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Author : John Robert DIXON
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (558 download)
Download or read book A Programmed Introduction to Probability written by John Robert DIXON and published by . This book was released on 1964 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : John R. Dixon
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (258 download)
Download or read book A programmed introduction to probability written by John R. Dixon and published by . This book was released on 1967 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : John E. Freund
Publisher : Courier Corporation
ISBN 13 : 0486158438
Total Pages : 247 pages
Book Rating : 4.4/5 (861 download)
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.
Author : David F. Anderson
Publisher : Cambridge University Press
ISBN 13 : 110824498X
Total Pages : 447 pages
Book Rating : 4.1/5 (82 download)
Download or read book Introduction to Probability written by David F. Anderson and published by Cambridge University Press. This book was released on 2017-11-02 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.
Author : Joseph K. Blitzstein
Publisher : CRC Press
ISBN 13 : 1466575573
Total Pages : 599 pages
Book Rating : 4.4/5 (665 download)
Download or read book Introduction to Probability written by Joseph K. Blitzstein and published by CRC Press. This book was released on 2014-07-24 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Frederic C. Barnett
Publisher :
ISBN 13 :
Total Pages : 451 pages
Book Rating : 4.:/5 (192 download)
Download or read book A Programmed Study Guide for Introduction to Probability and Statistics written by Frederic C. Barnett and published by . This book was released on 1967 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Boyd Earl
Publisher :
ISBN 13 :
Total Pages : 280 pages
Book Rating : 4.:/5 (319 download)
Download or read book Introduction to Probability written by Boyd Earl and published by . This book was released on 1963 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Frederic Barnett
Publisher :
ISBN 13 :
Total Pages : 451 pages
Book Rating : 4.:/5 (633 download)
Download or read book A programmed stduy guide for introduction to probability and statistics written by Frederic Barnett and published by . This book was released on 1968 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Freeman F. Elzey
Publisher :
ISBN 13 :
Total Pages : 376 pages
Book Rating : 4.:/5 (311 download)
Download or read book A Programmed Introduction to Statistics written by Freeman F. Elzey and published by . This book was released on 1969 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : James Lawrence Fejfar
Publisher :
ISBN 13 :
Total Pages : 386 pages
Book Rating : 4.:/5 (31 download)
Download or read book An Introduction to Probability written by James Lawrence Fejfar and published by . This book was released on 1962 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dieter Stempell
Publisher :
ISBN 13 :
Total Pages : 168 pages
Book Rating : 4.:/5 (753 download)
Download or read book A Programmed Introduction to the Theory of Probability written by Dieter Stempell and published by . This book was released on 1973 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sheldon M. Ross
Publisher : Academic Press
ISBN 13 : 1483269094
Total Pages : 179 pages
Book Rating : 4.4/5 (832 download)
Download or read book Introduction to Stochastic Dynamic Programming written by Sheldon M. Ross and published by Academic Press. This book was released on 2014-07-10 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Stochastic Dynamic Programming presents the basic theory and examines the scope of applications of stochastic dynamic programming. The book begins with a chapter on various finite-stage models, illustrating the wide range of applications of stochastic dynamic programming. Subsequent chapters study infinite-stage models: discounting future returns, minimizing nonnegative costs, maximizing nonnegative returns, and maximizing the long-run average return. Each of these chapters first considers whether an optimal policy need exist—providing counterexamples where appropriate—and then presents methods for obtaining such policies when they do. In addition, general areas of application are presented. The final two chapters are concerned with more specialized models. These include stochastic scheduling models and a type of process known as a multiproject bandit. The mathematical prerequisites for this text are relatively few. No prior knowledge of dynamic programming is assumed and only a moderate familiarity with probability— including the use of conditional expectation—is necessary.
Author : Stanley H. Chan
Publisher : Michigan Publishing Services
ISBN 13 : 9781607857464
Total Pages : 0 pages
Book Rating : 4.8/5 (574 download)
Download or read book Introduction to Probability for Data Science written by Stanley H. Chan and published by Michigan Publishing Services. This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Probability is one of the most interesting subjects in electrical engineering and computer science. It bridges our favorite engineering principles to the practical reality, a world that is full of uncertainty. However, because probability is such a mature subject, the undergraduate textbooks alone might fill several rows of shelves in a library. When the literature is so rich, the challenge becomes how one can pierce through to the insight while diving into the details. For example, many of you have used a normal random variable before, but have you ever wondered where the 'bell shape' comes from? Every probability class will teach you about flipping a coin, but how can 'flipping a coin' ever be useful in machine learning today? Data scientists use the Poisson random variables to model the internet traffic, but where does the gorgeous Poisson equation come from? This book is designed to fill these gaps with knowledge that is essential to all data science students." -- Preface.
Author : Garrett Eckbo
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (959 download)
Download or read book Introduction to Probability written by Garrett Eckbo and published by . This book was released on 1963 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bryan Earl
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (141 download)
Download or read book Introduction to Probability: a Programmed Unit in Modern Mathematics written by Bryan Earl and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Frederic Barnett
Publisher :
ISBN 13 :
Total Pages : 451 pages
Book Rating : 4.:/5 (552 download)
Download or read book A Programmed Study Guide for Introduction to Probability and Statistics, Second Edition, by William Mendenhall written by Frederic Barnett and published by . This book was released on 1967 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kenneth Baclawski
Publisher : CRC Press
ISBN 13 : 9781420065220
Total Pages : 384 pages
Book Rating : 4.0/5 (652 download)
Download or read book Introduction to Probability with R written by Kenneth Baclawski and published by CRC Press. This book was released on 2008-01-24 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on a popular course taught by the late Gian-Carlo Rota of MIT, with many new topics covered as well, Introduction to Probability with R presents R programs and animations to provide an intuitive yet rigorous understanding of how to model natural phenomena from a probabilistic point of view. Although the R programs are small in length, they are just as sophisticated and powerful as longer programs in other languages. This brevity makes it easy for students to become proficient in R. This calculus-based introduction organizes the material around key themes. One of the most important themes centers on viewing probability as a way to look at the world, helping students think and reason probabilistically. The text also shows how to combine and link stochastic processes to form more complex processes that are better models of natural phenomena. In addition, it presents a unified treatment of transforms, such as Laplace, Fourier, and z; the foundations of fundamental stochastic processes using entropy and information; and an introduction to Markov chains from various viewpoints. Each chapter includes a short biographical note about a contributor to probability theory, exercises, and selected answers. The book has an accompanying website with more information.
