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. The author lucidly
develops and presents numerous approaches. He details recent
developments and explores fresh and unseen problems, hitting upon
possible solutions. The text covers current research output in a
student-friendly manner with attractive illustrations. It
introduces sampling and discusses how to select a sample for which
a selection-probability is specified to prescribe its performance
characteristics. The author then explains how to examine samples
with varying probabilities to derive profits. He then examines how
to use partial segments to make reasonable guesses about a sample's
behavior and assess the elements of discrepancies. 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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