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Title Aspects of Statistical Inference
Author A. H. Welsh
Publisher John Wiley & Sons
Release 1996-10-10
Category Mathematics
Total Pages 480
ISBN 9780471115915
Language English, Spanish, and French
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Book Summary:

Relevant, concrete, and thorough--the essential data-based text onstatistical inference The ability to formulate abstract concepts and draw conclusionsfrom data is fundamental to mastering statistics. Aspects ofStatistical Inference equips advanced undergraduate and graduatestudents with a comprehensive grounding in statistical inference,including nonstandard topics such as robustness, randomization, andfinite population inference. A. H. Welsh goes beyond the standard texts and expertly synthesizesbroad, critical theory with concrete data and relevant topics. Thetext follows a historical framework, uses real-data sets andstatistical graphics, and treats multiparameter problems, yet isultimately about the concepts themselves. Written with clarity and depth, Aspects of Statistical Inference: * Provides a theoretical and historical grounding in statisticalinference that considers Bayesian, fiducial, likelihood, andfrequentist approaches * Illustrates methods with real-data sets on diabetic retinopathy,the pharmacological effects of caffeine, stellar velocity, andindustrial experiments * Considers multiparameter problems * Develops large sample approximations and shows how to use them * Presents the philosophy and application of robustness theory * Highlights the central role of randomization in statistics * Uses simple proofs to illuminate foundational concepts * Contains an appendix of useful facts concerning expansions,matrices, integrals, and distribution theory Here is the ultimate data-based text for comparing and presentingthe latest approaches to statistical inference.

Title Statistical Inference Based on the likelihood
Author Adelchi Azzalini
Publisher CRC Press
Release 1996-06-01
Category Mathematics
Total Pages 352
ISBN 9780412606502
Language English, Spanish, and French
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Book Summary:

The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book introduces likelihood-based statistical theory and related methods from a classical viewpoint, and demonstrates how the main body of currently used statistical techniques can be generated from a few key concepts, in particular the likelihood. Focusing on those methods, which have both a solid theoretical background and practical relevance, the author gives formal justification of the methods used and provides numerical examples with real data.

Title Probability and Statistical Inference
Author J.G. Kalbfleisch
Publisher Springer Science & Business Media
Release 2012-12-06
Category Mathematics
Total Pages 343
ISBN 1461210968
Language English, Spanish, and French
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Book Summary:

A carefully written text, suitable as an introductory course for second or third year students. The main scope of the text guides students towards a critical understanding and handling of data sets together with the ensuing testing of hypotheses. This approach distinguishes it from many other texts using statistical decision theory as their underlying philosophy. This volume covers concepts from probability theory, backed by numerous problems with selected answers.

Title Differential Geometry in Statistical Inference
Author Shun'ichi Amari
Publisher IMS
Release 1987
Category Mathematics
Total Pages 240
ISBN 9780940600126
Language English, Spanish, and French
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Title Group Invariance in Statistical Inference
Author Narayan C. Giri
Publisher World Scientific
Release 1996
Category Mathematics
Total Pages 167
ISBN 9789810218751
Language English, Spanish, and French
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Book Summary:

In applied and pure sciences, the structural properties of groups are increasingly utilised to find better solutions in statistical sciences. Modern computers make statistical methods with large numbers of variables feasible. Invariance is a mathematical term for symmetry, and many statistical problems exhibit such properties. In statistical analysis with large numbers of variables, the invariance approach is becoming increasingly popular and useful because of its ability and usefulness in deriving better statistical procedures.In this book, Multivariate Statistical Inference is presented through Invariance.

Title Current Issues in Statistical Inference
Author Dev Basu
Publisher IMS
Release 1992
Category Mathematics
Total Pages 264
ISBN 9780940600249
Language English, Spanish, and French
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Book Summary:

Statistical Inference by George Casella

Title Statistical Inference
Author George Casella
Publisher Cengage Learning
Release 2021-01-26
Category Mathematics
Total Pages 688
ISBN 0357753135
Language English, Spanish, and French
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Book Summary:

This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. Intended for first-year graduate students, this book can be used for students majoring in statistics who have a solid mathematics background. It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less concerned with formal optimality investigations. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Statistical Inference by Vijay K. Rohatgi

Title Statistical Inference
Author Vijay K. Rohatgi
Publisher Courier Corporation
Release 2013-06-05
Category Mathematics
Total Pages 956
ISBN 0486136213
Language English, Spanish, and French
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Book Summary:

This treatment of probability and statistics examines discrete and continuous models, functions of random variables and random vectors, large-sample theory, more. Hundreds of problems (some with solutions). 1984 edition. Includes 144 figures and 35 tables.

Title Statistical Inference from Genetic Data on Pedigrees
Author Elizabeth Alison Thompson
Publisher IMS
Release 2000
Category Mathematics
Total Pages 194
ISBN 9780940600492
Language English, Spanish, and French
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Book Summary:

Annotation While this monograph is not about show dogs or cats, its statistical methods could be applied to tracing the pedigree of these species as well as humans. Thompson (U. of Washington) covers such topics as genetic models, population allele frequencies, kinship/inbreeding coefficients, and Monte Carlo estimation. Includes supporting tables and figures. Suitable as a supplementary text or primary text for advanced students. Lacks an index. c. Book News Inc.

Statistical Inference by S.D. Silvey

Title Statistical Inference
Author S.D. Silvey
Publisher Routledge
Release 2017-10-19
Category Mathematics
Total Pages 192
ISBN 135141450X
Language English, Spanish, and French
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Book Summary:

Statistics is a subject with a vast field of application, involving problems which vary widely in their character and complexity.However, in tackling these, we use a relatively small core of central ideas and methods. This book attempts to concentrateattention on these ideas: they are placed in a general settingand illustrated by relatively simple examples, avoidingwherever possible the extraneous difficulties of complicatedmathematical manipulation.In order to compress the central body of ideas into a smallvolume, it is necessary to assume a fair degree of mathematicalsophistication on the part of the reader, and the book is intendedfor students of mathematics who are already accustomed tothinking in rather general terms about spaces and functions

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