Arijit Chaudhuri

Modern Survey Sampling (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 280
• Erscheinungstermin: 23. Juni 2014
• Englisch
• ISBN-13: 9781466572614
• Artikelnr.: 57081803

Autorenporträt

Arijit Chaudhuri (Author)

Inhaltsangabe

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.