: Includes essential topics such as Sufficient Statistics , Minimal Sufficient Statistics, and UMVUE (Uniformly Minimum Variance Unbiased Estimators) .
: Serves as a reference for researchers in specialized fields like biostatistics, econometrics, and agricultural statistics. Amazon.com Availability and Formats
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Detailed mathematical development of MP, Uniformly Most Powerful (UMP), and UMP unbiased tests for different types of testing problems. statistical inference by manoj kumar srivastava pdf hot
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: Co-authored with Namita Srivastava, this book focuses on the methodology of testing statistical claims. Key Features and Content
Coverage of Bayesian estimation techniques alongside classical approaches.
: The book treats "Information" as a physical quantity that exists within data, which we can harvest using Maximum Likelihood Estimation (MLE). 3. The Bayesian vs. Classical Rivalry : Includes essential topics such as Sufficient Statistics
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Manoj Kumar Srivastava, a noted academic in the field of statistics, focuses on bringing the foundational methodologies of inferential statistics into focus. The works are typically structured as textbooks designed for:
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Neyman-Pearson theory, Most Powerful (MP) tests, Uniformly Most Powerful (UMP) tests, and Likelihood Ratio tests . Physical copies can sometimes be difficult to source
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There are two main types of statistical inference:
The curriculum is split into two distinct, comprehensive volumes available in physical and digital formats. 1. Statistical Inference: Theory of Estimation