Sampling Algorithms

• Main Author: Tillé, Yves (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2006.
• Series: Springer Series in Statistics,
• Subjects: Statistics.; Statistical Theory and Methods.; Statistics and Computing/Statistics Programs.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.

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...

Table of 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.