Introduction To Probability And Statistics 2 PDF Books

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A Modern Introduction To Probability And Statistics

Author: F.M. Dekking
Publisher: Springer Science & Business Media
ISBN: 1846281687
Size: 64.55 MB
Format: PDF, Mobi
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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

Language: en
Pages: 688

An Introduction to Probability and Statistics

Authors: Vijay K. Rohatgi, A.K. Md. Ehsanes Saleh

Categories: Mathematics

Type: BOOK - Published: 2015-08-31 - Publisher: John Wiley & Sons

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This Third Edition provides a solid and well-balancedintroduction to probability theory and mathematicalstatistics. The book is divided into three parts: Chapters1-6 form the core of probability fundamentals and foundations;Chapters 7-11 cover statistics inference; and the remainingchapters focus on special topics. For course sequences thatseparate probability and mathematics statistics, the first part ofthe book can be used for a course in probability theory, followedby a course in mathematical statistics based on the second part,and possibly, one or more chapters on special topics. Thebook contains over 550 problems, 350 worked-out examples, and 200side notes for reader reference. Numerous figures have beenadded to illustrate examples and proofs, and answers to selectproblems are now included. Many parts of the book haveundergone substantial rewriting, and the book has also beenreorganized. Chapters 6 and 7 have been interchanged to emphasizethe role of asymptotics in statistics, and the new Chapter 7contains all of the needed basic material on asymptotics. Chapter 6 also includes new material on resampling, specificallybootstrap. The new Further Results chapter include someestimation procedures such as M-estimatesand bootstrapping. A new chapter on regression analysishas also been added and contains sections on linear regression,multiple regression, subset regression, logistic regression, andPoisson regression.

Language: en
Pages: 488

A Modern Introduction to Probability and Statistics

Authors: F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester

Categories: Mathematics

Type: BOOK - Published: 2006-03-30 - Publisher: Springer Science & Business Media

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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

Language: en
Pages: 240

An Introduction to Probability and Mathematical Statistics

Authors: Howard G. Tucker

Categories: Mathematics

Type: BOOK - Published: 2014-05-12 - Publisher: Academic Press

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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.

Language: en
Pages: 464

An Introduction to Probability and Statistics Using Basic

Authors: Richard A. Groeneveld

Categories: Mathematics

Type: BOOK - Published: 2020-09-24 - Publisher: CRC Press

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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.

Language: en
Pages: 200

Probability and Statistics

Authors: Michael J. Evans, Jeffrey S. Rosenthal

Categories: Mathematics

Type: BOOK - Published: 2010-03-01 - Publisher: WH Freeman

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Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor to the course, incorporating the computer and offering an integrated approach to inference that includes the frequency approach and the Bayesian inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout. Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. The new edition includes a number of features designed to make the material more accessible and level-appropriate to the students taking this course today.

Language: en
Pages: 416

Stochastics

Authors: Hans-Otto Georgii

Categories: Mathematics

Type: BOOK - Published: 2013-01-01 - Publisher: Walter de Gruyter

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This second revised and extended edition presents the fundamental ideas and results of both, probability theory and statistics, and comprises the material of a one-year course. It is addressed to students with an interest in the mathematical side of stochastics. Stochastic concepts, models and methods are motivated by examples and developed and analysed systematically. Some measure theory is included, but this is done at an elementary level that is in accordance with the introductory character of the book. A large number of problems offer applications and supplements to the text.

Language: en
Pages: 523

An Introduction to Probability and Statistical Inference

Authors: George G. Roussas

Categories: Mathematics

Type: BOOK - Published: 2003-02-13 - Publisher: Elsevier

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Roussas introduces readers with no prior knowledge in probability or statistics, to a thinking process to guide them toward the best solution to a posed question or situation. An Introduction to Probability and Statistical Inference provides a plethora of examples for each topic discussed, giving the reader more experience in applying statistical methods to different situations. "The text is wonderfully written and has the most comprehensive range of exercise problems that I have ever seen." — Tapas K. Das, University of South Florida "The exposition is great; a mixture between conversational tones and formal mathematics; the appropriate combination for a math text at [this] level. In my examination I could find no instance where I could improve the book." — H. Pat Goeters, Auburn, University, Alabama * Contains more than 200 illustrative examples discussed in detail, plus scores of numerical examples and applications * Chapters 1-8 can be used independently for an introductory course in probability * Provides a substantial number of proofs

Language: en
Pages: 181

Introduction to Probability and Statistics for Engineers

Authors: Milan Holický

Categories: Mathematics

Type: BOOK - Published: 2013-08-04 - Publisher: Springer Science & Business Media

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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.

Language: en
Pages: 246

Elements of Probability and Statistics

Authors: Francesca Biagini, Massimo Campanino

Categories: Mathematics

Type: BOOK - Published: 2016-01-22 - Publisher: Springer

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This book provides an introduction to elementary probability and to Bayesian statistics using de Finetti's subjectivist approach. One of the features of this approach is that it does not require the introduction of sample space – a non-intrinsic concept that makes the treatment of elementary probability unnecessarily complicate – but introduces as fundamental the concept of random numbers directly related to their interpretation in applications. Events become a particular case of random numbers and probability a particular case of expectation when it is applied to events. The subjective evaluation of expectation and of conditional expectation is based on an economic choice of an acceptable bet or penalty. The properties of expectation and conditional expectation are derived by applying a coherence criterion that the evaluation has to follow. The book is suitable for all introductory courses in probability and statistics for students in Mathematics, Informatics, Engineering, and Physics.

Language: en
Pages: 400

Introduction to Probability

Authors: George G. Roussas

Categories: Mathematics

Type: BOOK - Published: 2006-09-18 - Publisher: Elsevier

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Roussas's Introduction to Probability features exceptionally clear explanations of the mathematics of probability theory and explores its diverse applications through numerous interesting and motivational examples. It provides a thorough introduction to the subject for professionals and advanced students taking their first course in probability. The content is based on the introductory chapters of Roussas's book, An Intoduction to Probability and Statistical Inference, with additional chapters and revisions. • Written by a well-respected author known for great exposition and readability • Boasts many real world examples • Pedagogy includes chapter summaries, tables of distributions and formulas, and answers to even-numbered exercises