Manoj Kumar Srivastava is the author of two prominent textbooks on statistical inference: Statistical Inference: Testing of Hypotheses (2009) and its sequel, Statistical Inference: Theory of Estimation
Scope: Focuses on the mathematical foundations of hypothesis testing, primarily the Neyman-Pearson theory. Statistical Inference By Manoj Kumar Srivastava Pdf
: A sequel to the first book, it focuses on the problem of estimation using both classical and Bayesian approaches Key Topics : Includes data summarization, Uniformly Minimum Variance Unbiased Estimators (UMVUE) Manoj Kumar Srivastava is the author of two
When you search for the "Statistical Inference By Manoj Kumar Srivastava Pdf," you are looking for a treasure trove of topics that form the backbone of any Master’s degree in Statistics (M.Sc), Economics, or Biostatistics. The book typically covers the following major pillars: method of moments
Includes Maximum Likelihood Estimation (MLE), method of moments, and Bayesian approaches Asymptotic Properties:
Key Concepts in Statistical Inference
His writing style is uniquely suited for the Indian undergraduate and postgraduate audience. Unlike dry, overly theoretical Western textbooks, Srivastava’s work bridges the gap between mathematical rigor and practical examination needs. He is known for: