Probability Distributions: Understanding the behavior of variables.
Detailed analysis of Uniformly Most Powerful (UMP) tests and their derivations. Sequential Methods: Basic concepts of sequential testing.
, Wald and Ferguson's decision theory, and Likelihood ratio tests. : Namita Srivastava. PHI Learning Statistical Inference: Theory of Estimation statistical inference by manoj kumar srivastava pdf hot
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This volume focuses on point and interval estimation, bridging classical Fisherian foundations with Bayesian approaches. , Wald and Ferguson's decision theory, and Likelihood
: Large-sample properties including consistency and Asymptotic Normality (CAN/BAN) .
Rigorous mathematical proofs involving criteria like unbiasedness, sufficiency, equivariance, and minimaxity. This volume focuses on point and interval estimation,
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Explores the Cramer-Rao inequality, Bhattacharyya variance lower bounds for regular models, and Chapman-Robbins-Kiefer bounds for Pitman models.