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Author : Jerzy Neyman
Publisher :
ISBN 13 :
Total Pages : 296 pages
Book Rating : 4.27/5 ( download)
Download or read book Lectures and Conferences on Mathematical Statistics and Probability written by Jerzy Neyman and published by . This book was released on 1952 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jerzy Neyman
Publisher :
ISBN 13 :
Total Pages : 274 pages
Book Rating : 4.78/5 ( download)
Download or read book Lectures and Conferences on Mathematical Statistics and Probability written by Jerzy Neyman and published by . This book was released on 1952 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jerzy Neyman
Publisher :
ISBN 13 :
Total Pages : 332 pages
Book Rating : 4.82/5 ( download)
Download or read book Lectures and Conferences on Mathematical Statistics and Probability written by Jerzy Neyman and published by . This book was released on 1952 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jerzy Neyman
Publisher :
ISBN 13 :
Total Pages : 196 pages
Book Rating : 4.06/5 ( download)
Download or read book Lectures and Conferences on Mathematical Statistics written by Jerzy Neyman and published by . This book was released on 1938 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Witold Klonecki
Publisher :
ISBN 13 : 9783540904939
Total Pages : 373 pages
Book Rating : 4.3X/5 ( download)
Download or read book Mathematical Statistics and Probability Theory written by Witold Klonecki and published by . This book was released on 1980 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Stefan Zubrzycki
Publisher : Elsevier Publishing Company
ISBN 13 :
Total Pages : 344 pages
Book Rating : 4.42/5 ( download)
Download or read book Lectures in Probability Theory and Mathematical Statistics written by Stefan Zubrzycki and published by Elsevier Publishing Company. This book was released on 1972 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Events and probability; Probabilities in the most important spaces of elementary events; Conditional probability, stochastic independence of events; Classical limit theorems; Random variables; Laws of large numbers; Central limit theorems of probability theory; Statistical inference.
Author : Marco Taboga
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781981369195
Total Pages : 670 pages
Book Rating : 4.98/5 ( download)
Download or read book Lectures on Probability Theory and Mathematical Statistics - 3rd Edition written by Marco Taboga and published by Createspace Independent Publishing Platform. This book was released on 2017-12-08 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of 80 short and self-contained lectures covering most of the topics that are usually taught in intermediate courses in probability theory and mathematical statistics. There are hundreds of examples, solved exercises and detailed derivations of important results. The step-by-step approach makes the book easy to understand and ideal for self-study. One of the main aims of the book is to be a time saver: it contains several results and proofs, especially on probability distributions, that are hard to find in standard references and are scattered here and there in more specialistic books. The topics covered by the book are as follows. PART 1 - MATHEMATICAL TOOLS: set theory, permutations, combinations, partitions, sequences and limits, review of differentiation and integration rules, the Gamma and Beta functions. PART 2 - FUNDAMENTALS OF PROBABILITY: events, probability, independence, conditional probability, Bayes' rule, random variables and random vectors, expected value, variance, covariance, correlation, covariance matrix, conditional distributions and conditional expectation, independent variables, indicator functions. PART 3 - ADDITIONAL TOPICS IN PROBABILITY THEORY: probabilistic inequalities, construction of probability distributions, transformations of probability distributions, moments and cross-moments, moment generating functions, characteristic functions. PART 4 - PROBABILITY DISTRIBUTIONS: Bernoulli, binomial, Poisson, uniform, exponential, normal, Chi-square, Gamma, Student's t, F, multinomial, multivariate normal, multivariate Student's t, Wishart. PART 5 - MORE DETAILS ABOUT THE NORMAL DISTRIBUTION: linear combinations, quadratic forms, partitions. PART 6 - ASYMPTOTIC THEORY: sequences of random vectors and random variables, pointwise convergence, almost sure convergence, convergence in probability, mean-square convergence, convergence in distribution, relations between modes of convergence, Laws of Large Numbers, Central Limit Theorems, Continuous Mapping Theorem, Slutsky's Theorem. PART 7 - FUNDAMENTALS OF STATISTICS: statistical inference, point estimation, set estimation, hypothesis testing, statistical inferences about the mean, statistical inferences about the variance.
Download or read book SELECTED TRANSLATIONS IN MATHEMATICAL STATISTICS AND PROBABILITY- 11 LECTURES- 4TH PRAGUE CONFERENCE ON INFORMATION THEORY STATISTICAL DECISION FUNCTIONS AND RANDOM PROCESSES. written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Guido Del Pino
Publisher : Springer
ISBN 13 : 3540470921
Total Pages : 496 pages
Book Rating : 4.22/5 ( download)
Download or read book Lectures in Probability and Statistics written by Guido Del Pino and published by Springer. This book was released on 2006-11-14 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: With contributions by numerous experts
Author : Marco Taboga
Publisher :
ISBN 13 : 9781480215238
Total Pages : 656 pages
Book Rating : 4.36/5 ( download)
Download or read book Lectures on Probability Theory and Mathematical Statistics - 2nd Edition written by Marco Taboga and published by . This book was released on 2012-12-08 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of lectures on probability theory and mathematical statistics. It provides an accessible introduction to topics that are not usually found in elementary textbooks. It collects results and proofs, especially on probability distributions, that are hard to find in standard references and are scattered here and there in more specialistic books.The main topics covered by the book are as follows.PART 1 - MATHEMATICAL TOOLS: set theory, permutations, combinations, partitions, sequences and limits, review of differentiation and integration rules, the Gamma and Beta functions.PART 2 - FUNDAMENTALS OF PROBABILITY: events, probability, independence, conditional probability, Bayes' rule, random variables and random vectors, expected value, variance, covariance, correlation, covariance matrix, conditional distributions and conditional expectation, independent variables, indicator functions.PART 3 - ADDITIONAL TOPICS IN PROBABILITY THEORY: probabilistic inequalities, construction of probability distributions, transformations of probability distributions, moments and cross-moments, moment generating functions, characteristic functions.PART 4 - PROBABILITY DISTRIBUTIONS: Bernoulli, binomial, Poisson, uniform, exponential, normal, Chi-square, Gamma, Student's t, F, multinomial, multivariate normal, multivariate Student's t, Wishart.PART 5 - MORE DETAILS ABOUT THE NORMAL DISTRIBUTION: linear combinations, quadratic forms, partitions.PART 6 - ASYMPTOTIC THEORY: sequences of random vectors and random variables, pointwise convergence, almost sure convergence, convergence in probability, mean-square convergence, convergence in distribution, relations between modes of convergence, Laws of Large Numbers, Central Limit Theorems, Continuous Mapping Theorem, Slutski's Theorem.PART 7 - FUNDAMENTALS OF STATISTICS: statistical inference, point estimation, set estimation, hypothesis testing, statistical inferences about the mean, statistical inferences about the variance.
