Determining the likely value of a population parameter (such as a mean or proportion) using point estimators or confidence intervals.
Published by PHI Learning, this textbook is designed primarily for postgraduate students of statistics, mathematics, and economics. It acts as a sequel to Statistical Inference: Testing of Hypotheses by the same authors, providing a comprehensive, in-depth look at .
Unlike Western textbooks that assume a high level of mathematical maturity, Srivastava’s book builds concepts from the ground up. It provides solved examples for every theorem, which is a lifesaver when preparing for exams that emphasize lengthy derivations.
The PDF version of "Statistical Inference" by Manoj Kumar Srivastava can be downloaded from various online sources, including: Statistical Inference By Manoj Kumar Srivastava Pdf
Across both texts, a consistent pedagogical philosophy is evident, marked by several key features.
Check platforms like ResearchGate or Academia.edu, where authors occasionally share authorized pre-prints or specific chapters for educational use.
In conclusion, "Statistical Inference" by Manoj Kumar Srivastava is a comprehensive book that provides a clear and concise introduction to the concepts and techniques of statistical inference. The book covers a wide range of topics, including estimation, hypothesis testing, and advanced topics. The book is suitable for students, researchers, and practitioners who want to learn about statistical inference and its applications. Determining the likely value of a population parameter
If you are currently studying this material, let me know if you would like me to (such as the Neyman-Pearson Lemma), provide practice problems with step-by-step solutions, or explain a concept like Maximum Likelihood Estimation in simpler terms. Share public link
While full copyrighted PDFs are often restricted to authorized platforms, you can access samples, purchase digital versions, or find library entries: Sample Chapters : A PDF sample covering the Theory of Point and Interval Estimation is available via Digital & Print Copies : Both titles are available through retailers like Amazon India PHI Learning in both paperback and eBook formats. Library Catalogues
Theoretical concepts are immediately followed by solved numerical examples to illustrate how abstract theories apply to actual data problems. Unlike Western textbooks that assume a high level
Evaluating a pre-stated theory or assumption about a population to determine if it is supported by the data.
: The book emphasizes the mathematical foundations laid by J. Neyman and Egon Pearson for hypothesis testing.
Step-by-step guides on the Method of Maximum Likelihood (MLE), Method of Moments, and Minimum Chi-Square. 2. Testing of Hypothesis
The relationship between testing hypotheses and interval estimation. PHI Learning Statistical Inference: Theory of Estimation