Lectures In Mathematical Statistics
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Lectures In Mathematical Statistics
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Author : I͡U. N. Linʹkov
language : en
Publisher: American Mathematical Soc.
Release Date :
Lectures In Mathematical Statistics written by I͡U. N. Linʹkov and has been published by American Mathematical Soc. this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
This volume is intended for the advanced study of several topics in mathematical statistics. The first part of the book is devoted to sampling theory (from one-dimensional and multidimensional distributions), asymptotic properties of sampling, parameter estimation, sufficient statistics, and statistical estimates. The second part is devoted to hypothesis testing and includes the discussion of families of statistical hypotheses that can be asymptotically distinguished. In particular,the author describes goodness-of-fit and sequential statistical criteria (Kolmogorov, Pearson, Smirnov, and Wald) and studies their main properties. The book is suitable for graduate students and researchers interested in mathematical statistics. It is useful for independent study or supplementaryreading.
Lectures And Conferences On Mathematical Statistics And Probability
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Author : Jerzy Neyman
language : en
Publisher:
Release Date : 1952
Lectures And Conferences On Mathematical Statistics And Probability written by Jerzy Neyman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1952 with Mathematical statistics categories.
Lectures In Mathematical Statistics
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Author : I͡U. N. Linʹkov
language : en
Publisher: American Mathematical Soc.
Release Date : 2005
Lectures In Mathematical Statistics written by I͡U. N. Linʹkov and has been published by American Mathematical Soc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Mathematics categories.
This volume is intended for the advanced study of topics in mathematical statistics. The first part of the book is devoted to sampling theory (from one-dimensional and multidimensional distributions), asymptotic properties of sampling, parameter estimation, sufficient statistics, and statistical estimates. The second part is devoted to hypothesis testing and includes the discussion of families of statistical hypotheses that can be asymptotically distinguished. In particular, the author describes goodness-of-fit and sequential statistical criteria (Kolmogorov, Pearson, Smirnov, and Wald) and studies their main properties.
Lectures And Conferences On Mathematical Statistics And Probability
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Author : Jerzy Neyman
language : en
Publisher:
Release Date : 1952
Lectures And Conferences On Mathematical Statistics And Probability written by Jerzy Neyman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1952 with Mathematical statistics categories.
Lectures In Mathematical Statistics
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Author : I︠U︡. N. Linʹkov
language : en
Publisher:
Release Date : 2005
Lectures In Mathematical Statistics written by I︠U︡. N. Linʹkov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Mathematical statistics categories.
This volume is intended for the advanced study of topics in mathematical statistics. The first part of the book is devoted to sampling theory (from one-dimensional and multidimensional distributions), asymptotic properties of sampling, parameter estimation, sufficient statistics, and statistical estimates. The second part is devoted to hypothesis testing and includes the discussion of families of statistical hypotheses that can be asymptotically distinguished. In particular, the author describes goodness-of-fit and sequential statistical criteria (Kolmogorov, Pearson, Smirnov, and Wald) and st.
Lectures In Probability And Statistics
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Author : Guido Del Pino
language : en
Publisher: Springer
Release Date : 2006-11-14
Lectures In Probability And Statistics written by Guido Del Pino and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-14 with Mathematics categories.
With contributions by numerous experts
Lectures And Conferences On Mathematical Statistics
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Author : Jerzy Neyman
language : en
Publisher:
Release Date : 1938
Lectures And Conferences On Mathematical Statistics written by Jerzy Neyman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1938 with Mathematical statistics categories.
Lectures In Probability Theory And Mathematical Statistics
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Author : Stefan Zubrzycki
language : en
Publisher: Elsevier Publishing Company
Release Date : 1972
Lectures In Probability Theory And Mathematical Statistics written by Stefan Zubrzycki and has been published by Elsevier Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Mathematics categories.
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.
Lectures On Probability Theory And Mathematical Statistics 3rd Edition
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Author : Marco Taboga
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-12-08
Lectures On Probability Theory And Mathematical Statistics 3rd Edition written by Marco Taboga and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-08 with Mathematical statistics categories.
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.
Lectures On Probability Theory And Mathematical Statistics 2nd Edition
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Author : Marco Taboga
language : en
Publisher:
Release Date : 2012-12-08
Lectures On Probability Theory And Mathematical Statistics 2nd Edition written by Marco Taboga and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-08 with Mathematical statistics categories.
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.