Probabilistic Systems Analysis PDF Download
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| Author | : Arthur M. Breipohl |
| Publisher | : |
| Total Pages | : 376 |
| Release | : 1970 |
| Genre | : Mathematics |
| ISBN | : |
Download Probabilistic Systems Analysis Book in PDF, ePub and Kindle
Elementary probability; Engineering applications of probability; Random variables; Expected values; Distribution of functions of Random variables; Applications of Random variables to systems problems; Distributions from data; Estimation; Engineering decisions; Introduction to Random processes; Systems and Random signals.
| Author | : Dimitri Bertsekas |
| Publisher | : Athena Scientific |
| Total Pages | : 544 |
| Release | : 2008-07-01 |
| Genre | : Mathematics |
| ISBN | : 188652923X |
Download Introduction to Probability Book in PDF, ePub and Kindle
An intuitive, yet precise introduction to probability theory, stochastic processes, statistical inference, and probabilistic models used in science, engineering, economics, and related fields. This is the currently used textbook for an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students, and for a leading online class on the subject. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains a number of more advanced topics, including transforms, sums of random variables, a fairly detailed introduction to Bernoulli, Poisson, and Markov processes, Bayesian inference, and an introduction to classical statistics. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis is explained intuitively in the main text, and then developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems.
| Author | : Ronald A. Howard |
| Publisher | : Courier Corporation |
| Total Pages | : 610 |
| Release | : 2012-05-04 |
| Genre | : Mathematics |
| ISBN | : 0486140679 |
Download Dynamic Probabilistic Systems, Volume I Book in PDF, ePub and Kindle
This book is an integrated work published in two volumes. The first volume treats the basic Markov process and its variants; the second, semi-Markov and decision processes. Its intent is to equip readers to formulate, analyze, and evaluate simple and advanced Markov models of systems, ranging from genetics and space engineering to marketing. More than a collection of techniques, it constitutes a guide to the consistent application of the fundamental principles of probability and linear system theory. Author Ronald A. Howard, Professor of Management Science and Engineering at Stanford University, begins with the basic Markov model, proceeding to systems analyses of linear processes and Markov processes, transient Markov processes and Markov process statistics, and statistics and inference. Subsequent chapters explore recurrent events and random walks, Markovian population models, and time-varying Markov processes. Volume I concludes with a pair of helpful indexes.
| Author | : George R. Cooper |
| Publisher | : Oxford Series in Electrical an |
| Total Pages | : 480 |
| Release | : 1999 |
| Genre | : Computers |
| ISBN | : 9780195123548 |
Download Probabilistic Methods of Signal and System Analysis Book in PDF, ePub and Kindle
Probabilistic Methods of Signal and System Analysis, 3/e stresses the engineering applications of probability theory, presenting the material at a level and in a manner ideally suited to engineering students at the junior or senior level. It is also useful as a review for graduate students and practicing engineers. Thoroughly revised and updated, this third edition incorporates increased use of the computer in both text examples and selected problems. It utilizes MATLAB as a computational tool and includes new sections relating to Bernoulli trials, correlation of data sets, smoothing of data, computer computation of correlation functions and spectral densities, and computer simulation of systems. All computer examples can be run using the Student Version of MATLAB. Almost all of the examples and many of the problems have been modified or changed entirely, and a number of new problems have been added. A separate appendix discusses and illustrates the application of computers to signal and system analysis.
| Author | : Annabelle McIver |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 412 |
| Release | : 2005 |
| Genre | : Computers |
| ISBN | : 9780387401157 |
Download Abstraction, Refinement and Proof for Probabilistic Systems Book in PDF, ePub and Kindle
Provides an integrated coverage of random/probabilistic algorithms, assertion-based program reasoning, and refinement programming models, providing a focused survey on probabilistic program semantics. This book illustrates, by examples, the typical steps necessary to build a mathematical model of any programming paradigm.
| Author | : Ronald A. Howard |
| Publisher | : Courier Corporation |
| Total Pages | : 857 |
| Release | : 2013-01-18 |
| Genre | : Mathematics |
| ISBN | : 0486152006 |
Download Dynamic Probabilistic Systems, Volume II Book in PDF, ePub and Kindle
This book is an integrated work published in two volumes. The first volume treats the basic Markov process and its variants; the second, semi-Markov and decision processes. Its intent is to equip readers to formulate, analyze, and evaluate simple and advanced Markov models of systems, ranging from genetics and space engineering to marketing. More than a collection of techniques, it constitutes a guide to the consistent application of the fundamental principles of probability and linear system theory. Author Ronald A. Howard, Professor of Management Science and Engineering at Stanford University, continues his treatment from Volume I with surveys of the discrete- and continuous-time semi-Markov processes, continuous-time Markov processes, and the optimization procedure of dynamic programming. The final chapter reviews the preceding material, focusing on the decision processes with discussions of decision structure, value and policy iteration, and examples of infinite duration and transient processes. Volume II concludes with an appendix listing the properties of congruent matrix multiplication.
| Author | : Samy G. Krishnasamy |
| Publisher | : Elsevier |
| Total Pages | : 679 |
| Release | : 2013-10-22 |
| Genre | : Technology & Engineering |
| ISBN | : 1483160742 |
Download Probabilistic Methods Applied to Electric Power Systems Book in PDF, ePub and Kindle
Probabilistic Methods Applied to Electric Power Systems contains the proceedings of the First International Symposium held in Toronto, Ontario, Canada, on July 11-13, 1986. The papers explore significant technical advances that have been made in the application of probability methods to the design of electric power systems. This volume is comprised of 65 chapters divided into 10 sections and begins by discussing the probabilistic methodologies used in the assessment of power system reliability and structural design. The following chapters focus on the applications of probabilistic techniques to the analysis and design of transmission systems and structures; evaluation of design and reliability of distribution systems; system planning; and assessment of performance of transmission system components such as insulators, tower joints, and foundations. The probability-based procedures for dealing with data bases such as wind load and ice load are also considered, along with the effects of weather-induced loads on overhead power lines and the use of probability methods in upgrading existing power lines and components. The final section deals with applications of probability methods to power system problems not covered in other chapters. This book will be of value to engineers involved in uprating, designing, analyzing, and assessing reliability of transmission and distribution systems.
| Author | : Abraham H. Haddad |
| Publisher | : Prentice Hall |
| Total Pages | : 454 |
| Release | : 2006 |
| Genre | : Probabilities |
| ISBN | : |
Download Probabilistic Systems and Random Signals Book in PDF, ePub and Kindle
In-depth mathematical treatment, including examples of real systems to explain many of the probabilistic models and the use of Matlab both in examples and problem assignments, ensures students can relate to the mathematical material in practical terms Unique applications--covering issues such as reliability, measurement errors, and arrival and departure of events in networks--provide students with a broader range of topical coverage.
| Author | : George R. Cooper |
| Publisher | : Oxford University Press, USA |
| Total Pages | : 8 |
| Release | : 1986 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 9780030706141 |
Download Probabilistic Methods of Signal and System Analysis Book in PDF, ePub and Kindle
Probabilistic Methods of Signal and System Analysis, 3/e stresses the engineering applications of probability theory, presenting the material at a level and in a manner ideally suited to engineering students at the junior or senior level. It is also useful as a review for graduate students and practicing engineers.Thoroughly revised and updated, this third edition incorporates increased use of the computer in both text examples and selected problems. It utilizes MATLAB as a computational tool and includes new sections relating to Bernoulli trials, correlation of data sets, smoothing of data, computer computation of correlation functions and spectral densities, and computer simulation of systems. All computer examples can be run using the Student Version of MATLAB. Almost all of the examples and many of the problems have been modified or changed entirely, and a number of new problems have been added. A separate appendix discusses and illustrates the application of computers to signal and system analysis.
| Author | : Robert G. Gallager |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 280 |
| Release | : 2012-12-06 |
| Genre | : Technology & Engineering |
| ISBN | : 146152329X |
Download Discrete Stochastic Processes Book in PDF, ePub and Kindle
Stochastic processes are found in probabilistic systems that evolve with time. Discrete stochastic processes change by only integer time steps (for some time scale), or are characterized by discrete occurrences at arbitrary times. Discrete Stochastic Processes helps the reader develop the understanding and intuition necessary to apply stochastic process theory in engineering, science and operations research. The book approaches the subject via many simple examples which build insight into the structure of stochastic processes and the general effect of these phenomena in real systems. The book presents mathematical ideas without recourse to measure theory, using only minimal mathematical analysis. In the proofs and explanations, clarity is favored over formal rigor, and simplicity over generality. Numerous examples are given to show how results fail to hold when all the conditions are not satisfied. Audience: An excellent textbook for a graduate level course in engineering and operations research. Also an invaluable reference for all those requiring a deeper understanding of the subject.
