Sampling Algorithms [recurso electrónico] / by Yves Tillé.
Tipo de material:
TextoSeries Springer Series in StatisticsEditor: New York, NY : Springer New York, 2006Descripción: XI, 216 p. online resourceTipo de contenido: - text
- computer
- recurso en línea
- 9780387342405
- 99780387342405
- 519.5 23
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
Libros electrónicos
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CICY Libro electrónico | Libro electrónico | 519.5 (Browse shelf(Opens below)) | Available |
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 Tillé is a professor at the University of Neuchâtel (Switzerland)
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