Book Description
This book provides a clear exposition of the theory of probability along with applications in statistics.
Author : B. L. S. Prakasa Rao
Publisher : World Scientific
Page : 330 pages
File Size : 43,22 MB
Release : 2009
Category : Mathematics
ISBN : 9812836535
This book provides a clear exposition of the theory of probability along with applications in statistics.
Author : Werner Linde
Publisher : Walter de Gruyter GmbH & Co KG
Page : 410 pages
File Size : 20,94 MB
Release : 2016-10-24
Category : Mathematics
ISBN : 3110466198
This book is intended as an introduction to Probability Theory and Mathematical Statistics for students in mathematics, the physical sciences, engineering, and related fields. It is based on the author’s 25 years of experience teaching probability and is squarely aimed at helping students overcome common difficulties in learning the subject. The focus of the book is an explanation of the theory, mainly by the use of many examples. Whenever possible, proofs of stated results are provided. All sections conclude with a short list of problems. The book also includes several optional sections on more advanced topics. This textbook would be ideal for use in a first course in Probability Theory. Contents: Probabilities Conditional Probabilities and Independence Random Variables and Their Distribution Operations on Random Variables Expected Value, Variance, and Covariance Normally Distributed Random Vectors Limit Theorems Mathematical Statistics Appendix Bibliography Index
Author : Joseph K. Blitzstein
Publisher : CRC Press
Page : 599 pages
File Size : 48,27 MB
Release : 2014-07-24
Category : Mathematics
ISBN : 1466575573
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.
Author : Peggy Tang Strait
Publisher : Harcourt College Pub
Page : 599 pages
File Size : 23,93 MB
Release : 1989
Category : Mathematics
ISBN : 9780155275232
Author : Sheldon M. Ross
Publisher :
Page : 536 pages
File Size : 12,55 MB
Release : 2002
Category : Mathematics
ISBN :
P. 15.
Author : Barry C. Arnold
Publisher : SIAM
Page : 291 pages
File Size : 30,68 MB
Release : 2008-09-25
Category : Mathematics
ISBN : 0898716489
This updated classic text will aid readers in understanding much of the current literature on order statistics: a flourishing field of study that is essential for any practising statistician and a vital part of the training for students in statistics. Written in a simple style that requires no advanced mathematical or statistical background, the book introduces the general theory of order statistics and their applications. The book covers topics such as distribution theory for order statistics from continuous and discrete populations, moment relations, bounds and approximations, order statistics in statistical inference and characterisation results, and basic asymptotic theory. There is also a short introduction to record values and related statistics. The authors have updated the text with suggestions for further reading that may be used for self-study. Written for advanced undergraduate and graduate students in statistics and mathematics, practising statisticians, engineers, climatologists, economists, and biologists.
Author : F.M. Dekking
Publisher : Springer Science & Business Media
Page : 485 pages
File Size : 49,57 MB
Release : 2006-03-30
Category : Mathematics
ISBN : 1846281687
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
Author : Anirban DasGupta
Publisher : Springer Science & Business Media
Page : 457 pages
File Size : 33,44 MB
Release : 2010-04-02
Category : Mathematics
ISBN : 1441957804
Probability theory is one branch of mathematics that is simultaneously deep and immediately applicable in diverse areas of human endeavor. It is as fundamental as calculus. Calculus explains the external world, and probability theory helps predict a lot of it. In addition, problems in probability theory have an innate appeal, and the answers are often structured and strikingly beautiful. A solid background in probability theory and probability models will become increasingly more useful in the twenty-?rst century, as dif?cult new problems emerge, that will require more sophisticated models and analysis. Thisisa text onthe fundamentalsof thetheoryofprobabilityat anundergraduate or ?rst-year graduate level for students in science, engineering,and economics. The only mathematical background required is knowledge of univariate and multiva- ate calculus and basic linear algebra. The book covers all of the standard topics in basic probability, such as combinatorial probability, discrete and continuous distributions, moment generating functions, fundamental probability inequalities, the central limit theorem, and joint and conditional distributions of discrete and continuous random variables. But it also has some unique features and a forwa- looking feel.
Author : Sheldon M. Ross
Publisher : Academic Press
Page : 841 pages
File Size : 15,6 MB
Release : 2010-01-19
Category : Mathematics
ISBN : 0080922104
Introductory Statistics, Third Edition, presents statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also to understand why these procedures should be used. This book offers a unique historical perspective, profiling prominent statisticians and historical events in order to motivate learning. To help guide students towards independent learning, exercises and examples using real issues and real data (e.g., stock price models, health issues, gender issues, sports, scientific fraud) are provided. The chapters end with detailed reviews of important concepts and formulas, key terms, and definitions that are useful study tools. Data sets from text and exercise material are available for download in the text website. This text is designed for introductory non-calculus based statistics courses that are offered by mathematics and/or statistics departments to undergraduate students taking a semester course in basic Statistics or a year course in Probability and Statistics. - Unique historical perspective profiling prominent statisticians and historical events to motivate learning by providing interest and context - Use of exercises and examples helps guide the student towards indpendent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, scientific fraud. - Summary/Key Terms- chapters end with detailed reviews of important concepts and formulas, key terms and definitions which are useful to students as study tools
Author : Charles J. Stone
Publisher : Duxbury Resource Center
Page : 858 pages
File Size : 11,40 MB
Release : 1996
Category : Mathematics
ISBN :
This author's modern approach is intended primarily for honors undergraduates or undergraduates with a good math background taking a mathematical statistics or statistical inference course. The author takes a finite-dimensional functional modeling viewpoint (in contrast to the conventional parametric approach) to strengthen the connection between statistical theory and statistical methodology.