PDF-Sampling and Assessment by the

O klahoma Water Resources Board x2013 3800 Classen Blvd Oklahoma City OK 73118 x2013 4055308800 x2013 httpwwwowrbokgov Verdigris River at Inola North Red River at Hugo Verdigri. Big Question: How do you know when you have collected enough data and done it appropriately?. Today’s Agenda. Tips and Tricks. Article Review Discussion. Assignment for Feb 24. Sampling Review. Observation Approaches (Qualitative/ Quantitative) and Practice. 2. Groundwater Sampling. Sampling a well with a tennis shoe?. Standards, Directives, Guidelines................... 4. Standards, Directives, Guidelines. Hierarchy:- “more or less a general consensus” EN/AS/NZS=. MTH . 494. LECTURE-13. Ossam Chohan. Assistant Professor. CIIT Abbottabad. 2. STRATIFIED SAMPLING. 3. STRATIFIED SAMPLING. 1.. . Stratification. : The elements in the population are divided into layers/groups/ strata based on their values on one/several auxiliary variables. The strata must be non-overlapping and together constitute the whole population.. . Martin Vetterli EPFL & UC Berkeley. BOAT WAKE © Pete Turner. 1. Acknowledgements. Sponsors and supporters. NSF Switzerland. : thank you!. Conference organizers, Akihiko Sugiyama in particular!. Rare . Event. Analysis with Multiple Failure Region Coverage. Wei Wu. 1. , Srinivas Bodapati. 2. , Lei He. 1,3. 1 Electrical Engineering Department, UCLA. 2 Intel Corporation. 3 . State . Key Laboratory of ASIC and Systems, . Husheng Li. The University of Tennessee. Chopper Sampling . We introduce a switching function such that . x_s. (t)=x(t)s(t), where. Nyquist. Criterion. The sampling rate should be at least twice the bandwidth of the signal, in order to fully reconstruct the signal.. Robert Christensen. , Feifei Li. University of Utah. Lu Wang, Ke Yi. Hong Kong University. Of Science and Technology. Motivation. Geo Spatial Data is being collected on a massive scale. Approximate aggregations is fast and often effective for this data. A link between Continuous-time/Discrete-time Systems. x. (. t. ). y. (. t. ). h. (. t. ). x. [. n. ]. y. [. n. ]. h. [. n. ]. Sampling. x. [. n. ]=. x. (. nT. ), . T. : sampling period. x. [. n. ]. x. General Sampling Issues. Thinking of the steps in sampling (from theoretical population to respondents)—what are some biases that can come in at each point?. What is the proximity similarity model? What are issues with that model?. 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 . Presented by:. Er. Bhagawan Shrestha. Quality Assurance Plan. Total Quality management (TQM). As defined by ISO: “TQM is a management approach of an organisation, . centered on Quality. , . based on participation of all its members of the organisation. 7. Introduction. In . a typical statistical inference problem, you want to discover one or more characteristics of a given population. .. However, it is generally difficult or even impossible to contact each member of the population.. 1. Attributes of Common Cause Variation. It is the variation inherent to a Process.. It cannot be reduced unless one changes the Process.. It can be considered to be the background noise present in a Process.. Paul A. Smith, S3RI, University of Southampton. Shelley Gammon, Sarah Cummins, Christos Chatzoglou, Office for National Statistics. Dick . Heasman. 1. Outline. Record linkage and strategies. Quality measures for record linkage.