Author: Vijay K. Rohatgi
Publisher: John Wiley & Sons
ISBN: 111879964X
Category : Mathematics
Languages : en
Pages : 722
Book Description
A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics. An Introduction to Probability and Statistics, Third Edition includes: A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics Additional topical coverage on bootstrapping, estimation procedures, and resampling Discussions on invariance, ancillary statistics, conjugate prior distributions, and invariant confidence intervals Over 550 problems and answers to most problems, as well as 350 worked out examples and 200 remarks Numerous figures to further illustrate examples and proofs throughout An Introduction to Probability and Statistics, Third Edition is an ideal reference and resource for scientists and engineers in the fields of statistics, mathematics, physics, industrial management, and engineering. The book is also an excellent text for upper-undergraduate and graduate-level students majoring in probability and statistics.
An Introduction to Probability and Statistics
Author: Vijay K. Rohatgi
Publisher: John Wiley & Sons
ISBN: 111879964X
Category : Mathematics
Languages : en
Pages : 722
Book Description
A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics. An Introduction to Probability and Statistics, Third Edition includes: A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics Additional topical coverage on bootstrapping, estimation procedures, and resampling Discussions on invariance, ancillary statistics, conjugate prior distributions, and invariant confidence intervals Over 550 problems and answers to most problems, as well as 350 worked out examples and 200 remarks Numerous figures to further illustrate examples and proofs throughout An Introduction to Probability and Statistics, Third Edition is an ideal reference and resource for scientists and engineers in the fields of statistics, mathematics, physics, industrial management, and engineering. The book is also an excellent text for upper-undergraduate and graduate-level students majoring in probability and statistics.
Publisher: John Wiley & Sons
ISBN: 111879964X
Category : Mathematics
Languages : en
Pages : 722
Book Description
A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics. An Introduction to Probability and Statistics, Third Edition includes: A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics Additional topical coverage on bootstrapping, estimation procedures, and resampling Discussions on invariance, ancillary statistics, conjugate prior distributions, and invariant confidence intervals Over 550 problems and answers to most problems, as well as 350 worked out examples and 200 remarks Numerous figures to further illustrate examples and proofs throughout An Introduction to Probability and Statistics, Third Edition is an ideal reference and resource for scientists and engineers in the fields of statistics, mathematics, physics, industrial management, and engineering. The book is also an excellent text for upper-undergraduate and graduate-level students majoring in probability and statistics.
An Introduction to Probability Theory and Its Applications, Volume 1
Author: William Feller
Publisher: John Wiley & Sons
ISBN:
Category : Mathematics
Languages : en
Pages : 536
Book Description
The nature of probability theory. The sample space. Elements of combinatorial analysis. Fluctuations in coin tossing and random walks. Combination of events. Conditional probability, stochastic independence. The binomial and the Poisson distributions. The Normal approximation to the binomial distribution. Unlimited sequences of Bernoulli trials. Random variables, expectation. Laws of large numbers. Integral valued variables, generating functions. Compound distributions. Branching processes. Recurrent events. Renewal theory. Random walk and ruin problems. Markov chains. Algebraic treatment of finite Markov chains. The simplest time-dependent stochastic processes. Answer to problems. Index.
Publisher: John Wiley & Sons
ISBN:
Category : Mathematics
Languages : en
Pages : 536
Book Description
The nature of probability theory. The sample space. Elements of combinatorial analysis. Fluctuations in coin tossing and random walks. Combination of events. Conditional probability, stochastic independence. The binomial and the Poisson distributions. The Normal approximation to the binomial distribution. Unlimited sequences of Bernoulli trials. Random variables, expectation. Laws of large numbers. Integral valued variables, generating functions. Compound distributions. Branching processes. Recurrent events. Renewal theory. Random walk and ruin problems. Markov chains. Algebraic treatment of finite Markov chains. The simplest time-dependent stochastic processes. Answer to problems. Index.
An Introduction to Probability Theory and Its Applications, Volume 2
Author: William Feller
Publisher: John Wiley & Sons, Incorporated
ISBN:
Category : Mathematics
Languages : en
Pages : 656
Book Description
The classic text for understanding complex statistical probability An Introduction to Probability Theory and Its Applications offers comprehensive explanations to complex statistical problems. Delving deep into densities and distributions while relating critical formulas, processes and approaches, this rigorous text provides a solid grounding in probability with practice problems throughout. Heavy on application without sacrificing theory, the discussion takes the time to explain difficult topics and how to use them. This new second edition includes new material related to the substitution of probabilistic arguments for combinatorial artifices as well as new sections on branching processes, Markov chains, and the DeMoivre-Laplace theorem.
Publisher: John Wiley & Sons, Incorporated
ISBN:
Category : Mathematics
Languages : en
Pages : 656
Book Description
The classic text for understanding complex statistical probability An Introduction to Probability Theory and Its Applications offers comprehensive explanations to complex statistical problems. Delving deep into densities and distributions while relating critical formulas, processes and approaches, this rigorous text provides a solid grounding in probability with practice problems throughout. Heavy on application without sacrificing theory, the discussion takes the time to explain difficult topics and how to use them. This new second edition includes new material related to the substitution of probabilistic arguments for combinatorial artifices as well as new sections on branching processes, Markov chains, and the DeMoivre-Laplace theorem.
Probability Theory and Mathematical Statistics
Author: Marek Fisz
Publisher:
ISBN: 9780898741797
Category : Mathematics
Languages : en
Pages : 677
Book Description
Publisher:
ISBN: 9780898741797
Category : Mathematics
Languages : en
Pages : 677
Book Description
An Introduction to Probability Theory and Mathematical Statistics
Author: V. K. Rohatgi
Publisher: Wiley-Interscience
ISBN:
Category : Mathematics
Languages : en
Pages : 712
Book Description
Sets and classes; Calculus; Linear Algebra; Probability; Random variables and their probability distributions; Moments and generating functions; Random vectors; Some special distributions; Limit theorems; Sample moments and their distributions; The theory 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.
Publisher: Wiley-Interscience
ISBN:
Category : Mathematics
Languages : en
Pages : 712
Book Description
Sets and classes; Calculus; Linear Algebra; Probability; Random variables and their probability distributions; Moments and generating functions; Random vectors; Some special distributions; Limit theorems; Sample moments and their distributions; The theory 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.
Introduction to Probability Theory and Statistical Inference
Author: Harold J. Larson
Publisher: John Wiley & Sons
ISBN:
Category : Mathematics
Languages : en
Pages : 450
Book Description
Discusses probability theory and to many methods used in problems of statistical inference. The Third Edition features material on descriptive statistics. Cramer-Rao bounds for variance of estimators, two-sample inference procedures, bivariate normal probability law, F-Distribution, and the analysis of variance and non-parametric procedures. Contains numerous practical examples and exercises.
Publisher: John Wiley & Sons
ISBN:
Category : Mathematics
Languages : en
Pages : 450
Book Description
Discusses probability theory and to many methods used in problems of statistical inference. The Third Edition features material on descriptive statistics. Cramer-Rao bounds for variance of estimators, two-sample inference procedures, bivariate normal probability law, F-Distribution, and the analysis of variance and non-parametric procedures. Contains numerous practical examples and exercises.
An Introduction to Probability Theory and Mathematical Statistics
Author: Vijay K. Rohatgi
Publisher:
ISBN: 9780852267448
Category : Mathematical statistics
Languages : en
Pages : 684
Book Description
Publisher:
ISBN: 9780852267448
Category : Mathematical statistics
Languages : en
Pages : 684
Book Description
Probability Theory and Mathematical Statistics. Vol. 1
Author: Yu. V. Prohorov
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3112319001
Category : Mathematics
Languages : en
Pages : 584
Book Description
No detailed description available for "PROC. VILNIUS CONF. PROB. STAT. VOL. 1 (PROHOROV) E-BOOK".
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3112319001
Category : Mathematics
Languages : en
Pages : 584
Book Description
No detailed description available for "PROC. VILNIUS CONF. PROB. STAT. VOL. 1 (PROHOROV) E-BOOK".
An Introduction to Probability and Mathematical Statistics
Author: Howard G. Tucker
Publisher: Academic Press
ISBN: 1483225143
Category : Mathematics
Languages : en
Pages : 240
Book Description
An Introduction to Probability and Mathematical Statistics provides information pertinent to the fundamental aspects of probability and mathematical statistics. This book covers a variety of topics, including random variables, probability distributions, discrete distributions, and point estimation. Organized into 13 chapters, this book begins with an overview of the definition of function. This text then examines the notion of conditional or relative probability. Other chapters consider Cochran's theorem, which is of extreme importance in that part of statistical inference known as analysis of variance. This book discusses as well the fundamental principles of testing statistical hypotheses by providing the reader with an idea of the basic problem and its relation to practice. The final chapter deals with the problem of estimation and the Neyman theory of confidence intervals. This book is a valuable resource for undergraduate university students who are majoring in mathematics. Students who are majoring in physics and who are inclined toward abstract mathematics will also find this book useful.
Publisher: Academic Press
ISBN: 1483225143
Category : Mathematics
Languages : en
Pages : 240
Book Description
An Introduction to Probability and Mathematical Statistics provides information pertinent to the fundamental aspects of probability and mathematical statistics. This book covers a variety of topics, including random variables, probability distributions, discrete distributions, and point estimation. Organized into 13 chapters, this book begins with an overview of the definition of function. This text then examines the notion of conditional or relative probability. Other chapters consider Cochran's theorem, which is of extreme importance in that part of statistical inference known as analysis of variance. This book discusses as well the fundamental principles of testing statistical hypotheses by providing the reader with an idea of the basic problem and its relation to practice. The final chapter deals with the problem of estimation and the Neyman theory of confidence intervals. This book is a valuable resource for undergraduate university students who are majoring in mathematics. Students who are majoring in physics and who are inclined toward abstract mathematics will also find this book useful.
Probability Theory and Mathematical Statistics. Vol. 2
Author: B. Grigelionis
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3112319028
Category : Mathematics
Languages : en
Pages : 624
Book Description
No detailed description available for "PROB. TH. MATH. ST. ( GRIGELIONIS) VOL. 2 PROC.5/1989 E-BOOK".
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3112319028
Category : Mathematics
Languages : en
Pages : 624
Book Description
No detailed description available for "PROB. TH. MATH. ST. ( GRIGELIONIS) VOL. 2 PROC.5/1989 E-BOOK".