Modern Survey Sampling - Arijit Chaudhuri
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Présentation Modern Survey Sampling de Arijit Chaudhuri Format Relié
- Livre Science humaines et sociales, Lettres
Résumé : Starting from the preliminaries and ending with live examples, Modern Survey Sampling details what a sample can communicate about an unknowable aggregate in a real situation. Including case studies, exercises, and solutions, the book highlights special survey techniques needed to capture trustworthy data and put it to intelligent use. It then discusses the model-assisted approach and network sampling, before moving on to speculating about random processes. The author draws on his extensive teaching experience to create a textbook that gives your students a thorough grounding in the technologies of survey sampling and modeling and also provides you with the tools to teach them.
Biographie:
Chaudhuri, Arijit
Sommaire: Concepts of Population, Sample, Sampling, Interval and Point Estimation and Posing the Problem of Sampling. Size of Population, Size of Sample, Sampling Design, Sampling Scheme. Unequal Probability Sampling, Ratio-Estimation, Lahiri's Sampling Scheme, Hartley-Ross Estimator. Stratified and Cluster Sampling. Super-Population Modeling, Prediction Approach, Model-Assisted Approach, and Bayesian Methods. Randomized Response and Indirect Questioning. Small Area Estimation. Network Sampling, Adaptive Sampling, Size Control, and Controlled Sampling. Analytical Surveys. Bibliography. Index.