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

• 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.