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Examples in parametric inference with R [electronic resource] / Ulhas Jayram Dixit.

Dixit, Ulhas Jayram, author.
2016
QA276
Available Online
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Title
Examples in parametric inference with R [electronic resource] / Ulhas Jayram Dixit.
Author
Dixit, Ulhas Jayram, author.
ISBN
9789811008894 (electronic book)
9811008892 (electronic book)
9789811008887
DOI
https://doi.org/10.1007/978-981-10-0889-4
Published
Singapore : Springer, 2016.
Language
English
Description
1 online resource (lviii, 423 pages) : illustrations.
Item Number
10.1007/978-981-10-0889-4 doi
Call Number
QA276
Dewey Decimal Classification
519.5
Summary
This book discusses examples in parametric inference with R. Combining basic theory with modern approaches, it presents the latest developments and trends in statistical inference for students who do not have an advanced mathematical and statistical background. The topics discussed in the book are fundamental and common to many fields of statistical inference and thus serve as a point of departure for in-depth study. The book is divided into eight chapters: Chapter 1 provides an overview of topics on sufficiency and completeness, while Chapter 2 briefly discusses unbiased estimation. Chapter 3 focuses on the study of moments and maximum likelihood estimators, and Chapter 4 presents bounds for the variance. In Chapter 5, topics on consistent estimator are discussed. Chapter 6 discusses Bayes, while Chapter 7 studies some more powerful tests. Lastly, Chapter 8 examines unbiased and other tests. Senior undergraduate and graduate students in statistics and mathematics, and those who have taken an introductory course in probability, will greatly benefit from this book. Students are expected to know matrix algebra, calculus, probability and distribution theory before beginning this course. Presenting a wealth of relevant solved and unsolved problems, the book offers an excellent tool for teachers and instructors who can assign homework problems from the exercises, and students will find the solved examples hugely beneficial in solving the exercise problems.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 25, 2016).
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Prerequisite
Chapter 1. Sufficiency and Completeness
Chapter 2. Unbiased Estimation
Chapter 3. Moment and Maximum Likelihood Estimators
Chapter 4. Bound for the Variance
Chapter 5. Consistent Estimator
Chapter 6. Bayes Estimator
Chapter 7. Most Powerful Test
Chapter 8. Unbiased and Other Tests
Bibliography.

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