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by Manoj Kumar Srivastava is a cornerstone text for post-graduate students and aspirants of competitive exams like the I.S.S. (Indian Statistical Service) UGC/CSIR-NET statistical inference by manoj kumar srivastava pdf hot
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Based on Srivastava's curriculum and standard academic frameworks, statistical inference is primarily divided into two major branches: Decision Theory Special Focus UMVUE
-similar and similar tests with Neyman structure for multi-parameter testing PHI Learning Theory of Estimation Amazon.com Testing of Hypotheses Primary Goal Parameter estimation (Point & Interval) Hypothesis testing methodologies Page Count ~808-1006 pages ~416 pages Core Theories Fisherian, Bayesian, Minimax Neyman-Pearson, Decision Theory Special Focus UMVUE, Sufficiency, Large sample properties MP/UMP tests, Likelihood ratio tests