Statistical Inference Based on Divergence Measures

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Publisher : CRC Press
ISBN 13 : 1420034812
Total Pages : 513 pages
Book Rating : 4.13/5 ( download)

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Book Synopsis Statistical Inference Based on Divergence Measures by : Leandro Pardo

Download or read book Statistical Inference Based on Divergence Measures written by Leandro Pardo and published by CRC Press. This book was released on 2018-11-12 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of using functionals of Information Theory, such as entropies or divergences, in statistical inference is not new. However, in spite of the fact that divergence statistics have become a very good alternative to the classical likelihood ratio test and the Pearson-type statistic in discrete models, many statisticians remain unaware of this p

Statistical Inference Based on Divergence Measures

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Author :
Publisher : Chapman and Hall/CRC
ISBN 13 : 9781584886006
Total Pages : 512 pages
Book Rating : 4.05/5 ( download)

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Book Synopsis Statistical Inference Based on Divergence Measures by : Leandro Pardo

Download or read book Statistical Inference Based on Divergence Measures written by Leandro Pardo and published by Chapman and Hall/CRC. This book was released on 2005-10-10 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of using functionals of Information Theory, such as entropies or divergences, in statistical inference is not new. However, in spite of the fact that divergence statistics have become a very good alternative to the classical likelihood ratio test and the Pearson-type statistic in discrete models, many statisticians remain unaware of this powerful approach. Statistical Inference Based on Divergence Measures explores classical problems of statistical inference, such as estimation and hypothesis testing, on the basis of measures of entropy and divergence. The first two chapters form an overview, from a statistical perspective, of the most important measures of entropy and divergence and study their properties. The author then examines the statistical analysis of discrete multivariate data with emphasis is on problems in contingency tables and loglinear models using phi-divergence test statistics as well as minimum phi-divergence estimators. The final chapter looks at testing in general populations, presenting the interesting possibility of introducing alternative test statistics to classical ones like Wald, Rao, and likelihood ratio. Each chapter concludes with exercises that clarify the theoretical results and present additional results that complement the main discussions. Clear, comprehensive, and logically developed, this book offers a unique opportunity to gain not only a new perspective on some standard statistics problems, but the tools to put it into practice.

New Developments in Statistical Information Theory Based on Entropy and Divergence Measures

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Publisher : MDPI
ISBN 13 : 3038979368
Total Pages : 344 pages
Book Rating : 4.64/5 ( download)

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Book Synopsis New Developments in Statistical Information Theory Based on Entropy and Divergence Measures by : Leandro Pardo

Download or read book New Developments in Statistical Information Theory Based on Entropy and Divergence Measures written by Leandro Pardo and published by MDPI. This book was released on 2019-05-20 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new and original research in Statistical Information Theory, based on minimum divergence estimators and test statistics, from a theoretical and applied point of view, for different statistical problems with special emphasis on efficiency and robustness. Divergence statistics, based on maximum likelihood estimators, as well as Wald’s statistics, likelihood ratio statistics and Rao’s score statistics, share several optimum asymptotic properties, but are highly non-robust in cases of model misspecification under the presence of outlying observations. It is well-known that a small deviation from the underlying assumptions on the model can have drastic effect on the performance of these classical tests. Specifically, this book presents a robust version of the classical Wald statistical test, for testing simple and composite null hypotheses for general parametric models, based on minimum divergence estimators.

Statistical Inference

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Publisher : CRC Press
ISBN 13 : 1420099663
Total Pages : 424 pages
Book Rating : 4.69/5 ( download)

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Book Synopsis Statistical Inference by : Ayanendranath Basu

Download or read book Statistical Inference written by Ayanendranath Basu and published by CRC Press. This book was released on 2011-06-22 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: In many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate distance between the data and the model: the scope of study referred to by "Minimum Distance Estimation" is literally huge. Filling a statistical resource gap, Stati

Statistical Topics and Stochastic Models for Dependent Data with Applications

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Publisher : John Wiley & Sons
ISBN 13 : 1786306034
Total Pages : 288 pages
Book Rating : 4.36/5 ( download)

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Book Synopsis Statistical Topics and Stochastic Models for Dependent Data with Applications by : Vlad Stefan Barbu

Download or read book Statistical Topics and Stochastic Models for Dependent Data with Applications written by Vlad Stefan Barbu and published by John Wiley & Sons. This book was released on 2020-12-03 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov, autoregressive and piecewise deterministic Markov models. The material is divided into three parts corresponding to: (i) Markov and semi-Markov processes, (ii) autoregressive processes and (iii) techniques based on divergence measures and entropies. A special attention is payed to applications in reliability, survival analysis and related fields.

Some Basic Theory for Statistical Inference

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Publisher : CRC Press
ISBN 13 : 1351093673
Total Pages : 61 pages
Book Rating : 4.75/5 ( download)

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Book Synopsis Some Basic Theory for Statistical Inference by : E.J.G. Pitman

Download or read book Some Basic Theory for Statistical Inference written by E.J.G. Pitman and published by CRC Press. This book was released on 2018-01-18 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book the author presents with elegance and precision some of the basic mathematical theory required for statistical inference at a level which will make it readable by most students of statistics.

Statistical Inference: Based on the Likelihood

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.74/5 ( download)

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Book Synopsis Statistical Inference: Based on the Likelihood by : Adelchi Azzalini

Download or read book Statistical Inference: Based on the Likelihood written by Adelchi Azzalini and published by . This book was released on 1996 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Inference from High Dimensional Data

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Publisher : MDPI
ISBN 13 : 3036509445
Total Pages : 314 pages
Book Rating : 4.40/5 ( download)

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Book Synopsis Statistical Inference from High Dimensional Data by : Carlos Fernandez-Lozano

Download or read book Statistical Inference from High Dimensional Data written by Carlos Fernandez-Lozano and published by MDPI. This book was released on 2021-04-28 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: • Real-world problems can be high-dimensional, complex, and noisy • More data does not imply more information • Different approaches deal with the so-called curse of dimensionality to reduce irrelevant information • A process with multidimensional information is not necessarily easy to interpret nor process • In some real-world applications, the number of elements of a class is clearly lower than the other. The models tend to assume that the importance of the analysis belongs to the majority class and this is not usually the truth • The analysis of complex diseases such as cancer are focused on more-than-one dimensional omic data • The increasing amount of data thanks to the reduction of cost of the high-throughput experiments opens up a new era for integrative data-driven approaches • Entropy-based approaches are of interest to reduce the dimensionality of high-dimensional data

Theory of Statistical Inference and Information

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Publisher : Springer
ISBN 13 :
Total Pages : 440 pages
Book Rating : 4.97/5 ( download)

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Book Synopsis Theory of Statistical Inference and Information by : Igor Vajda

Download or read book Theory of Statistical Inference and Information written by Igor Vajda and published by Springer. This book was released on 1989-02-28 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Inference Based on Ranks

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Publisher :
ISBN 13 : 9780894645778
Total Pages : 323 pages
Book Rating : 4.73/5 ( download)

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Book Synopsis Statistical Inference Based on Ranks by : Thomas P. Hettmansperger

Download or read book Statistical Inference Based on Ranks written by Thomas P. Hettmansperger and published by . This book was released on 1991 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: