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Author : James J. Higgins
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (133 download)
Download or read book Student Solutions Manual for Concepts in Probability and Stochastic Modeling written by James J. Higgins and published by . This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : James J. Higgins
Publisher :
ISBN 13 : 9780534231378
Total Pages : 0 pages
Book Rating : 4.2/5 (313 download)
Download or read book Students Solutions Manual for Concepts in Probability and Stochastic Modeling written by James J. Higgins and published by . This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Oliver Ibe
Publisher : Academic Press
ISBN 13 : 0080952143
Total Pages : 120 pages
Book Rating : 4.0/5 (89 download)
Download or read book Student Solutions Manual for Markov Processes for Stochastic Modeling written by Oliver Ibe and published by Academic Press. This book was released on 2008-11-21 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Student Solutions Manual for Markov Processes for Stochastic Modeling
Author : Sheldon M. Ross
Publisher :
ISBN 13 : 9780125984652
Total Pages : 199 pages
Book Rating : 4.9/5 (846 download)
Download or read book Solutions Manual for Introduction to Probability Models written by Sheldon M. Ross and published by . This book was released on 1989 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Sixth Edition of this very successful textbook, Introduction to Probability Models, introduces elementary probability theory & stochastic processes. This book is particularly well-suited for those who want to see how probability theory can be applied to the study of phenomena in fields such as engineering, management science, the physical & social sciences, & operations research.
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 : Howard M. Taylor
Publisher : Academic Press
ISBN 13 : 1483269272
Total Pages : 410 pages
Book Rating : 4.4/5 (832 download)
Download or read book An Introduction to Stochastic Modeling written by Howard M. Taylor and published by Academic Press. This book was released on 2014-05-10 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Stochastic Modeling provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which predicts a set of possible outcomes weighed by their likelihoods or probabilities. This text then provides exercises in the applications of simple stochastic analysis to appropriate problems. Other chapters consider the study of general functions of independent, identically distributed, nonnegative random variables representing the successive intervals between renewals. This book discusses as well the numerous examples of Markov branching processes that arise naturally in various scientific disciplines. The final chapter deals with queueing models, which aid the design process by predicting system performance. This book is a valuable resource for students of engineering and management science. Engineers will also find this book useful.
Author : Athanasios Christou Micheas
Publisher : Chapman and Hall/CRC
ISBN 13 : 9781466515208
Total Pages : 416 pages
Book Rating : 4.5/5 (152 download)
Download or read book Theory and Modeling of Stochastic Objects written by Athanasios Christou Micheas and published by Chapman and Hall/CRC. This book was released on 2015-06-15 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book defines and investigates the concept of a random object. To accomplish this task in a natural way, it brings together three major areas; statistical inference, measure-theoretic probability theory and stochastic processes. This point of view has not been explored by existing textbooks. One would need to use one book on Real Analysis, one on Measure and/or Probability theory, one in Stochastic processes, and at least one on Statistics to capture the detail and depth of material that has gone into this text. The book is targeted towards students at the master's and Ph.D. levels, as well as, academicians in the mathematics, statistics and related disciplines. Basic knowledge of calculus and matrix algebra is required. Prior knowledge of probability or measure theory is welcomed but not necessary.
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 : Liliana Blanco Castañeda
Publisher : John Wiley & Sons
ISBN 13 : 1118294408
Total Pages : 613 pages
Book Rating : 4.1/5 (182 download)
Download or read book Introduction to Probability and Stochastic Processes with Applications written by Liliana Blanco Castañeda and published by John Wiley & Sons. This book was released on 2012-06-26 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: An easily accessible, real-world approach to probability and stochastic processes Introduction to Probability and Stochastic Processes with Applications presents a clear, easy-to-understand treatment of probability and stochastic processes, providing readers with a solid foundation they can build upon throughout their careers. With an emphasis on applications in engineering, applied sciences, business and finance, statistics, mathematics, and operations research, the book features numerous real-world examples that illustrate how random phenomena occur in nature and how to use probabilistic techniques to accurately model these phenomena. The authors discuss a broad range of topics, from the basic concepts of probability to advanced topics for further study, including Itô integrals, martingales, and sigma algebras. Additional topical coverage includes: Distributions of discrete and continuous random variables frequently used in applications Random vectors, conditional probability, expectation, and multivariate normal distributions The laws of large numbers, limit theorems, and convergence of sequences of random variables Stochastic processes and related applications, particularly in queueing systems Financial mathematics, including pricing methods such as risk-neutral valuation and the Black-Scholes formula Extensive appendices containing a review of the requisite mathematics and tables of standard distributions for use in applications are provided, and plentiful exercises, problems, and solutions are found throughout. Also, a related website features additional exercises with solutions and supplementary material for classroom use. Introduction to Probability and Stochastic Processes with Applications is an ideal book for probability courses at the upper-undergraduate level. The book is also a valuable reference for researchers and practitioners in the fields of engineering, operations research, and computer science who conduct data analysis to make decisions in their everyday work.
Author : Athanasios Papoulis
Publisher :
ISBN 13 : 9780070484788
Total Pages : 666 pages
Book Rating : 4.4/5 (847 download)
Download or read book Probability, random variables, and stochastic processes written by Athanasios Papoulis and published by . This book was released on 1991 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mark Ward
Publisher : Macmillan Higher Education
ISBN 13 : 1319060897
Total Pages : 99 pages
Book Rating : 4.3/5 (19 download)
Download or read book Student Solutions Manual for Introduction to Probability written by Mark Ward and published by Macmillan Higher Education. This book was released on 2015-08-24 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlike most probability textbooks, which are only truly accessible to mathematically-oriented students, Ward and Gundlach’s Introduction to Probability reaches out to a much wider introductory-level audience. Its conversational style, highly visual approach, practical examples, and step-by-step problem solving procedures help all kinds of students understand the basics of probability theory and its broad applications. The book was extensively class-tested through its preliminary edition, to make it even more effective at building confidence in students who have viable problem-solving potential but are not fully comfortable in the culture of mathematics.
Author : Athanasios Papoulis
Publisher :
ISBN 13 : 9780070484696
Total Pages : 143 pages
Book Rating : 4.4/5 (846 download)
Download or read book Probability, Random Variables, and Stochastic Processes/ Solutions Manual written by Athanasios Papoulis and published by . This book was released on 1984 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dirk P. Kroese
Publisher : John Wiley & Sons
ISBN 13 : 0470285303
Total Pages : 204 pages
Book Rating : 4.4/5 (72 download)
Download or read book Student Solutions Manual to accompany Simulation and the Monte Carlo Method, Student Solutions Manual written by Dirk P. Kroese and published by John Wiley & Sons. This book was released on 2012-01-20 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible new edition explores the major topics in Monte Carlo simulation Simulation and the Monte Carlo Method, Second Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the major topics that have emerged in Monte Carlo simulation since the publication of the classic First Edition over twenty-five years ago. While maintaining its accessible and intuitive approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide array of subject areas, such as engineering, statistics, computer science, mathematics, and the physical and life sciences. The book begins with a modernized introduction that addresses the basic concepts of probability, Markov processes, and convex optimization. Subsequent chapters discuss the dramatic changes that have occurred in the field of the Monte Carlo method, with coverage of many modern topics including: Markov Chain Monte Carlo Variance reduction techniques such as the transform likelihood ratio method and the screening method The score function method for sensitivity analysis The stochastic approximation method and the stochastic counter-part method for Monte Carlo optimization The cross-entropy method to rare events estimation and combinatorial optimization Application of Monte Carlo techniques for counting problems, with an emphasis on the parametric minimum cross-entropy method An extensive range of exercises is provided at the end of each chapter, with more difficult sections and exercises marked accordingly for advanced readers. A generous sampling of applied examples is positioned throughout the book, emphasizing various areas of application, and a detailed appendix presents an introduction to exponential families, a discussion of the computational complexity of stochastic programming problems, and sample MATLAB® programs. Requiring only a basic, introductory knowledge of probability and statistics, Simulation and the Monte Carlo Method, Second Edition is an excellent text for upper-undergraduate and beginning graduate courses in simulation and Monte Carlo techniques. The book also serves as a valuable reference for professionals who would like to achieve a more formal understanding of the Monte Carlo method.
Author : Morris DeGroot
Publisher : Pearson
ISBN 13 : 9780321715982
Total Pages : 0 pages
Book Rating : 4.7/5 (159 download)
Download or read book Student Solutions Manual for Probability and Statistics written by Morris DeGroot and published by Pearson. This book was released on 2011-01-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This manual contains completely worked-out solutions for all the odd-numbered exercises in the text.
Author : Athanasios Christou Micheas
Publisher : CRC Press
ISBN 13 : 9781032242880
Total Pages : 408 pages
Book Rating : 4.2/5 (428 download)
Download or read book Theory of Stochastic Objects written by Athanasios Christou Micheas and published by CRC Press. This book was released on 2021-12-13 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book defines and investigates the concept of a random object. To accomplish this task in a natural way, it brings together three major areas; statistical inference, measure-theoretic probability theory and stochastic processes. This point of view has not been explored by existing textbooks; one would need material on real analysis, measure and probability theory, as well as stochastic processes - in addition to at least one text on statistics- to capture the detail and depth of material that has gone into this volume. Presents and illustrates 'random objects' in different contexts, under a unified framework, starting with rudimentary results on random variables and random sequences, all the way up to stochastic partial differential equations. Reviews rudimentary probability and introduces statistical inference, from basic to advanced, thus making the transition from basic statistical modeling and estimation to advanced topics more natural and concrete. Compact and comprehensive presentation of the material that will be useful to a reader from the mathematics and statistical sciences, at any stage of their career, either as a graduate student, an instructor, or an academician conducting research and requiring quick references and examples to classic topics. Includes 378 exercises, with the solutions manual available on the book's website. 121 illustrative examples of the concepts presented in the text (many including multiple items in a single example). The book is targeted towards students at the master's and Ph.D. levels, as well as, academicians in the mathematics, statistics and related disciplines. Basic knowledge of calculus and matrix algebra is required. Prior knowledge of probability or measure theory is welcomed but not necessary.
Author : C. Richard Cassady
Publisher : CRC Press
ISBN 13 : 1420054902
Total Pages : 224 pages
Book Rating : 4.4/5 (2 download)
Download or read book Probability Models in Operations Research written by C. Richard Cassady and published by CRC Press. This book was released on 2008-08-05 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industrial engineering has expanded from its origins in manufacturing to transportation, health care, logistics, services, and more. A common denominator among all these industries, and one of the biggest challenges facing decision-makers, is the unpredictability of systems. Probability Models in Operations Research provides a comprehensive
Author : Alberto Leon-Garcia
Publisher : Pearson
ISBN 13 : 9780136081180
Total Pages : 0 pages
Book Rating : 4.0/5 (811 download)
Download or read book Student Solutions Manual for Probability, Statistics, and Random Processes for Electrical Engineering written by Alberto Leon-Garcia and published by Pearson. This book was released on 2008-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Student Solutions Manual for Probability, Statistics, and Random Processes For Electrical Engineering accompanies Probability, Statistics, and Random Processes For Electrical Engineering, 3rd Edition. Probability, Statistics, and Random Processes For Electrical Engineering, 3rd Edition is the standard textbook for courses on probability and statistics. While helping students to develop their problem-solving skills, the author motivates students with practical applications from various areas of ECE that demonstrate the relevance of probability theory to engineering practice. Included are chapter overviews, summaries, checklists of important terms, annotated references, and a wide selection of fully worked-out real-world examples.
