About this product

Sampling Algorithms

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.

Contents

Introduction 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.

Specifications

Pm Supplier	Springer Verlag
Pm Publisher	Springer Nature
Pm Isbn 10	0387308148
Pm Isbn 13	9780387308142
Pm Publication Date	2006-03-28
Pm Author	Tillé, Yves
Pm Longness	0

Author: Tillé, Yves
Page Count: 245