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ISBN: OCLC:784406485

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Ross

Ross

The 10th Edition includes many new and updated problems, exercises, and text material chosen both for inherent interest and for use in building student intuition about probability.

Author: SHELDON. ROSS

Publisher:

ISBN: 1292269200

Category:

Page: 528

View: 784

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States. For upper-level to graduate courses in Probability or Probability and Statistics, for majors in mathematics, statistics, engineering, and the sciences. Explores both the mathematics and the many potential applications of probability theory A First Course in Probability offers an elementary introduction to the theory of probability for students in mathematics, statistics, engineering, and the sciences. Through clear and intuitive explanations, it attempts to present not only the mathematics of probability theory, but also the many diverse possible applications of this subject through numerous examples. The 10th Edition includes many new and updated problems, exercises, and text material chosen both for inherent interest and for use in building student intuition about probability.
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First Course in Probability A Pearson New International Edition PDF eBook

First Course in Probability  A  Pearson New International Edition PDF eBook

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.

Author: Sheldon Ross

Publisher: Pearson Higher Ed

ISBN: 9781292037561

Category: Mathematics

Page: 459

View: 441

A First Course in Probability, 9th 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. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Categories: Mathematics

A First Course in Probability

A First Course in Probability

[ 3 ] Ross , S. M. Introduction to Probability Models , 9th ed . San Diego : Academic Press , Inc. , 2007 . [ 4 ] Ross , S. M. Stochastic Processes , 2d ed . New York : John Wiley & Sons , Inc. , 1996 .

Author: Sheldon M. Ross

Publisher: Prentice Hall

ISBN: UCSD:31822037229853

Category: Probabilities

Page: 560

View: 296

This title features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications.
Categories: Probabilities

Probability Theory

Probability Theory

A First Course in Probability Theory and Statistics Werner Linde ... Springer International Publishing, Cham Heidelberg, New York, Dordrecht, London, 3rd edition, 2015. ... Pearson Education Limited, Essex, 9th edition, 2014.

Author: Werner Linde

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 9783110466195

Category: Mathematics

Page: 410

View: 105

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
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Probability and Statistics by Example

Probability and Statistics by Example

A First Course in Probability. 9th ed. Upper Saddle River, NJ: Pearson Education, Inc., 2014. S.M. Ross. Probability Models for Computer Science. San Diego, CA and London: Harcourt Academic Press, 2002. V.K. Rothagi and S.M. Ehsanes.

Author: Yuri Suhov

Publisher: Cambridge University Press

ISBN: 9781107603585

Category: Mathematics

Page: 477

View: 341

A valuable resource for students and teachers alike, this second edition contains more than 200 worked examples and exam questions.
Categories: Mathematics

Probability and Statistics by Example Volume 1 Basic Probability and Statistics

Probability and Statistics by Example  Volume 1  Basic Probability and Statistics

A First Course in Probability. 9th ed. Upper Saddle River, NJ: Pearson Education, Inc., 2014. S.M. Ross. Probability Models for Computer Science. San Diego, CA and London: Harcourt Academic Press, 2002. V.K. Rothagi and S.M. Ehsanes.

Author: Yuri Suhov

Publisher: Cambridge University Press

ISBN: 9781316062203

Category: Mathematics

Page:

View: 905

Probability and statistics are as much about intuition and problem solving as they are about theorem proving. Consequently, students can find it very difficult to make a successful transition from lectures to examinations to practice because the problems involved can vary so much in nature. Since the subject is critical in so many applications from insurance to telecommunications to bioinformatics, the authors have collected more than 200 worked examples and examination questions with complete solutions to help students develop a deep understanding of the subject rather than a superficial knowledge of sophisticated theories. With amusing stories and historical asides sprinkled throughout, this enjoyable book will leave students better equipped to solve problems in practice and under exam conditions.
Categories: Mathematics

The Probability Lifesaver

The Probability Lifesaver

[Ro] S. Ross, A First course in Probability, 9th edition, Pearson, Essex, UK, 2014. [Rud] W. Rudin, Principles of Mathematical Analysis, 3rd edition, International Series in Pure and Applied Mathematics, McGraw-Hill, New York, 1976.

Author: Steven J. Miller

Publisher: Princeton University Press

ISBN: 9781400885381

Category: Mathematics

Page: 752

View: 524

The essential lifesaver for students who want to master probability For students learning probability, its numerous applications, techniques, and methods can seem intimidating and overwhelming. That's where The Probability Lifesaver steps in. Designed to serve as a complete stand-alone introduction to the subject or as a supplement for a course, this accessible and user-friendly study guide helps students comfortably navigate probability's terrain and achieve positive results. The Probability Lifesaver is based on a successful course that Steven Miller has taught at Brown University, Mount Holyoke College, and Williams College. With a relaxed and informal style, Miller presents the math with thorough reviews of prerequisite materials, worked-out problems of varying difficulty, and proofs. He explores a topic first to build intuition, and only after that does he dive into technical details. Coverage of topics is comprehensive, and materials are repeated for reinforcement—both in the guide and on the book's website. An appendix goes over proof techniques, and video lectures of the course are available online. Students using this book should have some familiarity with algebra and precalculus. The Probability Lifesaver not only enables students to survive probability but also to achieve mastery of the subject for use in future courses. A helpful introduction to probability or a perfect supplement for a course Numerous worked-out examples Lectures based on the chapters are available free online Intuition of problems emphasized first, then technical proofs given Appendixes review proof techniques Relaxed, conversational approach
Categories: Mathematics

A First Course in Probability Models and Statistical Inference

A First Course in Probability Models and Statistical Inference

Barrow, Lloyd H., and Morrisey, J. Thomas [1989] “Energy Literacy of Ninth-Grade Students: A Comparison Between Maine and New ... 2nd ed. Wiley, New York. Freedman, David, Pisani, Robert, and Purves, Roger [1980] Statistics. 1st ed.

Author: James H.C. Creighton

Publisher: Springer Science & Business Media

ISBN: 9781441985408

Category: Mathematics

Page: 719

View: 927

Welcome to new territory: A course in probability models and statistical inference. The concept of probability is not new to you of course. You've encountered it since childhood in games of chance-card games, for example, or games with dice or coins. And you know about the "90% chance of rain" from weather reports. But once you get beyond simple expressions of probability into more subtle analysis, it's new territory. And very foreign territory it is. You must have encountered reports of statistical results in voter sur veys, opinion polls, and other such studies, but how are conclusions from those studies obtained? How can you interview just a few voters the day before an election and still determine fairly closely how HUN DREDS of THOUSANDS of voters will vote? That's statistics. You'll find it very interesting during this first course to see how a properly designed statistical study can achieve so much knowledge from such drastically incomplete information. It really is possible-statistics works! But HOW does it work? By the end of this course you'll have understood that and much more. Welcome to the enchanted forest.
Categories: Mathematics

INFORMS Analytics Body of Knowledge

INFORMS Analytics Body of Knowledge

Nocedal J, Wright S (2006) Numerical Optimization, 2nd ed., Springer Series in Operations Research and Financial Engineering (Springer). Ross SM (2012) A First Course in Probability, 9th ed. (Pearson). Ross SM (1995) Stochastic ...

Author: James J. Cochran

Publisher: John Wiley & Sons

ISBN: 9781119505921

Category: Mathematics

Page: 394

View: 346

Standardizes the definition and framework of analytics ABOK stands for Analytics Body of Knowledge. Based on the authors’ definition of analytics—which is “a process by which a team of people helps an organization make better decisions (the objective) through the analysis of data (the activity)”— this book from Institute for Operations Research and the Management Sciences (INFORMS) represents the perspectives of some of the most respected experts on analytics. The INFORMS ABOK documents the core concepts and skills with which an analytics professional should be familiar; establishes a dynamic resource that will be used by practitioners to increase their understanding of analytics; and, presents instructors with a framework for developing academic courses and programs in analytics. The INFORMS ABOK offers in-depth insight from peer-reviewed chapters that provide readers with a better understanding of the dynamic field of analytics. Chapters cover: Introduction to Analytics; Getting Started with Analytics; The Analytics Team; The Data; Solution Methodology; Model Building; Machine Learning; Deployment and Life Cycle Management; and The Blossoming Analytics Talent Pool: An Overview of the Analytics Ecosystem. Across industries and academia, readers with various backgrounds in analytics – from novices who are interested in learning more about the basics of analytics to experienced professionals who want a different perspective on some aspect of analytics – will benefit from reading about and implementing the concepts and methods covered by the INFORMS ABOK.
Categories: Mathematics