A First Course in Probability


Author: Sheldon Ross
Publisher: Pearson
ISBN: 0321926676
Category: Mathematics
Page: N.A
View: 5915
DOWNLOAD NOW »
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

A First Course in Probability


Author: Sheldon M. Ross
Publisher: Pearson College Division
ISBN: 9780321794772
Category: Mathematics
Page: 467
View: 7804
DOWNLOAD NOW »
A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

A First Course in Probability


Author: Sheldon Ross
Publisher: N.A
ISBN: 9781292024929
Category: Probabilities
Page: 464
View: 8103
DOWNLOAD NOW »
A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

A First Course in Probability and Markov Chains


Author: Giuseppe Modica,Laura Poggiolini
Publisher: John Wiley & Sons
ISBN: 111847774X
Category: Mathematics
Page: 352
View: 476
DOWNLOAD NOW »
Provides an introduction to basic structures of probability with a view towards applications in information technology A First Course in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas. The first part explores notions and structures in probability, including combinatorics, probability measures, probability distributions, conditional probability, inclusion-exclusion formulas, random variables, dispersion indexes, independent random variables as well as weak and strong laws of large numbers and central limit theorem. In the second part of the book, focus is given to Discrete Time Discrete Markov Chains which is addressed together with an introduction to Poisson processes and Continuous Time Discrete Markov Chains. This book also looks at making use of measure theory notations that unify all the presentation, in particular avoiding the separate treatment of continuous and discrete distributions. A First Course in Probability and Markov Chains: Presents the basic elements of probability. Explores elementary probability with combinatorics, uniform probability, the inclusion-exclusion principle, independence and convergence of random variables. Features applications of Law of Large Numbers. Introduces Bernoulli and Poisson processes as well as discrete and continuous time Markov Chains with discrete states. Includes illustrations and examples throughout, along with solutions to problems featured in this book. The authors present a unified and comprehensive overview of probability and Markov Chains aimed at educating engineers working with probability and statistics as well as advanced undergraduate students in sciences and engineering with a basic background in mathematical analysis and linear algebra.

First Course in Probability, A: Pearson New International Edition


Author: Sheldon Ross
Publisher: Pearson Higher Ed
ISBN: 1292037563
Category: Mathematics
Page: 464
View: 8935
DOWNLOAD NOW »
A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

A First Course in Probability


Author: Tapas K. Chandra,Dipak Chatterjee
Publisher: Alpha Science Int'l Ltd.
ISBN: 9781842652084
Category: Business & Economics
Page: 494
View: 4152
DOWNLOAD NOW »
Covers topics such as transformation, convergence and multivariate analysis. This book offers a feature that resolve many confusions of probability and statistics.

A First Course in Probability and Statistics


Author: B. L. S. Prakasa Rao
Publisher: World Scientific
ISBN: 9812836535
Category: Mathematics
Page: 317
View: 3877
DOWNLOAD NOW »
This book provides a clear exposition of the theory of probability along with applications in statistics.

Probability Theory

A First Course in Probability Theory and Statistics
Author: Werner Linde
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110466198
Category: Mathematics
Page: 409
View: 5804
DOWNLOAD NOW »
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

Fundamentals of Probability: A First Course


Author: Anirban DasGupta
Publisher: Springer Science & Business Media
ISBN: 1441957804
Category: Mathematics
Page: 450
View: 4886
DOWNLOAD NOW »
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.

Introduction to Probability Models


Author: Sheldon M. Ross
Publisher: Elsevier
ISBN: 1483276589
Category: Mathematics
Page: 568
View: 611
DOWNLOAD NOW »
Introduction to Probability Models, Fifth Edition focuses on different probability models of natural phenomena. This edition includes additional material in Chapters 5 and 10, such as examples relating to analyzing algorithms, minimizing highway encounters, collecting coupons, and tracking the AIDS virus. The arbitrage theorem and its relationship to the duality theorem of linear program are also covered, as well as how the arbitrage theorem leads to the Black-Scholes option pricing formula. Other topics include the Bernoulli random variable, Chapman-Kolmogorov equations, and properties of the exponential distribution. The continuous-time Markov chains, single-server exponential queueing system, variations on Brownian motion; and variance reduction by conditioning are also elaborated. This book is a good reference for students and researchers conducting work on probability models.

A first course in probability


Author: Sheldon M. Ross
Publisher: Macmillan College
ISBN: N.A
Category: Mathematics
Page: 422
View: 9946
DOWNLOAD NOW »


Probability and random processes

a first course with applications
Author: A. Bruce Clarke,Ralph L. Disney
Publisher: Wiley
ISBN: N.A
Category: Mathematics
Page: 324
View: 9570
DOWNLOAD NOW »
A comprehensive textbook for undergraduate courses in introductory probability. Offers a case study approach, with examples from engineering and the social and life sciences. Updated second edition includes advanced material on stochastic processes. Suitable for junior and senior level courses in industrial engineering, mathematics, business, biology, and social science departments.

First Course in Probability


Author: A. K. Sharma
Publisher: Discovery Publishing House
ISBN: 9788183564502
Category: Combinatorial probabilities
Page: 296
View: 1732
DOWNLOAD NOW »


Introductory Statistics


Author: Sheldon M. Ross
Publisher: Academic Press
ISBN: 012804361X
Category: Mathematics
Page: 828
View: 6263
DOWNLOAD NOW »
Introductory Statistics, Fourth Edition, reviews statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also how to understand why these procedures should be used. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, an explanation of intuition, and the ideas behind the statistical methods. Concepts are motivated, illustrated, and explained in a way that attempts to increase one's intuition. To quote from the preface, it is only when a student develops a feel or intuition for statistics that she or he is really on the path toward making sense of data. Ross achieves this goal through a coherent mix of mathematical analysis, intuitive discussions, and examples. Applications and examples refer to real-world issues, such as gun control, stock price models, health issues, driving age limits, school admission ages, use of helmets, sports, scientific fraud, and many others. Examples relating to data mining techniques using the number of Google queries or Twitter tweets are also considered. For this fourth edition, new topical coverage includes sections on Pareto distribution and the 80-20 rule, Benford's law, added material on odds and joint distributions and correlation, logistic regression, A-B testing, and more modern (big data) examples and exercises. Includes new section on Pareto distribution and the 80-20 rule, Benford’s law, odds, joint distribution and correlation, logistic regression, A-B testing, and examples from the world of analytics and big data Comprehensive edition that includes the most commonly used statistical software packages (SAS, SPSS, Minitab), ISM, SSM, and an online graphing calculator manual Presents a unique, historical perspective, profiling prominent statisticians and historical events to motivate learning by including interest and context Provides exercises and examples that help guide the student towards indpendent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, and scientific fraud

An Intermediate Course in Probability


Author: Allan Gut
Publisher: Springer Science & Business Media
ISBN: 1441901620
Category: Mathematics
Page: 303
View: 5047
DOWNLOAD NOW »
This is the only book that gives a rigorous and comprehensive treatment with lots of examples, exercises, remarks on this particular level between the standard first undergraduate course and the first graduate course based on measure theory. There is no competitor to this book. The book can be used in classrooms as well as for self-study.

A Second Course in Probability


Author: Sheldon M. Ross,Erol A. Peköz
Publisher: Pekozbooks
ISBN: 9780979570407
Category: Mathematics
Page: 210
View: 4437
DOWNLOAD NOW »
Written for undergraduate and graduate students in statistics, mathematics, engineering, finance, and actuarial science, this guided tour discusses advanced topics in probability including measure theory, limit theorems, bounding probabilities and expectations, coupling and Steins method, martingales, Markov chains, renewal theory, and Brownian motion. (Mathematics)

A Course in Probability Theory


Author: Kai Lai Chung
Publisher: Academic Press
ISBN: 0080570402
Category: Mathematics
Page: 365
View: 6558
DOWNLOAD NOW »
This book contains about 500 exercises consisting mostly of special cases and examples, second thoughts and alternative arguments, natural extensions, and some novel departures. With a few obvious exceptions they are neither profound nor trivial, and hints and comments are appended to many of them. If they tend to be somewhat inbred, at least they are relevant to the text and should help in its digestion. As a bold venture I have marked a few of them with a * to indicate a "must", although no rigid standard of selection has been used. Some of these are needed in the book, but in any case the reader's study of the text will be more complete after he has tried at least those problems.