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Author : Sheldon M. Ross
Publisher :
ISBN 13 : 9780125984584
Total Pages : 107 pages
Book Rating : 4.9/5 (845 download)
Download or read book Student's Solutions Manual to Accompany Introduction to Probability Models written by Sheldon M. Ross and published by . This book was released on 1993 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sheldon M. Ross
Publisher : Academic Press
ISBN 13 : 0123814367
Total Pages : 59 pages
Book Rating : 4.1/5 (238 download)
Download or read book Introduction to Probability Models, Student Solutions Manual (e-only) written by Sheldon M. Ross and published by Academic Press. This book was released on 2010-01-01 with total page 59 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Probability Models, Student Solutions Manual (e-only)
Author : Sheldon M. Ross
Publisher :
ISBN 13 : 9780125984577
Total Pages : 270 pages
Book Rating : 4.9/5 (845 download)
Download or read book Introduction to Probability Models written by Sheldon M. Ross and published by . This book was released on 1993 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sheldon M. Ross
Publisher : Academic Press
ISBN 13 : 0123756871
Total Pages : 801 pages
Book Rating : 4.1/5 (237 download)
Download or read book Introduction to Probability Models written by Sheldon M. Ross and published by Academic Press. This book was released on 2006-12-11 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Author : Harold Joseph Larson
Publisher :
ISBN 13 :
Total Pages : 181 pages
Book Rating : 4.:/5 (537 download)
Download or read book Solutions Manual to Accompany Introduction to Probability Theory and Statistical Inference, Third Edition written by Harold Joseph Larson and published by . This book was released on 1982 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : J. Susan Milton
Publisher : McGraw-Hill Science/Engineering/Math
ISBN 13 : 9780072468380
Total Pages : 0 pages
Book Rating : 4.4/5 (683 download)
Download or read book Student Solutions Manual to accompany Introduction to Probability and Statistics written by J. Susan Milton and published by McGraw-Hill Science/Engineering/Math. This book was released on 2002-10-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gives detailed solutions to odd numbers problems not appearing in the appendix of the main text.
Author : Sohail Munawar Khan
Publisher :
ISBN 13 : 9780176662752
Total Pages : 308 pages
Book Rating : 4.6/5 (627 download)
Download or read book Student Solutions Manual for Introduction to Probability and Statistics, 3ce written by Sohail Munawar Khan and published by . This book was released on 2013-05-03 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Student Solutions Manual provides students with fully worked-out solutions to the exercises with blue exercise numbers and headings in the text.
Author : Bhisham C. Gupta
Publisher : John Wiley & Sons
ISBN 13 : 1118464044
Total Pages : 896 pages
Book Rating : 4.1/5 (184 download)
Download or read book Statistics and Probability with Applications for Engineers and Scientists written by Bhisham C. Gupta and published by John Wiley & Sons. This book was released on 2013-04-29 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.
Author :
Publisher :
ISBN 13 : 9780072332445
Total Pages : 308 pages
Book Rating : 4.3/5 (324 download)
Download or read book Student Solutions Manual for Use with Introduction to Probability and Statistics written by and published by . This book was released on 2014 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Richard L. Scheaffer
Publisher : Brooks/Cole
ISBN 13 : 9780495829744
Total Pages : 0 pages
Book Rating : 4.8/5 (297 download)
Download or read book Student's Solutions Manual for Scheaffer/Young's Introduction to Probability and Its Applications, 3rd written by Richard L. Scheaffer and published by Brooks/Cole. This book was released on 2010-03-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get homework help with this manual, which contains fully-worked solutions to all odd-numbered exercises in the text.
Author : Sheldon M. Ross
Publisher :
ISBN 13 : 9787115565143
Total Pages : 826 pages
Book Rating : 4.5/5 (651 download)
Download or read book Introduction to Probability Models (Twelfth Edition) written by Sheldon M. Ross and published by . This book was released on 2021 with total page 826 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Barbara M. Beaver
Publisher :
ISBN 13 :
Total Pages : 572 pages
Book Rating : 4.0/5 ( download)
Download or read book Solutions Manual to Accompany Introduction to Probability and Statistics, 5th Ed written by Barbara M. Beaver and published by . This book was released on 1978 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Walter A. Rosenkrantz
Publisher :
ISBN 13 : 9780070539891
Total Pages : 253 pages
Book Rating : 4.5/5 (398 download)
Download or read book Instructor's Solutions Manual to Accompany Introduction to Probability and Statistics for Scientists and Engineers written by Walter A. Rosenkrantz and published by . This book was released on 1997 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Douglas C. Montgomery
Publisher : John Wiley & Sons
ISBN 13 : 1118548507
Total Pages : 112 pages
Book Rating : 4.1/5 (185 download)
Download or read book Solutions Manual to accompany Introduction to Linear Regression Analysis written by Douglas C. Montgomery and published by John Wiley & Sons. This book was released on 2013-04-23 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the Solutions Manual, this book is meant to accompany the main title, Introduction to Linear Regression Analysis, Fifth Edition. Clearly balancing theory with applications, this book describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research. Beginning with a general introduction to regression modeling, including typical applications, the book then outlines a host of technical tools that form the linear regression analytical arsenal, including: basic inference procedures and introductory aspects of model adequacy checking; how transformations and weighted least squares can be used to resolve problems of model inadequacy; how to deal with influential observations; and polynomial regression models and their variations. The book also includes material on regression models with autocorrelated errors, bootstrapping regression estimates, classification and regression trees, and regression model validation.
Author : Bharat Kolluri
Publisher : John Wiley & Sons
ISBN 13 : 1119221048
Total Pages : 154 pages
Book Rating : 4.1/5 (192 download)
Download or read book Solutions Manual to Accompany Introduction to Quantitative Methods in Business: with Applications Using Microsoft Office Excel written by Bharat Kolluri and published by John Wiley & Sons. This book was released on 2016-07-07 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solutions Manual to accompany Introduction to Quantitative Methods in Business: With Applications Using Microsoft Office Excel
Author : Richard Durrett
Publisher :
ISBN 13 : 9780534192310
Total Pages : 109 pages
Book Rating : 4.1/5 (923 download)
Download or read book Solutions Manual to Accompany The Essentials of Probability written by Richard Durrett and published by . This book was released on 1994 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Narayanaswamy Balakrishnan
Publisher : John Wiley & Sons
ISBN 13 : 1118548558
Total Pages : 548 pages
Book Rating : 4.1/5 (185 download)
Download or read book Introduction to Probability written by Narayanaswamy Balakrishnan and published by John Wiley & Sons. This book was released on 2021-11-24 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
