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Annotated Readings in the History of Statistics

2013-06-29 Mathematics
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Release : 2013-06-29
Genre : Mathematics
Kind : eBook
Book Rating : 006/5 ( reviews)

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Book Synopsis Annotated Readings in the History of Statistics by : H.A. David

Download or read book Annotated Readings in the History of Statistics written by H.A. David. This book was released on 2013-06-29. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a selection of pioneering papers or extracts ranging from Pascal (1654) to R.A. Fisher (1930). The editors'annotations put the articles in perspective for the modern reader. A special feature of the book is the large number of translations, nearly all made by the authors. There are several reasons for studying the history of statistics: intrinsic interest in how the field of statistics developed, learning from often brilliant ideas and not reinventing the wheel, and livening up general courses in statistics by reference to important contributors.

Annotated Readings in the History of Statistics

2014-01-15
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Release : 2014-01-15
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Kind : eBook
Book Rating : 017/5 ( reviews)

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Book Synopsis Annotated Readings in the History of Statistics by : H. A. David

Download or read book Annotated Readings in the History of Statistics written by H. A. David. This book was released on 2014-01-15. Available in PDF, EPUB and Kindle. Book excerpt:

Combinatorial Methods in Density Estimation

2012-12-06 Mathematics
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Release : 2012-12-06
Genre : Mathematics
Kind : eBook
Book Rating : 254/5 ( reviews)

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Book Synopsis Combinatorial Methods in Density Estimation by : Luc Devroye

Download or read book Combinatorial Methods in Density Estimation written by Luc Devroye. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: Density estimation has evolved enormously since the days of bar plots and histograms, but researchers and users are still struggling with the problem of the selection of the bin widths. This book is the first to explore a new paradigm for the data-based or automatic selection of the free parameters of density estimates in general so that the expected error is within a given constant multiple of the best possible error. The paradigm can be used in nearly all density estimates and for most model selection problems, both parametric and nonparametric.

Sampling Algorithms

2006-09-23 Mathematics
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Release : 2006-09-23
Genre : Mathematics
Kind : eBook
Book Rating : 400/5 ( reviews)

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Book Synopsis Sampling Algorithms by : Yves Tillé

Download or read book Sampling Algorithms written by Yves Tillé. This book was released on 2006-09-23. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Modern Theory of Factorial Design

2007-01-15 Mathematics
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Release : 2007-01-15
Genre : Mathematics
Kind : eBook
Book Rating : 446/5 ( reviews)

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Book Synopsis A Modern Theory of Factorial Design by : Rahul Mukerjee

Download or read book A Modern Theory of Factorial Design written by Rahul Mukerjee. This book was released on 2007-01-15. Available in PDF, EPUB and Kindle. Book excerpt: The last twenty years have witnessed a significant growth of interest in optimal factorial designs, under possible model uncertainty, via the minimum aberration and related criteria. This book gives, for the first time in book form, a comprehensive and up-to-date account of this modern theory. Many major classes of designs are covered in the book. While maintaining a high level of mathematical rigor, it also provides extensive design tables for research and practical purposes. Apart from being useful to researchers and practitioners, the book can form the core of a graduate level course in experimental design.

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