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Statistical Inference

Classical and Bayesian Inference
Buch | Softcover
424 Seiten
2022
TechSar Pvt. Ltd (Verlag)
978-93-90620-06-7 (ISBN)
CHF 104,75 inkl. MwSt
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Provides up-to-date coverage of statistical inference with less rigorous treatment on mathematics, giving realistic illustrations and simple proofs of the theorems so that the readers may easily digest it.
This book is meant for BSc, BSc (Honors), and MSc students offer statistics as a primary subject. The book is very different from the existing books in many ways. Apart from regular topics covered in the Statistical Inference course, it also covers some of the author's research work. The book includes eleven chapters, out of which five chapters are on the theory of estimation, and the remaining are on testing of hypotheses. The purpose of this book is to give up–to–date exposition of Statistical Inference with less rigorous treatment on mathematics, giving realistic illustrations and simple proofs of the theorems so that the readers may easily digest it. The author's thirty-three years of teaching experience in postgraduate and refreshers courses programs enhanced the book's quality to a new level to have fresh expertise in statistics.

Salient Features

This book has covered both Theory of Estimation and Testing of Hypotheses.
Include numerous solve examples to understand the underlying theories.
At the end of each chapter exercises are given so that students can improve themselves by solving these exercises.
Simple proof of the results with implications and remarks are given.

Shantilal R. Patel, Ph.D. Professor and Head (Retired, 1992), Sardar Patel University, Vallabh Vidyanagar (Gujarat). He initiated the Department of Statistics at the university in 1961 with only one faculty. Earlier, he has served as a lecturer at V. P. Sc. College, affiliated to S. P. University. He has 33 years of teaching experience. He had been teaching "Statistical Inference" since 1961 and published more than 55 research articles on the same subject in national and international journals of repute.

1. Sufficiency and Completeness
2. Unbiased Estimations
3. Efficiency of Estimator
4. Criteria and Methods of Estimation in Large Sample
5. Decision Theory
6. Basic Principles of Testing of Hypotheses
7. Neyman Theory
8. Unbiased Tests
9. Similar Tests
10. Sequential Probability Ratio Test (SPRT) and Likelihood Ration Test (LRT)
11. Non – Parametric Methods
12. UMP Tests for Truncated Distributions
13. Asymptotic Tests for Several Exponential Family of Distribution
14. Asymptotic Tests for Several Truncated Distributions
Appendix
References
Index

Erscheinungsdatum
Sprache englisch
Maße 160 x 240 mm
Gewicht 521 g
Themenwelt Mathematik / Informatik Mathematik Statistik
ISBN-10 93-90620-06-6 / 9390620066
ISBN-13 978-93-90620-06-7 / 9789390620067
Zustand Neuware
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