Sampling Algorithms [electronic resource] / by Yves TillȨ.
Tipo de material:
TextoSeries Springer Series in StatisticsEditor: New York, NY : Springer New York, 2006Descripción: XII, 216 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9780387342405Trabajos contenidos: SpringerLink (Online service)Tema(s): Statistics | Mathematical statistics | Statistics | Statistical Theory and Methods | Statistics and Computing/Statistics Programs | Statistics for Social Science, Behavorial Science, Education, Public Policy, and LawFormatos físicos adicionales: Sin títuloClasificación CDD: 519.5 Clasificación LoC:QA276-280Recursos en línea: de clik aquí para ver el libro electrónico 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.
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)
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