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Exercises in Theoretical Statistics

Exercises in Theoretical Statistics
Author: Maurice George Kendall
Publisher:
Total Pages: 200
Release: 1968
Genre: Estadística matemática
ISBN:

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Exercises; Distribution theory; Sampling; Statistical relationship; Estimation and inference; Time-series.


Problems and Solutions in Theoretical Statistics

Problems and Solutions in Theoretical Statistics
Author: David Roxbee Cox
Publisher: Chapman & Hall
Total Pages: 216
Release: 1978
Genre: Mathematics
ISBN:

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Some general concepts; Pure significance tests; Significance tests: simple null hypotheses; Significance tests: composite null hypotheses; Distribution-free and randomization tests; Interval estimation; Point estimation; Asymptotic theory; Bayesian methods; Decision theory.


Mathematical Statistics

Mathematical Statistics
Author: Jun Shao
Publisher: Springer Science & Business Media
Total Pages: 607
Release: 2008-02-03
Genre: Mathematics
ISBN: 0387217185

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This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. This new edition has been revised and updated and in this fourth printing, errors have been ironed out. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics. The second chapter introduces some fundamental concepts in statistical decision theory and inference. Subsequent chapters contain detailed studies on some important topics: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapter provide not only practice problems for students, but also many additional results.


Exercises and Solutions in Statistical Theory

Exercises and Solutions in Statistical Theory
Author: Lawrence L. Kupper
Publisher: CRC Press
Total Pages: 384
Release: 2013-06-24
Genre: Mathematics
ISBN: 1466572906

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Exercises and Solutions in Statistical Theory helps students and scientists obtain an in-depth understanding of statistical theory by working on and reviewing solutions to interesting and challenging exercises of practical importance. Unlike similar books, this text incorporates many exercises that apply to real-world settings and provides much mor