Manoj Kumar Srivastava's book on statistical inference is a comprehensive guide that covers the fundamental concepts and techniques of statistical inference. The book is designed for students, researchers, and practitioners who want to learn about statistical inference and its applications. The book covers topics such as:
The second pillar, Statistical Inference: Testing of Hypotheses , focuses on the methodology of reaching conclusions about population parameters based on sample data.
If you are looking for specific concepts or a summary of a specific chapter (e.g., "Neyman-Pearson Lemma" or "Method of Moments"), I can provide a detailed explanation here.
: Chapters discuss asymptotic theory, consistency, and consistent asymptotic normality (CAN). Key Educational Features
: Snippets and abstracts can be found on ResearchGate .
This is the most exam-relevant section.
Manoj Kumar Srivastava's book on statistical inference is a comprehensive guide that covers the fundamental concepts and techniques of statistical inference. The book is designed for students, researchers, and practitioners who want to learn about statistical inference and its applications. The book covers topics such as:
The second pillar, Statistical Inference: Testing of Hypotheses , focuses on the methodology of reaching conclusions about population parameters based on sample data.
If you are looking for specific concepts or a summary of a specific chapter (e.g., "Neyman-Pearson Lemma" or "Method of Moments"), I can provide a detailed explanation here.
: Chapters discuss asymptotic theory, consistency, and consistent asymptotic normality (CAN). Key Educational Features
: Snippets and abstracts can be found on ResearchGate .
This is the most exam-relevant section.