Sampling Algorithms
Titre:
Sampling Algorithms
ISBN (Numéro international normalisé des livres):
9780387342405
Auteur personnel:
Edition:
1st ed. 2006.
PRODUCTION_INFO:
New York, NY : Springer New York : Imprint: Springer, 2006.
Description physique:
XII, 216 p. online resource.
Collections:
Springer Series in Statistics,
Table des matières:
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.
Extrait:
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).
Auteur collectif ajouté:
Langue:
Anglais