An introduction to probability theory and mathematical statistics. Front Cover. V. K. Rohatgi. Wiley, – Mathematics – pages. An introduction to probability theory and mathematical statistics / V. K. Rohatgi An Introduction to Probability and Statistics, Third Edition remains a solid. An introduction to probability theory and mathematical statistics / V. K. Rohatgi. View the summary of this work. Bookmark:
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Probability; Random variables and their probability distributions; Moments and generating functions; Random vectors; Some special distributions; Limit theorems; Sample moments and their distributions; The probabillty of point estimation; Neyman-Pearson theory of testing of hypotheses; Some further results on hypotheses testing; Confidence estimation; The general linear hypothesis; Nonparametric statistical inference; Sequential statistical inference.
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An Introduction to Probability Theory and Mathematical Statistics
Share your thoughts with other customers. Avinash Kumar rated it it was amazing Jun 25, It’s a strong book to know the estimation of a real parameter or to learn how to test statistical hypotheses.
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Akram Mohamed rated it it was amazing Nov 22, A well-balanced introduction to probability theory and mathematical statistics Featuring a comprehensive update, ” An Introduction to Probability and Statistics, Third Edition” remains a solid overview to probability theory and mathematical statistics. Want to Read saving….
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Ra added it May 26, Sumit Saxena marked it as to-read Jan 05, Common terms and phrases absolutely continuous assume balls Bayes Bayes estimate bivariate normal Borel Borel set CN CN cn ri cn compute confidence interval continuous type converges Corollary defined Definition density df F discrete event Example exists exponential family Find finite following result given iid rv’s independent rv’s inequality joint pdf Lemma Let us write Let Xlt X2 Let Xu X2 level confidence interval likelihood function likelihood ratio test matrix mean normal distribution null hypothesis observations order statistics otherwise parameter pi pi pi pi ri probability space problem random sample random variable real numbers reject H0 Remark ri cn ri rv with pdf rv’s with common sample space Section sequence of rv’s sequential subsets sufficient statistic Suppose symmetric test H0 UMP unbiased UMVUE unbiased estimate unknown values.
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