TY  - BOOK
AU  - 
ED  - SpringerLink (Online service)
TI  - Sampling Algorithms
T2  - Springer Series in Statistics,
SN  - 9780387342405
AV  - QA276-280 
U1  - 519.5 23
PY  - 2006///
CY  - New York, NY
PB  - Springer New York
KW  - Statistics
KW  - Mathematical statistics
KW  - Statistical Theory and Methods
KW  - Statistics and Computing/Statistics Programs
KW  - Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
N1  - 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; ZDB-2-SMA
N2  - 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 TillȨ is a professor at the University of Neuchtel (Switzerland)
UR  - http://dx.doi.org/10.1007/0-387-34240-0
ER  -