Share

Applied Probability and Stochastic Processes

Download Applied Probability and Stochastic Processes PDF Online Free

Author :
Release : 2009-11-27
Genre : Technology & Engineering
Kind : eBook
Book Rating : 588/5 ( reviews)

GET EBOOK


Book Synopsis Applied Probability and Stochastic Processes by : Richard M. Feldman

Download or read book Applied Probability and Stochastic Processes written by Richard M. Feldman. This book was released on 2009-11-27. Available in PDF, EPUB and Kindle. Book excerpt: This book is a result of teaching stochastic processes to junior and senior undergr- uates and beginning graduate students over many years. In teaching such a course, we have realized a need to furnish students with material that gives a mathematical presentation while at the same time providing proper foundations to allow students to build an intuitive feel for probabilistic reasoning. We have tried to maintain a b- ance in presenting advanced but understandable material that sparks an interest and challenges students, without the discouragement that often comes as a consequence of not understanding the material. Our intent in this text is to develop stochastic p- cesses in an elementary but mathematically precise style and to provide suf?cient examples and homework exercises that will permit students to understand the range of application areas for stochastic processes. We also practice active learning in the classroom. In other words, we believe that the traditional practice of lecturing continuously for 50 to 75 minutes is not a very effective method for teaching. Students should somehow engage in the subject m- ter during the teaching session. One effective method for active learning is, after at most 20 minutes of lecture, to assign a small example problem for the students to work and one important tool that the instructor can utilize is the computer. So- times we are fortunate to lecture students in a classroom containing computers with a spreadsheet program, usually Microsoft’s Excel.

Applied Probability and Stochastic Processes

Download Applied Probability and Stochastic Processes PDF Online Free

Author :
Release : 1990-01-25
Genre : Mathematics
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis Applied Probability and Stochastic Processes by : Michel K. Ochi

Download or read book Applied Probability and Stochastic Processes written by Michel K. Ochi. This book was released on 1990-01-25. Available in PDF, EPUB and Kindle. Book excerpt: This introduction to modern concepts of applied stochastic processes is written for a broad range of applications in diverse areas of engineering and the physical sciences (unlike other books, which are written primarily for communications or electrical engineering). Emphasis is on clarifying the basic principles supporting current prediction techniques. The first eight chapters present the probability theory relevant to analysis of stochastic processes. The following nine chapters discuss principles, advanced techniques (including the procedures of spectral analysis and the development of the probability density function) and applications. Also features material found in the recent literature such as higher-order spectral analysis, the joint probability distribution of amplitudes and periods and non-Gaussian random processes. Includes numerous illustrative examples.

Fundamentals of Applied Probability and Random Processes

Download Fundamentals of Applied Probability and Random Processes PDF Online Free

Author :
Release : 2014-06-13
Genre : Mathematics
Kind : eBook
Book Rating : 355/5 ( reviews)

GET EBOOK


Book Synopsis Fundamentals of Applied Probability and Random Processes by : Oliver Ibe

Download or read book Fundamentals of Applied Probability and Random Processes written by Oliver Ibe. This book was released on 2014-06-13. Available in PDF, EPUB and Kindle. Book excerpt: The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic. The title is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. The book's clear writing style and homework problems make it ideal for the classroom or for self-study. Demonstrates concepts with more than 100 illustrations, including 2 dozen new drawings Expands readers’ understanding of disruptive statistics in a new chapter (chapter 8) Provides new chapter on Introduction to Random Processes with 14 new illustrations and tables explaining key concepts. Includes two chapters devoted to the two branches of statistics, namely descriptive statistics (chapter 8) and inferential (or inductive) statistics (chapter 9).

Applied Probability and Stochastic Processes

Download Applied Probability and Stochastic Processes PDF Online Free

Author :
Release : 2016-04-05
Genre : Business & Economics
Kind : eBook
Book Rating : 653/5 ( reviews)

GET EBOOK


Book Synopsis Applied Probability and Stochastic Processes by : Frank Beichelt

Download or read book Applied Probability and Stochastic Processes written by Frank Beichelt. This book was released on 2016-04-05. Available in PDF, EPUB and Kindle. Book excerpt: Applied Probability and Stochastic Processes, Second Edition presents a self-contained introduction to elementary probability theory and stochastic processes with a special emphasis on their applications in science, engineering, finance, computer science, and operations research. It covers the theoretical foundations for modeling time-dependent random phenomena in these areas and illustrates applications through the analysis of numerous practical examples. The author draws on his 50 years of experience in the field to give your students a better understanding of probability theory and stochastic processes and enable them to use stochastic modeling in their work. New to the Second Edition Completely rewritten part on probability theory—now more than double in size New sections on time series analysis, random walks, branching processes, and spectral analysis of stationary stochastic processes Comprehensive numerical discussions of examples, which replace the more theoretically challenging sections Additional examples, exercises, and figures Presenting the material in a student-friendly, application-oriented manner, this non-measure theoretic text only assumes a mathematical maturity that applied science students acquire during their undergraduate studies in mathematics. Many exercises allow students to assess their understanding of the topics. In addition, the book occasionally describes connections between probabilistic concepts and corresponding statistical approaches to facilitate comprehension. Some important proofs and challenging examples and exercises are also included for more theoretically interested readers.

Applied Probability and Stochastic Processes

Download Applied Probability and Stochastic Processes PDF Online Free

Author :
Release : 2020-08-29
Genre : Mathematics
Kind : eBook
Book Rating : 511/5 ( reviews)

GET EBOOK


Book Synopsis Applied Probability and Stochastic Processes by : V. C. Joshua

Download or read book Applied Probability and Stochastic Processes written by V. C. Joshua. This book was released on 2020-08-29. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the International Conference on Advances in Applied Probability and Stochastic Processes, held at CMS College, Kerala, India, on 7–10 January 2019. It showcases high-quality research conducted in the field of applied probability and stochastic processes by focusing on techniques for the modelling and analysis of systems evolving with time. Further, it discusses the applications of stochastic modelling in queuing theory, reliability, inventory, financial mathematics, operations research, and more. This book is intended for a broad audience, ranging from researchers interested in applied probability, stochastic modelling with reference to queuing theory, inventory, and reliability, to those working in industries such as communication and computer networks, distributed information systems, next-generation communication systems, intelligent transportation networks, and financial markets.

You may also like...