Elements Of Probabilistic Analysis With Applications
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Elements Of Probabilistic Analysis With Applications
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Author : Gheorghe Constantin
language : en
Publisher:
Release Date : 1989
Elements Of Probabilistic Analysis With Applications written by Gheorghe Constantin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Probabilities categories.
The Elements Of Probability Theory And Some Of Its Applications
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Author : Harald Cramér
language : en
Publisher: Krieger Publishing Company
Release Date : 1973
The Elements Of Probability Theory And Some Of Its Applications written by Harald Cramér and has been published by Krieger Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Probabilities categories.
Formalized Probability Theory And Applications Using Theorem Proving
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Author : Hasan, Osman
language : en
Publisher: IGI Global
Release Date : 2015-03-31
Formalized Probability Theory And Applications Using Theorem Proving written by Hasan, Osman and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-31 with Mathematics categories.
Scientists and engineers often have to deal with systems that exhibit random or unpredictable elements and must effectively evaluate probabilities in each situation. Computer simulations, while the traditional tool used to solve such problems, are limited in the scale and complexity of the problems they can solve. Formalized Probability Theory and Applications Using Theorem Proving discusses some of the limitations inherent in computer systems when applied to problems of probabilistic analysis, and presents a novel solution to these limitations, combining higher-order logic with computer-based theorem proving. Combining practical application with theoretical discussion, this book is an important reference tool for mathematicians, scientists, engineers, and researchers in all STEM fields.
Probabilistic Systems Analysis
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Author : Arthur M. Breipohl
language : en
Publisher:
Release Date : 1970
Probabilistic Systems Analysis written by Arthur M. Breipohl and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Mathematics categories.
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.
Probabilistic Analysis Of Algorithms
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Author : Micha Hofri
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Probabilistic Analysis Of Algorithms written by Micha Hofri and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Probabilistic Analysis of Algorithms begins with a presentation of the "tools of the trade" currently used in probabilistic analyses, and continues with an applications section in which these tools are used in the analysis ofr selected algorithms. The tools section of the book provides the reader with an arsenal of analytic and numeric computing methods which are then applied to several groups of algorithms to analyze their running time or storage requirements characteristics. Topics covered in the applications section include sorting, communications network protocols and bin packing. While the discussion of the various algorithms is sufficient to motivate their structure, the emphasis throughout is on the probabilistic estimation of their operation under distributional assumptions on their input. Probabilistic Analysis of Algorithms assumes a working knowledge of engineering mathematics, drawing on real and complex analysis, combinatorics and probability theory. While the book is intended primarily as a text for the upper undergraduate and graduate student levels, it contains a wealth of material and should also prove an important reference for researchers. As such it is addressed to computer scientists, mathematicians, operations researchers, and electrical and industrial engineers who are interested in evaluating the probable operation of algorithms, rather than their worst-case behavior.
Probabilistic Analysis And Related Topics
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Author : A. T. Bharucha-Reid
language : en
Publisher: Elsevier
Release Date : 2014-05-10
Probabilistic Analysis And Related Topics written by A. T. Bharucha-Reid and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Mathematics categories.
Probabilistic Analysis and Related Topics, Volume 2 focuses on the integrability, continuity, and differentiability of random functions, as well as functional analysis, measure theory, operator theory, and numerical analysis. The selection first offers information on the optimal control of stochastic systems and Gleason measures. Discussions focus on convergence of Gleason measures, random Gleason measures, orthogonally scattered Gleason measures, existence of optimal controls without feedback, random necessary conditions, and Gleason measures in tensor products. The text then elaborates on an introduction to nonstandard analysis and hyperfinite probability theory, including applications to stochastic processes, conversion from nonstandard to standard measure spaces, and an introduction to nonstandard analysis. The text examines stochastic matrices, ergodic Markov chains, and measures on semigroups, as well as limit theorems for convolution products of probability measures on completely simple semigroups; ergodicity of Markov chains and probability measures on semigroups; and limits of convolutions in groups and semigroups. The selection is a dependable source of data for mathematicians and researchers interested in the general theory of random functions.
Introduction To Probabilistic And Statistical Methods With Examples In R
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Author : Katarzyna Stapor
language : en
Publisher: Springer Nature
Release Date : 2020-05-22
Introduction To Probabilistic And Statistical Methods With Examples In R written by Katarzyna Stapor and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-22 with Mathematics categories.
This book strikes a healthy balance between theory and applications, ensuring that it doesn’t offer a set of tools with no mathematical roots. It is intended as a comprehensive and largely self-contained introduction to probability and statistics for university students from various faculties, with accompanying implementations of some rudimentary statistical techniques in the language R. The content is divided into three basic parts: the first includes elements of probability theory, the second introduces readers to the basics of descriptive and inferential statistics (estimation, hypothesis testing), and the third presents the elements of correlation and linear regression analysis. Thanks to examples showing how to approach real-world problems using statistics, readers will acquire stronger analytical thinking skills, which are essential for analysts and data scientists alike.
Probability And Computing
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Author : Michael Mitzenmacher
language : en
Publisher: Cambridge University Press
Release Date : 2005-01-31
Probability And Computing written by Michael Mitzenmacher and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-31 with Computers categories.
Randomization and probabilistic techniques play an important role in modern computer science, with applications ranging from combinatorial optimization and machine learning to communication networks and secure protocols. This 2005 textbook is designed to accompany a one- or two-semester course for advanced undergraduates or beginning graduate students in computer science and applied mathematics. It gives an excellent introduction to the probabilistic techniques and paradigms used in the development of probabilistic algorithms and analyses. It assumes only an elementary background in discrete mathematics and gives a rigorous yet accessible treatment of the material, with numerous examples and applications. The first half of the book covers core material, including random sampling, expectations, Markov's inequality, Chevyshev's inequality, Chernoff bounds, the probabilistic method and Markov chains. The second half covers more advanced topics such as continuous probability, applications of limited independence, entropy, Markov chain Monte Carlo methods and balanced allocations. With its comprehensive selection of topics, along with many examples and exercises, this book is an indispensable teaching tool.
Elements Of Probability And Statistics
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Author : Frank Louis Wolf
language : en
Publisher:
Release Date : 2013-07
Elements Of Probability And Statistics written by Frank Louis Wolf and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07 with categories.
The Elements Of Probability Theory And Some Of Its Applications
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Author : Harald Cramér
language : en
Publisher:
Release Date : 1955
The Elements Of Probability Theory And Some Of Its Applications written by Harald Cramér and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1955 with categories.