Sampling Algorithms
Title:
Sampling Algorithms
ISBN:
9780387342405
Personal Author:
Edition:
1st ed. 2006.
Publication Information New:
New York, NY : Springer New York : Imprint: Springer, 2006.
Physical Description:
XII, 216 p. online resource.
Series:
Springer Series in Statistics,
Contents:
and Overview -- Population, Sample, and Sampling Design -- Sampling Algorithms -- Simple Random Sampling -- Unequal Probability Exponential Designs -- The Splitting Method -- More on Unequal Probability Designs -- Balanced Sampling -- An Example of the Cube Method.
Abstract:
Over the last few decades, important progresses in the methods of sampling have been achieved. This book draws up an inventory of new methods that can be useful for selecting samples. Forty-six sampling methods are described in the framework of general theory. The algorithms are described rigorously, which allows implementing directly the described methods. This book is aimed at experienced statisticians who are familiar with the theory of survey sampling.Yves Tillé is a professor at the University of Neuchâtel (Switzerland).
Added Corporate Author:
Language:
English