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Download Sampling Algorithms (Springer Series in Statistics) ePub

by Yves Tillé

Download Sampling Algorithms (Springer Series in Statistics) ePub
  • ISBN 1441921559
  • ISBN13 978-1441921550
  • Language English
  • Author Yves Tillé
  • Publisher Springer; Softcover reprint of hardcover 1st ed. 2006 edition (November 19, 2010)
  • Pages 232
  • Formats docx mbr mbr lrf
  • Category Math
  • Subcategory Mathematics
  • Size ePub 1923 kb
  • Size Fb2 1577 kb
  • Rating: 4.5
  • Votes: 672

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.


Springer Series in Statistics. Authors: Tillé, Yves. This book is the first one we have met devoted to the selection of samples for inference in finite populations, based on logical algorithms.

Springer Series in Statistics. The subject of the book is very important since objective inference must be based on a controlled selection of the units to be observed. Sampling Algorithms tries to cover some technical reflections on the artificial selection of samples of finite populations, and the author’s effort is devoted to this end, which is essential for real and objective statistical science.

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Sampling Algorithms Yves Till Institut de Statistique, Universit de Neuchtel Espace de lEurope 4, Case postale . This book is based upon courses on sampling algorithms

Sampling Algorithms Yves Till Institut de Statistique, Universit de Neuchtel Espace de lEurope 4, Case postale 805 2002 Neuchtel, Switzerland yves. Library of Congress Control Number: 2005937126. ISBN-10: 0-387-30814-8 ISBN-13: 978-0387-30814-2. 2006 Springer Science+Business Media, Inc. All rights reserved. This book is based upon courses on sampling algorithms. After having used scattered notes for several years, I have decided to completely rewrite the material in a consistent way. The books of Brewer and Hanif (1983) and Hajek (1981) have been my works of reference.

Sampling Algorithms book. Start by marking Sampling Algorithms (Springer Series in Statistics) as Want to Read: Want to Read savin. ant to Read. we therefore need hsiiand hsisjito compute F. These are the expected sufficient statistics of the hidden variables. How we measure 'reads'. Example: Binary latent factors model (cont). Variational approximation

General Probability & Statistics Mathematics Books. Springer Series in Statistics: Sampling Algorithms (Hardcover).

General Probability & Statistics Mathematics Books. This button opens a dialog that displays additional images for this product with the option to zoom in or out. Tell us if something is incorrect.

Yves Tille, Yves Tillé. Sampling Algorithms Springer Series in Statistics, ISSN 0172-7397. 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. 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).

This book is an excellent formal summary of all sampling algorithms.

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