Introduction to Probability

Introduction to Probability
Author: Joseph K. Blitzstein,Jessica Hwang
Publsiher: CRC Press
Total Pages: 596
Release: 2014-07-24
ISBN 10: 1466575573
ISBN 13: 9781466575578
Language: EN, FR, DE, ES & NL

Introduction to Probability Book Review:

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.

Introduction to Probability

Introduction to Probability
Author: Dimitri P. Bertsekas,John N. Tsitsiklis
Publsiher: Unknown
Total Pages: 416
Release: 2002
ISBN 10: 1928374650XXX
ISBN 13: UOM:39015066809040
Language: EN, FR, DE, ES & NL

Introduction to Probability Book Review:

Introduction to Probability Statistics and Random Processes

Introduction to Probability  Statistics  and Random Processes
Author: Hossein Pishro-Nik
Publsiher: Unknown
Total Pages: 746
Release: 2014-08-15
ISBN 10: 9780990637202
ISBN 13: 0990637204
Language: EN, FR, DE, ES & NL

Introduction to Probability Statistics and Random Processes Book Review:

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

Introduction to Probability
Author: Dimitri P. Bertsekas,John N. Tsitsiklis
Publsiher: Athena Scientific
Total Pages: 544
Release: 2008-07-01
ISBN 10: 188652923X
ISBN 13: 9781886529236
Language: EN, FR, DE, ES & NL

Introduction to Probability Book Review:

An intuitive, yet precise introduction to probability theory, stochastic processes, statistical inference, and probabilistic models used in science, engineering, economics, and related fields. This is the currently used textbook for an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students, and for a leading online class on the subject. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains a number of more advanced topics, including transforms, sums of random variables, a fairly detailed introduction to Bernoulli, Poisson, and Markov processes, Bayesian inference, and an introduction to classical statistics. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis is explained intuitively in the main text, and then developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems.

Introduction to Probability

Introduction to Probability
Author: Charles Miller Grinstead,James Laurie Snell
Publsiher: American Mathematical Soc.
Total Pages: 510
Release: 2012-10
ISBN 10: 0821894145
ISBN 13: 9780821894149
Language: EN, FR, DE, ES & NL

Introduction to Probability Book Review:

This text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of ideas and techniques necessary for a firm understanding of the subject. The text is also recommended for use in discrete probability courses. The material is organized so that the discrete and continuous probability discussions are presented in a separate, but parallel, manner. This organization does not emphasize an overly rigorous or formal view of probability and therefore offers some strong pedagogical value. Hence, the discrete discussions can sometimes serve to motivate the more abstract continuous probability discussions. Features: Key ideas are developed in a somewhat leisurely style, providing a variety of interesting applications to probability and showing some nonintuitive ideas. Over 600 exercises provide the opportunity for practicing skills and developing a sound understanding of ideas. Numerous historical comments deal with the development of discrete probability. The text includes many computer programs that illustrate the algorithms or the methods of computation for important problems. The book is a beautiful introduction to probability theory at the beginning level. The book contains a lot of examples and an easy development of theory without any sacrifice of rigor, keeping the abstraction to a minimal level. It is indeed a valuable addition to the study of probability theory. --Zentralblatt MATH

Introduction to Probability with R

Introduction to Probability with R
Author: Kenneth Baclawski
Publsiher: CRC Press
Total Pages: 384
Release: 2008-01-24
ISBN 10: 9781420065220
ISBN 13: 142006522X
Language: EN, FR, DE, ES & NL

Introduction to Probability with R Book Review:

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.

Introduction to Probability

Introduction to Probability
Author: John E. Freund
Publsiher: Courier Corporation
Total Pages: 247
Release: 1973
ISBN 10: 0486675491
ISBN 13: 9780486675497
Language: EN, FR, DE, ES & NL

Introduction to Probability Book Review:

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.

A Modern Introduction to Probability and Statistics

A Modern Introduction to Probability and Statistics
Author: F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester
Publsiher: Springer Science & Business Media
Total Pages: 488
Release: 2006-03-30
ISBN 10: 1846281687
ISBN 13: 9781846281686
Language: EN, FR, DE, ES & NL

A Modern Introduction to Probability and Statistics Book Review:

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

Introduction to Probability Second Edition

Introduction to Probability  Second Edition
Author: Joseph K. Blitzstein,Jessica Hwang
Publsiher: CRC Press
Total Pages: 620
Release: 2019-02-08
ISBN 10: 0429766742
ISBN 13: 9780429766749
Language: EN, FR, DE, ES & NL

Introduction to Probability Second Edition Book Review:

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 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. The second edition adds many new examples, exercises, and explanations, to deepen understanding of the ideas, clarify subtle concepts, and respond to feedback from many students and readers. New supplementary online resources have been developed, including animations and interactive visualizations, and the book has been updated to dovetail with these resources. Supplementary material is available on Joseph Blitzstein’s website www. stat110.net. The supplements include: Solutions to selected exercises Additional practice problems Handouts including review material and sample exams Animations and interactive visualizations created in connection with the edX online version of Stat 110. Links to lecture videos available on ITunes U and YouTube There is also a complete instructor's solutions manual available to instructors who require the book for a course.

Introduction to Probability

Introduction to Probability
Author: George G. Roussas
Publsiher: Academic Press
Total Pages: 546
Release: 2013-11-27
ISBN 10: 0128001984
ISBN 13: 9780128001981
Language: EN, FR, DE, ES & NL

Introduction to Probability Book Review:

Introduction to Probability, Second Edition, discusses probability theory in a mathematically rigorous, yet accessible way. This one-semester basic probability textbook explains important concepts of probability while providing useful exercises and examples of real world applications for students to consider. This edition demonstrates the applicability of probability to many human activities with examples and illustrations. After introducing fundamental probability concepts, the book proceeds to topics including conditional probability and independence; numerical characteristics of a random variable; special distributions; joint probability density function of two random variables and related quantities; joint moment generating function, covariance and correlation coefficient of two random variables; transformation of random variables; the Weak Law of Large Numbers; the Central Limit Theorem; and statistical inference. Each section provides relevant proofs, followed by exercises and useful hints. Answers to even-numbered exercises are given and detailed answers to all exercises are available to instructors on the book companion site. This book will be of interest to upper level undergraduate students and graduate level students in statistics, mathematics, engineering, computer science, operations research, actuarial science, biological sciences, economics, physics, and some of the social sciences. Demonstrates the applicability of probability to many human activities with examples and illustrations Discusses probability theory in a mathematically rigorous, yet accessible way Each section provides relevant proofs, and is followed by exercises and useful hints Answers to even-numbered exercises are provided and detailed answers to all exercises are available to instructors on the book companion site

Introduction to Probability Models

Introduction to Probability Models
Author: Sheldon M. Ross
Publsiher: Academic Press
Total Pages: 800
Release: 2006-12-11
ISBN 10: 9780123756879
ISBN 13: 0123756871
Language: EN, FR, DE, ES & NL

Introduction to Probability Models Book Review:

Introduction to Probability Models, Tenth Edition, provides an introduction to elementary probability theory and stochastic processes. There are two approaches to the study of probability theory. One is heuristic and nonrigorous, and attempts to develop in students an intuitive feel for the subject that enables him or her to think probabilistically. The other approach attempts a rigorous development of probability by using the tools of measure theory. The first approach is employed in this text. The book begins by introducing basic concepts of probability theory, such as the random variable, conditional probability, and conditional expectation. This is followed by discussions of stochastic processes, including Markov chains and Poison processes. The remaining chapters cover queuing, reliability theory, Brownian motion, and simulation. Many examples are worked out throughout the text, along with exercises to be solved by students. This book will be particularly useful to those interested in learning how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. Ideally, this text would be used in a one-year course in probability models, or a one-semester course in introductory probability theory or a course in elementary stochastic processes. New to this Edition: 65% new chapter material including coverage of finite capacity queues, insurance risk models and Markov chains Contains compulsory material for new Exam 3 of the Society of Actuaries containing several sections in the new exams Updated data, and a list of commonly used notations and equations, a robust ancillary package, including a ISM, SSM, and test bank Includes SPSS PASW Modeler and SAS JMP software packages which are widely used in the field Hallmark features: Superior writing style Excellent exercises and examples covering the wide breadth of coverage of probability topics Real-world applications in engineering, science, business and economics

Introduction to Probability

Introduction to Probability
Author: Narayanaswamy Balakrishnan,Markos V. Koutras,Konstadinos G. Politis
Publsiher: John Wiley & Sons
Total Pages: 704
Release: 2021-11-24
ISBN 10: 1118548558
ISBN 13: 9781118548554
Language: EN, FR, DE, ES & NL

Introduction to Probability Book Review:

INTRODUCTION TO PROBABILITY Discover practical models and real-world applications of multivariate models useful in engineering, business, and related disciplines In Introduction to Probability: Multivariate Models and Applications, a team of distinguished researchers delivers a comprehensive exploration of the concepts, methods, and results in multivariate distributions and models. Intended for use in a second course in probability, the material is largely self-contained, with some knowledge of basic probability theory and univariate distributions as the only prerequisite. This textbook is intended as the sequel to Introduction to Probability: Models and Applications. Each chapter begins with a brief historical account of some of the pioneers in probability who made significant contributions to the field. It goes on to describe and explain a critical concept or method in multivariate models and closes with two collections of exercises designed to test basic and advanced understanding of the theory. A wide range of topics are covered, including joint distributions for two or more random variables, independence of two or more variables, transformations of variables, covariance and correlation, a presentation of the most important multivariate distributions, generating functions and limit theorems. This important text: Includes classroom-tested problems and solutions to probability exercises Highlights real-world exercises designed to make clear the concepts presented Uses Mathematica software to illustrate the text’s computer exercises Features applications representing worldwide situations and processes Offers two types of self-assessment exercises at the end of each chapter, so that students may review the material in that chapter and monitor their progress Perfect for students majoring in statistics, engineering, business, psychology, operations research and mathematics taking a second course in probability, Introduction to Probability: Multivariate Models and Applications is also an indispensable resource for anyone who is required to use multivariate distributions to model the uncertainty associated with random phenomena.

An Introduction to Probability and Statistics Using Basic

An Introduction to Probability and Statistics Using Basic
Author: Richard A. Groeneveld
Publsiher: CRC Press
Total Pages: 464
Release: 2020-09-24
ISBN 10: 1000146278
ISBN 13: 9781000146271
Language: EN, FR, DE, ES & NL

An Introduction to Probability and Statistics Using Basic Book Review:

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 for Engineers and Scientists

Introduction to Probability and Statistics for Engineers and Scientists
Author: Sheldon M. Ross
Publsiher: Academic Press
Total Pages: 704
Release: 2020-09-11
ISBN 10: 0128177470
ISBN 13: 9780128177471
Language: EN, FR, DE, ES & NL

Introduction to Probability and Statistics for Engineers and Scientists Book Review:

Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical procedures commonly used by practicing engineers and scientists. Utilizing real data from actual studies across life science, engineering, computing and business, this useful introduction supports reader comprehension through a wide variety of exercises and examples. End-of-chapter reviews of materials highlight key ideas, also discussing the risks associated with the practical application of each material. In the new edition, coverage includes information on Big Data and the use of R. This book is intended for upper level undergraduate and graduate students taking a probability and statistics course in engineering programs as well as those across the biological, physical and computer science departments. It is also appropriate for scientists, engineers and other professionals seeking a reference of foundational content and application to these fields. Provides the author’s uniquely accessible and engaging approach as tailored for the needs of Engineers and Scientists Features examples that use significant real data from actual studies across life science, engineering, computing and business Includes new coverage to support the use of R Offers new chapters on big data techniques

Introduction to Probability for Data Science

Introduction to Probability for Data Science
Author: Stanley Chan
Publsiher: Unknown
Total Pages: 709
Release: 2021-09-30
ISBN 10: 9781607857464
ISBN 13: 1607857464
Language: EN, FR, DE, ES & NL

Introduction to Probability for Data Science Book Review:

Introduction to Probability Models

Introduction to Probability Models
Author: Sheldon M. Ross
Publsiher: Academic Press
Total Pages: 782
Release: 2007
ISBN 10: 0125980620
ISBN 13: 9780125980623
Language: EN, FR, DE, ES & NL

Introduction to Probability Models Book Review:

Rosss classic bestseller has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries.

An Elementary Introduction to the Theory of Probability

An Elementary Introduction to the Theory of Probability
Author: Boris Vladimirovich Gnedenko,Aleksandr I?Akovlevich Khinchin
Publsiher: Courier Corporation
Total Pages: 130
Release: 1962
ISBN 10: 0486601552
ISBN 13: 9780486601557
Language: EN, FR, DE, ES & NL

An Elementary Introduction to the Theory of Probability Book Review:

This compact volume equips the reader with all the facts and principles essential to a fundamental understanding of the theory of probability. It is an introduction, no more: throughout the book the authors discuss the theory of probability for situations having only a finite number of possibilities, and the mathematics employed is held to the elementary level. But within its purposely restricted range it is extremely thorough, well organized, and absolutely authoritative. It is the only English translation of the latest revised Russian edition; and it is the only current translation on the market that has been checked and approved by Gnedenko himself. After explaining in simple terms the meaning of the concept of probability and the means by which an event is declared to be in practice, impossible, the authors take up the processes involved in the calculation of probabilities. They survey the rules for addition and multiplication of probabilities, the concept of conditional probability, the formula for total probability, Bayes's formula, Bernoulli's scheme and theorem, the concepts of random variables, insufficiency of the mean value for the characterization of a random variable, methods of measuring the variance of a random variable, theorems on the standard deviation, the Chebyshev inequality, normal laws of distribution, distribution curves, properties of normal distribution curves, and related topics. The book is unique in that, while there are several high school and college textbooks available on this subject, there is no other popular treatment for the layman that contains quite the same material presented with the same degree of clarity and authenticity. Anyone who desires a fundamental grasp of this increasingly important subject cannot do better than to start with this book. New preface for Dover edition by B. V. Gnedenko.

Introduction to Probability and Mathematical Statistics

Introduction to Probability and Mathematical Statistics
Author: Lee J. Bain,Max Engelhardt
Publsiher: Brooks/Cole
Total Pages: 565
Release: 1987
ISBN 10: 1928374650XXX
ISBN 13: STANFORD:36105032354883
Language: EN, FR, DE, ES & NL

Introduction to Probability and Mathematical Statistics Book Review:

Introduction to Probability

Introduction to Probability
Author: David F. Anderson,Timo Seppäläinen,Benedek Valkó
Publsiher: Cambridge University Press
Total Pages: 442
Release: 2017-11-02
ISBN 10: 9781108415859
ISBN 13: 1108415857
Language: EN, FR, DE, ES & NL

Introduction to Probability Book Review:

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.

Introduction to Counting and Probability

Introduction to Counting and Probability
Author: David Patrick
Publsiher: Unknown
Total Pages: 256
Release: 2005-11-01
ISBN 10: 9780977304509
ISBN 13: 0977304507
Language: EN, FR, DE, ES & NL

Introduction to Counting and Probability Book Review: