An Introduction to Probability and Statistics

An Introduction to Probability and Statistics PDF Author: Vijay K. Rohatgi
Publisher: John Wiley & Sons
ISBN: 1118165683
Category : Mathematics
Languages : en
Pages : 748

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Book Description
The second edition of a well-received book that was published 24 years ago and continues to sell to this day, An Introduction to Probability and Statistics is now revised to incorporate new information as well as substantial updates of existing material.

An Introduction to Probability and Statistics

An Introduction to Probability and Statistics PDF Author: Vijay K. Rohatgi
Publisher: John Wiley & Sons
ISBN: 1118165683
Category : Mathematics
Languages : en
Pages : 748

Get Book

Book Description
The second edition of a well-received book that was published 24 years ago and continues to sell to this day, An Introduction to Probability and Statistics is now revised to incorporate new information as well as substantial updates of existing material.

An Introduction to Probability and Statistics

An Introduction to Probability and Statistics PDF Author: Vijay K. Rohatgi
Publisher: John Wiley & Sons
ISBN: 111879964X
Category : Mathematics
Languages : en
Pages : 722

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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.

A Modern Introduction to Probability and Statistics

A Modern Introduction to Probability and Statistics PDF Author: F.M. Dekking
Publisher: Springer Science & Business Media
ISBN: 1846281687
Category : Mathematics
Languages : en
Pages : 488

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Book Description
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

An Introduction to Probability Theory and Its Applications, Volume 2

An Introduction to Probability Theory and Its Applications, Volume 2 PDF Author: William Feller
Publisher: John Wiley & Sons, Incorporated
ISBN:
Category : Mathematics
Languages : en
Pages : 656

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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.

An Introduction to Probability and Statistics

An Introduction to Probability and Statistics PDF Author: Vijay K. Rohatgi
Publisher: John Wiley & Sons
ISBN: 1118799682
Category : Mathematics
Languages : en
Pages : 728

Get Book

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.

Grundbegriffe der Wahrscheinlichkeitsrechnung

Grundbegriffe der Wahrscheinlichkeitsrechnung PDF Author: Andreĭ Nikolaevich Kolmogorov
Publisher:
ISBN:
Category : Probabilities
Languages : de
Pages : 72

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Book Description


Introduction to Probability and Statistics

Introduction to Probability and Statistics PDF Author: William Mendenhall
Publisher: Duxbury Resource Center
ISBN:
Category : Mathematics
Languages : en
Pages : 486

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Book Description
What is statistics? Useful mathematical notation; Describing distributions of measurements; Probability; Random variables and probability distributions; The binomial probability distribution; The normal probability distribution; Statistical inference; Inference from small samples; Linear regression and correlation; Analysis of enumerative data; Considerations in designing experiments; The analysis of variance; Nonparametric statistics.

An Introduction to Probability and Statistical Inference

An Introduction to Probability and Statistical Inference PDF Author: George G. Roussas
Publisher: Academic Press
ISBN: 0128004371
Category : Mathematics
Languages : en
Pages : 624

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Book Description
An Introduction to Probability and Statistical Inference, Second Edition, guides you through probability models and statistical methods and helps you to think critically about various concepts. Written by award-winning author George Roussas, this book introduces readers with no prior knowledge in probability or statistics to a thinking process to help them obtain the best solution to a posed question or situation. It provides a plethora of examples for each topic discussed, giving the reader more experience in applying statistical methods to different situations. This text contains an enhanced number of exercises and graphical illustrations where appropriate to motivate the reader and demonstrate the applicability of probability and statistical inference in a great variety of human activities. Reorganized material is included in the statistical portion of the book to ensure continuity and enhance understanding. Each section includes relevant proofs where appropriate, followed by exercises with useful clues to their solutions. Furthermore, there are brief answers to even-numbered exercises at the back of the book and detailed solutions to all exercises are available to instructors in an Answers Manual. This text will appeal to advanced undergraduate and graduate students, as well as researchers and practitioners in engineering, business, social sciences or agriculture. Content, examples, an enhanced number of exercises, and graphical illustrations where appropriate to motivate the reader and demonstrate the applicability of probability and statistical inference in a great variety of human activities Reorganized material in the statistical portion of the book to ensure continuity and enhance understanding A relatively rigorous, yet accessible and always within the prescribed prerequisites, mathematical discussion of probability theory and statistical inference important to students in a broad variety of disciplines Relevant proofs where appropriate in each section, followed by exercises with useful clues to their solutions Brief answers to even-numbered exercises at the back of the book and detailed solutions to all exercises available to instructors in an Answers Manual

An Introduction to Probability and Statistics Using Basic

An Introduction to Probability and Statistics Using Basic PDF Author: Richard A. Groeneveld
Publisher: CRC Press
ISBN: 1000110427
Category : Mathematics
Languages : en
Pages : 464

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Book Description
This volume introduces the theoretical ideas in probability and statistics by means of examples. The strengths of the BASIC computer language are exploited to illustrate probabilistic and statistical ideas. Topics described by the Committee on the Under-graduate Program in Mathematics are included.

Introduction to Probability and Statistics Using R

Introduction to Probability and Statistics Using R PDF Author: G. Jay Kerns
Publisher: Lulu.com
ISBN: 0557249791
Category :
Languages : en
Pages : 388

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Book Description
This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors.