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Author : Sheldon M. Ross
Publisher :
ISBN 13 :
Total Pages : 767 pages
Book Rating : 4.1/5 (568 download)
Download or read book Introduction to Probability Models(11판) written by Sheldon M. Ross and published by . This book was released on 2015 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Narayanaswamy Balakrishnan
Publisher : John Wiley & Sons
ISBN 13 : 1118123336
Total Pages : 548 pages
Book Rating : 4.1/5 (181 download)
Download or read book Introduction to Probability written by Narayanaswamy Balakrishnan and published by John Wiley & Sons. This book was released on 2021-12-29 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.
Author : Sheldon M. Ross
Publisher : Elsevier
ISBN 13 : 0123736358
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 Elsevier. This book was released on 2007 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Sheldon M. Ross
Publisher : Academic Press
ISBN 13 : 0080920179
Total Pages : 800 pages
Book Rating : 4.0/5 (89 download)
Download or read book Introduction to Probability Models, ISE written by Sheldon M. Ross and published by Academic Press. This book was released on 2006-11-17 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It provides an introduction to elementary probability theory and stochastic processes, and shows 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. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries. A new section (3.7) on COMPOUND RANDOM VARIABLES, that can be used to establish a recursive formula for computing probability mass functions for a variety of common compounding distributions. A new section (4.11) on HIDDDEN MARKOV CHAINS, including the forward and backward approaches for computing the joint probability mass function of the signals, as well as the Viterbi algorithm for determining the most likely sequence of states. Simplified Approach for Analyzing Nonhomogeneous Poisson processes Additional results on queues relating to the (a) conditional distribution of the number found by an M/M/1 arrival who spends a time t in the system; (b) inspection paradox for M/M/1 queues (c) M/G/1 queue with server breakdown Many new examples and exercises.
Author : Lester L. Helms
Publisher : Courier Corporation
ISBN 13 : 0486474186
Total Pages : 370 pages
Book Rating : 4.4/5 (864 download)
Download or read book Introduction to Probability Theory with Contemporary Applications written by Lester L. Helms and published by Courier Corporation. This book was released on 2010-04-21 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introduction to probability theory transforms a highly abstract subject into a series of coherent concepts. Its extensive discussions and clear examples, written in plain language, expose students to the rules and methods of probability. Numerous exercises foster the development of problem-solving skills, and all problems feature step-by-step solutions. 1997 edition.
Author : Wayne L. Winston
Publisher : Brooks/Cole Publishing Company
ISBN 13 : 9780534423599
Total Pages : 752 pages
Book Rating : 4.4/5 (235 download)
Download or read book Introduction to Probability Models written by Wayne L. Winston and published by Brooks/Cole Publishing Company. This book was released on 2003-06-01 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text, the second volume of Wayne Winston's successful OPERATIONS RESEARCH: APPLICATIONS AND ALGORITHMS, FOURTH EDITION, covers topics in Probability Models and addresses the substantial contribution of Probability Modeling in the last five years to the fields of financial engineering, computational simulation and manufacturing. The specific attention to probability models with the addition of recent practical breakthroughs makes this the first text to introduce these ideas together at an accessible level.
Author : Kenneth Baclawski
Publisher : CRC Press
ISBN 13 : 9781032477800
Total Pages : 0 pages
Book Rating : 4.4/5 (778 download)
Download or read book Introduction to Probability with R written by Kenneth Baclawski and published by CRC Press. This book was released on 2023-01-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text presents R programs and animations to provide an intuitive yet rigorous understanding of how to model natural phenomena from a probabilistic point of view. Each chapter includes a short biographical note about a contributor to probability theory, exercises, and selected answers. Ancillary material is accessible online.
Author : Jacco Thijssen
Publisher : CRC Press
ISBN 13 : 149875578X
Total Pages : 212 pages
Book Rating : 4.4/5 (987 download)
Download or read book A Concise Introduction to Statistical Inference written by Jacco Thijssen and published by CRC Press. This book was released on 2016-11-25 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This short book introduces the main ideas of statistical inference in a way that is both user friendly and mathematically sound. Particular emphasis is placed on the common foundation of many models used in practice. In addition, the book focuses on the formulation of appropriate statistical models to study problems in business, economics, and the social sciences, as well as on how to interpret the results from statistical analyses. The book will be useful to students who are interested in rigorous applications of statistics to problems in business, economics and the social sciences, as well as students who have studied statistics in the past, but need a more solid grounding in statistical techniques to further their careers. Jacco Thijssen is professor of finance at the University of York, UK. He holds a PhD in mathematical economics from Tilburg University, Netherlands. His main research interests are in applications of optimal stopping theory, stochastic calculus, and game theory to problems in economics and finance. Professor Thijssen has earned several awards for his statistics teaching.
Author : Sheldon M Ross
Publisher : Academic Press
ISBN 13 : 9780123814364
Total Pages : 170 pages
Book Rating : 4.8/5 (143 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 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Probability Models, Student Solutions Manual (e-only)
Author : Dimitri P. Bertsekas
Publisher :
ISBN 13 :
Total Pages : 440 pages
Book Rating : 4.3/5 (91 download)
Download or read book Introduction to Probability written by Dimitri P. Bertsekas and published by . This book was released on 2002 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : G. Latouche
Publisher : SIAM
ISBN 13 : 0898714257
Total Pages : 331 pages
Book Rating : 4.8/5 (987 download)
Download or read book Introduction to Matrix Analytic Methods in Stochastic Modeling written by G. Latouche and published by SIAM. This book was released on 1999-01-01 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the basic mathematical ideas and algorithms of the matrix analytic theory in a readable, up-to-date, and comprehensive manner.
Author : Arakaparampil M. Mathai
Publisher :
ISBN 13 :
Total Pages : 454 pages
Book Rating : 4.0/5 ( download)
Download or read book Introduction to Statistical Mathematics (mathematics of Stochastic Variables) written by Arakaparampil M. Mathai and published by . This book was released on 1967 with total page 454 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 : Lise Getoor
Publisher : MIT Press
ISBN 13 : 0262538687
Total Pages : 602 pages
Book Rating : 4.2/5 (625 download)
Download or read book Introduction to Statistical Relational Learning written by Lise Getoor and published by MIT Press. This book was released on 2019-09-22 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications. Handling inherent uncertainty and exploiting compositional structure are fundamental to understanding and designing large-scale systems. Statistical relational learning builds on ideas from probability theory and statistics to address uncertainty while incorporating tools from logic, databases and programming languages to represent structure. In Introduction to Statistical Relational Learning, leading researchers in this emerging area of machine learning describe current formalisms, models, and algorithms that enable effective and robust reasoning about richly structured systems and data. The early chapters provide tutorials for material used in later chapters, offering introductions to representation, inference and learning in graphical models, and logic. The book then describes object-oriented approaches, including probabilistic relational models, relational Markov networks, and probabilistic entity-relationship models as well as logic-based formalisms including Bayesian logic programs, Markov logic, and stochastic logic programs. Later chapters discuss such topics as probabilistic models with unknown objects, relational dependency networks, reinforcement learning in relational domains, and information extraction. By presenting a variety of approaches, the book highlights commonalities and clarifies important differences among proposed approaches and, along the way, identifies important representational and algorithmic issues. Numerous applications are provided throughout.
Author : Svetlana N. Yanushkevich
Publisher : Springer Nature
ISBN 13 : 3031798554
Total Pages : 132 pages
Book Rating : 4.0/5 (317 download)
Download or read book Introduction to Noise-Resilient Computing written by Svetlana N. Yanushkevich and published by Springer Nature. This book was released on 2022-06-01 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Noise abatement is the key problem of small-scaled circuit design. New computational paradigms are needed -- as these circuits shrink, they become very vulnerable to noise and soft errors. In this lecture, we present a probabilistic computation framework for improving the resiliency of logic gates and circuits under random conditions induced by voltage or current fluctuation. Among many probabilistic techniques for modeling such devices, only a few models satisfy the requirements of efficient hardware implementation -- specifically, Boltzman machines and Markov Random Field (MRF) models. These models have similar built-in noise-immunity characteristics based on feedback mechanisms. In probabilistic models, the values 0 and 1 of logic functions are replaced by degrees of beliefs that these values occur. An appropriate metric for degree of belief is probability. We discuss various approaches for noise-resilient logic gate design, and propose a novel design taxonomy based on implementation of the MRF model by a new type of binary decision diagram (BDD), called a cyclic BDD. In this approach, logic gates and circuits are designed using 2-to-1 bi-directional switches. Such circuits are often modeled using Shannon expansions with the corresponding graph-based implementation, BDDs. Simulation experiments are reported to show the noise immunity of the proposed structures. Audiences who may benefit from this lecture include graduate students taking classes on advanced computing device design, and academic and industrial researchers. Table of Contents: Introduction to probabilistic computation models / Nanoscale circuits and fluctuation problems / Estimators and Metrics / MRF Models of Logic Gates / Neuromorphic models / Noise-tolerance via error correcting / Conclusion and future work
Author : Harold J. Larson
Publisher :
ISBN 13 :
Total Pages : 408 pages
Book Rating : 4.3/5 (91 download)
Download or read book Introduction to Probability Theory and Statistical Inference written by Harold J. Larson and published by . This book was released on 1969 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bernard William Lindgren
Publisher :
ISBN 13 :
Total Pages : 330 pages
Book Rating : 4.F/5 ( download)
Download or read book Introduction to Probability and Statistics written by Bernard William Lindgren and published by . This book was released on 1969 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt:
