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Cramer-Rao bound, Minimum Variance Unbiased Estimator (MVUE). Sufficient Statistics: Factorization theorem. Theory of Testing
: Snippets and abstracts can be found on ResearchGate . Statistical Inference By Manoj Kumar Srivastava Pdf
"Statistical Inference" by Manoj Kumar Srivastava is a comprehensive textbook that covers the fundamental concepts of statistical inference. The book provides an in-depth discussion of various statistical inference techniques, including hypothesis testing, confidence intervals, and prediction. It also covers advanced topics such as Bayesian inference, bootstrap methods, and nonparametric inference.
However, for its target audience—students who fear statistics—this book is a lifesaver. It builds confidence before moving on to heavier texts. I can provide targeted breakdowns, simplified proofs, or
Empirical Bayes and Hierarchical Bayes methodologies. Decision Theory: Bayesian approaches and minimaxity. 4. Why Choose This Book for Study?
Manoj Kumar Srivastava's book on statistical inference is an excellent resource for anyone interested in learning about statistical inference. The book provides a comprehensive coverage of the subject, including both theoretical and practical aspects. With its clear explanations, practical examples, and accessible PDF format, Srivastava's book is a must-read for students, researchers, and practitioners who want to learn about statistical inference. Theory of Testing : Snippets and abstracts can
Includes Maximum Likelihood Estimation (MLE), method of moments, and Bayesian approaches Asymptotic Properties:
One of the book's most praised features is the high volume of solved problems, which provide "analytical insight" and make it a strong practical companion to more theoretical texts like Casella & Berger.