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Sampling Algorithms [recurso electrónico] / by Yves Tillé.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Springer Series in StatisticsEditor: New York, NY : Springer New York, 2006Descripción: XI, 216 p. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • recurso en línea
ISBN:
  • 9780387342405
  • 99780387342405
Tema(s): Formatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD:
  • 519.5 23
Recursos en línea:
Contenidos:
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.
En: Springer eBooksResumen: 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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Item type Current library Collection Call number Status Date due Barcode
Libros electrónicos Libros electrónicos 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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