, March 2014. IOTC Resolutions. . . Data REPORTING standards. 10/02 . Resolution . Mandatory . statistical requirements . Table of Contents. Overview of sampling in e-Discovery. Why sample? . Types of sampling. What is “statistically valid” sampling?. Mathematical considerations before sampling. How to sample in document review. It is important that the sample selected be representative of the population from which it is taken so that inferences about the population are the best that they can be.. Probability Sampling Methods. Gadus. . morhua. ) off the West Coast of Scotland. Joanne Clarke. 1*. , . David . M Bailey. 1. , Peter J Wright. 2. © Gilbert Van . Ryckevorsel. / WWF-Canada. 1. University of Glasgow; . 2. Marine Scotland Science . From Surveys to Big . D. ata. Edith Cohen. Google Research. Tel Aviv University. Disclaimer:. Random sampling is classic and well studied tool with enormous impact across disciplines. This presentation is biased and limited by its length, my research interests, experience, understanding, and being a Computer Scientist. I will attempt to present some big ideas and selected applications. I hope to increase your appreciation of this incredible tool.. Motivating example: enrollment in California Schools. California schools: E=4421, H=775, M=1018. We are interested in the number of enrolled students. 25%. What is stratified sampling. ?. Stratify. : make . and Estimators. EXAMPLE . Because of rude sales personnel, a poor business plan, ineffective advertising, and a poor name, Polly Esther’s Fashions was in business only three days. On the first day 1 dress was sold, 2 were sold on the second day, and only 5 were sold on the third day. Because 1, 2, and 5 are the entire population, the mean is . How . can it be that mathematics, being after all a product of human thought independent of experience, is so admirably adapted to the objects . of reality. Albert Einstein. Some parts of these slides were prepared based on . 1. Rationale: (I don’t buy the argument, but…….). In situations where Producers and Consumers are willing to put up with shipments of goods which contain defects, the issue then becomes how to keep Lots (shipments) with an “excessive” number of defects from being accepted. In order to keep Appraisal costs down, sampling schemes are devised to sample items from the Lot and then to accept or reject the Lot based upon the number of defective items found in the sample.. Ke. Yi. Hong Kong University of Science and Technology. yike@ust.hk. Random Sampling on Big Data. 2. “Big Data” in one slide. The 3 V’s. : . Volume. External memory algorithms. Distributed data. Status. . and. . Challenges. WCPO Tuna Fishery. 2.7 million tonnes, landed value USD 5-7 billion. Pacific Tuna Fisheries. 60% of catch in PICT EEZs, value USD 3-4 billion. Importance to PICTs. Approaching USD 300 million in foreign access revenue. How Do I Know When To Certify?. UMass Dartmouth certifies effort on an Annual basis.. The Certification will cover the previous Fall, Spring and Summer sessions.. You will be notified via a system generated email when it is time to certify.. Office of Sponsored Programs. July, . 2011. Some Questions?????. We only certify effort paid on federal funds?. Teaching overload is included in effort certification?. The tolerance level for evaluation is 10% at UD?.