Probability, Statistics, and Stochastic Processes

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Publisher : John Wiley & Sons
ISBN 13 : 1118231325
Total Pages : 573 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Probability, Statistics, and Stochastic Processes by : Peter Olofsson

Download or read book Probability, Statistics, and Stochastic Processes written by Peter Olofsson and published by John Wiley & Sons. This book was released on 2012-05-04 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition ". . . an excellent textbook . . . well organized and neatly written." —Mathematical Reviews ". . . amazingly interesting . . ." —Technometrics Thoroughly updated to showcase the interrelationships between probability, statistics, and stochastic processes, Probability, Statistics, and Stochastic Processes, Second Edition prepares readers to collect, analyze, and characterize data in their chosen fields. Beginning with three chapters that develop probability theory and introduce the axioms of probability, random variables, and joint distributions, the book goes on to present limit theorems and simulation. The authors combine a rigorous, calculus-based development of theory with an intuitive approach that appeals to readers' sense of reason and logic. Including more than 400 examples that help illustrate concepts and theory, the Second Edition features new material on statistical inference and a wealth of newly added topics, including: Consistency of point estimators Large sample theory Bootstrap simulation Multiple hypothesis testing Fisher's exact test and Kolmogorov-Smirnov test Martingales, renewal processes, and Brownian motion One-way analysis of variance and the general linear model Extensively class-tested to ensure an accessible presentation, Probability, Statistics, and Stochastic Processes, Second Edition is an excellent book for courses on probability and statistics at the upper-undergraduate level. The book is also an ideal resource for scientists and engineers in the fields of statistics, mathematics, industrial management, and engineering.

Introduction to Mathematical Statistics, Fifth Edition

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Publisher :
ISBN 13 : 9780132089357
Total Pages : 88 pages
Book Rating : 4.0/5 (893 download)

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Book Synopsis Introduction to Mathematical Statistics, Fifth Edition by : Robert V. Hogg

Download or read book Introduction to Mathematical Statistics, Fifth Edition written by Robert V. Hogg and published by . This book was released on 1995 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:

An Introduction to Probability Theory and Mathematical Statistics

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Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 704 pages
Book Rating : 4.3/5 (91 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.

Probability and Mathematical Statistics

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Publisher : Academic Press
ISBN 13 : 1483269205
Total Pages : 254 pages
Book Rating : 4.4/5 (832 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 254 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 Mathematical Statistics

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Publisher :
ISBN 13 :
Total Pages : 456 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis An Introduction to Mathematical Statistics by : H. D. Brunk

Download or read book An Introduction to Mathematical Statistics written by H. D. Brunk and published by . This book was released on 1965 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elementary probability spaces; General probability spaces; Random variables; Multivariate distributions; The algebra of expectations; Random sampling; The law of large numbers; Estimation of parameters; Central limit theorem; Confidence intervals and tests of hypotheses; Decision theory and bayesian inference; Regression; Sampling from a normal population; Testing hypotheses; Experimental design and analysis of variance; Other sampling methods; Distribution-free methods; Tables.

Introduction to Statistical Investigations

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Publisher : Wiley Global Education
ISBN 13 : 1119154316
Total Pages : 696 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Introduction to Statistical Investigations by : Nathan Tintle

Download or read book Introduction to Statistical Investigations written by Nathan Tintle and published by Wiley Global Education. This book was released on 2015-12-17 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Statistical Investigations leads students to learn about the process of conducting statistical investigations from data collection, to exploring data, to statistical inference, to drawing appropriate conclusions. The text is designed for a one-semester introductory statistics course. It focuses on genuine research studies, active learning, and effective use of technology. Simulations and randomization tests introduce statistical inference, yielding a strong conceptual foundation that bridges students to theory-based inference approaches. Repetition allows students to see the logic and scope of inference. This implementation follows the GAISE recommendations endorsed by the American Statistical Association.

Introduction to Probability and Stochastic Processes with Applications

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Publisher : John Wiley & Sons
ISBN 13 : 1118344960
Total Pages : 741 pages
Book Rating : 4.1/5 (183 download)

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Book Synopsis Introduction to Probability and Stochastic Processes with Applications by : Liliana Blanco Castañeda

Download or read book Introduction to Probability and Stochastic Processes with Applications written by Liliana Blanco Castañeda and published by John Wiley & Sons. This book was released on 2014-08-21 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: An easily accessible, real-world approach to probability and stochastic processes Introduction to Probability and Stochastic Processes with Applications presents a clear, easy-to-understand treatment of probability and stochastic processes, providing readers with a solid foundation they can build upon throughout their careers. With an emphasis on applications in engineering, applied sciences, business and finance, statistics, mathematics, and operations research, the book features numerous real-world examples that illustrate how random phenomena occur in nature and how to use probabilistic techniques to accurately model these phenomena. The authors discuss a broad range of topics, from the basic concepts of probability to advanced topics for further study, including Itô integrals, martingales, and sigma algebras. Additional topical coverage includes: Distributions of discrete and continuous random variables frequently used in applications Random vectors, conditional probability, expectation, and multivariate normal distributions The laws of large numbers, limit theorems, and convergence of sequences of random variables Stochastic processes and related applications, particularly in queueing systems Financial mathematics, including pricing methods such as risk-neutral valuation and the Black-Scholes formula Extensive appendices containing a review of the requisite mathematics and tables of standard distributions for use in applications are provided, and plentiful exercises, problems, and solutions are found throughout. Also, a related website features additional exercises with solutions and supplementary material for classroom use. Introduction to Probability and Stochastic Processes with Applications is an ideal book for probability courses at the upper-undergraduate level. The book is also a valuable reference for researchers and practitioners in the fields of engineering, operations research, and computer science who conduct data analysis to make decisions in their everyday work.

Mathematical Statistics

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Publisher : Springer Science & Business Media
ISBN 13 : 0387227695
Total Pages : 454 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Mathematical Statistics by : George R. Terrell

Download or read book Mathematical Statistics written by George R. Terrell and published by Springer Science & Business Media. This book was released on 2006-04-06 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces the mathematical concepts and methods that underlie statistics. The course is unified, in the sense that no prior knowledge of probability theory is assumed, being developed as needed. The book is committed to both a high level of mathematical seriousness and to an intimate connection with application. In its teaching style, the book is * mathematically complete * concrete * constructive * active. The text is aimed at the upper undergraduate or the beginning Masters program level. It assumes the usual two-year college mathematics sequence, including an introduction to multiple integrals, matrix algebra, and infinite series.

Introduction to Probability, Statistics, and Random Processes

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Publisher :
ISBN 13 : 9780990637202
Total Pages : 746 pages
Book Rating : 4.6/5 (372 download)

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Book Synopsis Introduction to Probability, Statistics, and Random Processes by : Hossein Pishro-Nik

Download or read book Introduction to Probability, Statistics, and Random Processes written by Hossein Pishro-Nik and published by . This book was released on 2014-08-15 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers basic concepts such as random experiments, probability axioms, conditional probability, and counting methods, single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities; limit theorems and convergence; introduction to Bayesian and classical statistics; random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion; simulation using MATLAB and R.

Introduction to Probability with Statistical Applications

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Publisher : Birkhäuser
ISBN 13 : 3319306200
Total Pages : 385 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Introduction to Probability with Statistical Applications by : Géza Schay

Download or read book Introduction to Probability with Statistical Applications written by Géza Schay and published by Birkhäuser. This book was released on 2016-06-17 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its second edition, this textbook serves as an introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and continuous random variables, expectation and variance, and common probability distributions such as the binomial, Poisson, and normal distributions. More classical examples such as Montmort's problem, the ballot problem, and Bertrand’s paradox are now included, along with applications such as the Maxwell-Boltzmann and Bose-Einstein distributions in physics. Key features in new edition: * 35 new exercises * Expanded section on the algebra of sets * Expanded chapters on probabilities to include more classical examples * New section on regression * Online instructors' manual containing solutions to all exercises“/p> Advanced undergraduate and graduate students in computer science, engineering, and other natural and social sciences with only a basic background in calculus will benefit from this introductory text balancing theory with applications. Review of the first edition: This textbook is a classical and well-written introduction to probability theory and statistics. ... the book is written ‘for an audience such as computer science students, whose mathematical background is not very strong and who do not need the detail and mathematical depth of similar books written for mathematics or statistics majors.’ ... Each new concept is clearly explained and is followed by many detailed examples. ... numerous examples of calculations are given and proofs are well-detailed." (Sophie Lemaire, Mathematical Reviews, Issue 2008 m)

Elementary Applications of Probability Theory, Second Edition

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Publisher : CRC Press
ISBN 13 : 9780412576201
Total Pages : 324 pages
Book Rating : 4.5/5 (762 download)

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Book Synopsis Elementary Applications of Probability Theory, Second Edition by : Henry C. Tuckwell

Download or read book Elementary Applications of Probability Theory, Second Edition written by Henry C. Tuckwell and published by CRC Press. This book was released on 1995-05-15 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a clear and straightforward introduction to applications of probability theory with examples given in the biological sciences and engineering. The first chapter contains a summary of basic probability theory. Chapters two to five deal with random variables and their applications. Topics covered include geometric probability, estimation of animal and plant populations, reliability theory and computer simulation. Chapter six contains a lucid account of the convergence of sequences of random variables, with emphasis on the central limit theorem and the weak law of numbers. The next four chapters introduce random processes, including random walks and Markov chains illustrated by examples in population genetics and population growth. This edition also includes two chapters which introduce, in a manifestly readable fashion, the topic of stochastic differential equations and their applications.

An Introduction to Probability and Mathematical Statistics

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Publisher : Academic Press
ISBN 13 : 1483225143
Total Pages : 240 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis An Introduction to Probability and Mathematical Statistics by : Howard G. Tucker

Download or read book An Introduction to Probability and Mathematical Statistics written by Howard G. Tucker and published by Academic Press. This book was released on 2014-05-12 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 with Statistical Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 0817682503
Total Pages : 349 pages
Book Rating : 4.8/5 (176 download)

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Book Synopsis Probability with Statistical Applications by : Rinaldo B. Schinazi

Download or read book Probability with Statistical Applications written by Rinaldo B. Schinazi and published by Springer Science & Business Media. This book was released on 2011-12-16 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition textbook offers a practical introduction to probability for undergraduates at all levels with different backgrounds and views towards applications. Calculus is a prerequisite for understanding the basic concepts, however the book is written with a sensitivity to students’ common difficulties with calculus that does not obscure the thorough treatment of the probability content. The first six chapters of this text neatly and concisely cover the material traditionally required by most undergraduate programs for a first course in probability. The comprehensive text includes a multitude of new examples and exercises, and careful revisions throughout. Particular attention is given to the expansion of the last three chapters of the book with the addition of one entirely new chapter (9) on ’Finding and Comparing Estimators.’ The classroom-tested material presented in this second edition forms the basis for a second course introducing mathematical statistics.

Introduction to Mathematical Statistics

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Publisher :
ISBN 13 :
Total Pages : 584 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Introduction to Mathematical Statistics by : Robert V. Hogg

Download or read book Introduction to Mathematical Statistics written by Robert V. Hogg and published by . This book was released on 1995 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fifth edition of text offers a careful presentation of the probability needed for mathematical statistics and the mathematics of statistical inference. Offering a background for those who wish to go on to study statistical applications or more advanced theory, this text presents a thorough treatment of the mathematics of statistics.

Introduction to Probability and Statistics, Second Edition,

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Publisher : CRC Press
ISBN 13 : 9780824790370
Total Pages : 570 pages
Book Rating : 4.7/5 (93 download)

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Book Synopsis Introduction to Probability and Statistics, Second Edition, by : Giri

Download or read book Introduction to Probability and Statistics, Second Edition, written by Giri and published by CRC Press. This book was released on 1993-04-20 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit theorems - and provides an introduction to various types of statistical problems, covering the broad range of statistical inference.;Requiring a prerequisite in calculus for complete understanding of the topics discussed, the Second Edition contains new material on: univariate distributions; multivariate distributions; large-sample methods; decision theory; and applications of ANOVA.;A primary text for a year-long undergraduate course in statistics (but easily adapted for a one-semester course in probability only), Introduction to Probability and Statistics is for undergraduate students in a wide range of disciplines-statistics, probability, mathematics, social science, economics, engineering, agriculture, biometry, and education.

Introduction to Probability and Random Variables

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Publisher :
ISBN 13 :
Total Pages : 306 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Introduction to Probability and Random Variables by : George Proctor Wadsworth

Download or read book Introduction to Probability and Random Variables written by George Proctor Wadsworth and published by . This book was released on 1960 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Statistics and Data Analysis

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Publisher : Springer
ISBN 13 : 3319461621
Total Pages : 456 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Introduction to Statistics and Data Analysis by : Christian Heumann

Download or read book Introduction to Statistics and Data Analysis written by Christian Heumann and published by Springer. This book was released on 2017-01-26 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.