Introduction to Probability and Mathematical Statistics

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Publisher : Duxbury Press
ISBN 13 : 9780534380205
Total Pages : 644 pages
Book Rating : 4.04/5 ( download)

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Book Synopsis Introduction to Probability and Mathematical Statistics by : Lee J. Bain

Download or read book Introduction to Probability and Mathematical Statistics written by Lee J. Bain and published by Duxbury Press. This book was released on 2000-03-01 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Second Edition of INTRODUCTION TO PROBABILITY AND MATHEMATICAL STATISTICS focuses on developing the skills to build probability (stochastic) models. Lee J. Bain and Max Engelhardt focus on the mathematical development of the subject, with examples and exercises oriented toward applications.

Probability and Mathematical Statistics

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Publisher : Academic Press
ISBN 13 : 1483269205
Total Pages : 255 pages
Book Rating : 4.07/5 ( download)

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Book Synopsis Probability and Mathematical Statistics by : Eugene Lukacs

Download or read book Probability and Mathematical Statistics written by Eugene Lukacs and published by Academic Press. This book was released on 2014-05-10 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability and Mathematical Statistics: An Introduction provides a well-balanced first introduction to probability theory and mathematical statistics. This book is organized into two sections encompassing nine chapters. The first part deals with the concept and elementary properties of probability space, and random variables and their probability distributions. This part also considers the principles of limit theorems, the distribution of random variables, and the so-called student’s distribution. The second part explores pertinent topics in mathematical statistics, including the concept of sampling, estimation, and hypotheses testing. This book is intended primarily for undergraduate statistics students.

An Introduction to Probability Theory and Mathematical Statistics

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Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 704 pages
Book Rating : 4.72/5 ( download)

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Book Synopsis An Introduction to Probability Theory and Mathematical Statistics by : V. K. Rohatgi

Download or read book An Introduction to Probability Theory and Mathematical Statistics written by V. K. Rohatgi and published by Wiley-Interscience. This book was released on 1976-04-07 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

An Introduction to Probability and Statistics

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Publisher : John Wiley & Sons
ISBN 13 : 1118799658
Total Pages : 728 pages
Book Rating : 4.59/5 ( download)

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Book Synopsis An Introduction to Probability and Statistics by : Vijay K. Rohatgi

Download or read book An Introduction to Probability and Statistics written by Vijay K. Rohatgi and published by John Wiley & Sons. This book was released on 2015-09-01 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Modern Introduction to Probability and Statistics

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Publisher : Springer Science & Business Media
ISBN 13 : 1846281687
Total Pages : 488 pages
Book Rating : 4.86/5 ( download)

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Book Synopsis A Modern Introduction to Probability and Statistics by : F.M. Dekking

Download or read book A Modern Introduction to Probability and Statistics written by F.M. Dekking and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books

Advances in Probability and Mathematical Statistics

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Publisher : Springer Nature
ISBN 13 : 303085325X
Total Pages : 178 pages
Book Rating : 4.59/5 ( download)

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Book Synopsis Advances in Probability and Mathematical Statistics by : Daniel Hernández‐Hernández

Download or read book Advances in Probability and Mathematical Statistics written by Daniel Hernández‐Hernández and published by Springer Nature. This book was released on 2021-11-14 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains papers which were presented at the XV Latin American Congress of Probability and Mathematical Statistics (CLAPEM) in December 2019 in Mérida-Yucatán, México. They represent well the wide set of topics on probability and statistics that was covered at this congress, and their high quality and variety illustrates the rich academic program of the conference.

Probability and Mathematical Statistics: Theory, Applications, and Practice in R

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Publisher : SIAM
ISBN 13 : 1611975786
Total Pages : 707 pages
Book Rating : 4.89/5 ( download)

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Book Synopsis Probability and Mathematical Statistics: Theory, Applications, and Practice in R by : Mary C. Meyer

Download or read book Probability and Mathematical Statistics: Theory, Applications, and Practice in R written by Mary C. Meyer and published by SIAM. This book was released on 2019-06-24 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops the theory of probability and mathematical statistics with the goal of analyzing real-world data. Throughout the text, the R package is used to compute probabilities, check analytically computed answers, simulate probability distributions, illustrate answers with appropriate graphics, and help students develop intuition surrounding probability and statistics. Examples, demonstrations, and exercises in the R programming language serve to reinforce ideas and facilitate understanding and confidence. The book’s Chapter Highlights provide a summary of key concepts, while the examples utilizing R within the chapters are instructive and practical. Exercises that focus on real-world applications without sacrificing mathematical rigor are included, along with more than 200 figures that help clarify both concepts and applications. In addition, the book features two helpful appendices: annotated solutions to 700 exercises and a Review of Useful Math. Written for use in applied masters classes, Probability and Mathematical Statistics: Theory, Applications, and Practice in R is also suitable for advanced undergraduates and for self-study by applied mathematicians and statisticians and qualitatively inclined engineers and scientists.

Introduction to Probability and Mathematical Statistics

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Publisher : Brooks/Cole
ISBN 13 :
Total Pages : 584 pages
Book Rating : 4.83/5 ( download)

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Book Synopsis Introduction to Probability and Mathematical Statistics by : Lee J. Bain

Download or read book Introduction to Probability and Mathematical Statistics written by Lee J. Bain and published by Brooks/Cole. This book was released on 1987 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Probability

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Publisher : Courier Corporation
ISBN 13 : 0486158438
Total Pages : 247 pages
Book Rating : 4.33/5 ( download)

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Book Synopsis Introduction to Probability by : John E. Freund

Download or read book Introduction to Probability written by John E. Freund and published by Courier Corporation. This book was released on 2012-05-11 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featured topics include permutations and factorials, probabilities and odds, frequency interpretation, mathematical expectation, decision making, postulates of probability, rule of elimination, much more. Exercises with some solutions. Summary. 1973 edition.

Introduction to Probability and Statistics for Engineers

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Publisher : Springer Science & Business Media
ISBN 13 : 3642383009
Total Pages : 188 pages
Book Rating : 4.07/5 ( download)

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Book Synopsis Introduction to Probability and Statistics for Engineers by : Milan Holický

Download or read book Introduction to Probability and Statistics for Engineers written by Milan Holický and published by Springer Science & Business Media. This book was released on 2013-08-04 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedures used in analysis of these systems are often based on the theory of probability and mathematical statistics. The book sets out fundamental principles of the probability theory, supplemented by theoretical models of random variables, evaluation of experimental data, sampling theory, distribution updating and tests of statistical hypotheses. Basic concepts of Bayesian approach to probability and two-dimensional random variables, are also covered. Examples of reliability analysis and risk assessment of technological systems are used throughout the book to illustrate basic theoretical concepts and their applications. The primary audience for the book includes undergraduate and graduate students of science and engineering, scientific workers and engineers and specialists in the field of reliability analysis and risk assessment. Except basic knowledge of undergraduate mathematics no special prerequisite is required.