Introduction Aux Probabilit S Applications En Informatique Et
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Introduction Aux Probabilit S Applications En Informatique Et
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Author : Marie,
language : fr
Publisher:
Release Date : 2016-09-13
Introduction Aux Probabilit S Applications En Informatique Et written by Marie, and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-13 with categories.
Introduction Aux Probabilit S
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Author : Francesco Caravenna
language : fr
Publisher: Dunod
Release Date : 2021-09-01
Introduction Aux Probabilit S written by Francesco Caravenna and has been published by Dunod this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Mathematics categories.
Cet ouvrage propose une introduction à la théorie des probabilités et à ses applications. Une première partie présente de manière complète et rigoureuse les probabilités discrètes. Une analyse détaillée de modèles issus de divers domaines est proposée (mathématique, informatique, physique, biologie). La seconde partie traite des variables aléatoires continues, réelles et multivariées, ainsi que des théorèmes limites classiques des probabilités, loi des grands nombres et théorème central limite. Parmi les applications, un chapitre est consacré à l’estimation de paramètres en statistique mathématique, un autre est dédié aux outils de simulation informatique de variables aléatoires. De nombreuses propositions de simulation émaillent et illustrent les différents modèles aléatoires présentés tout au long de l’ouvrage. Chaque chapitre propose une large sélection d’exercices de niveaux progressifs.
Introduction Aux Probabilit S
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Author : Quentin Berger
language : fr
Publisher:
Release Date : 2021-09
Introduction Aux Probabilit S written by Quentin Berger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09 with categories.
Introduction To Probability With Statistical Applications
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Author : Géza Schay
language : en
Publisher: Birkhäuser
Release Date : 2016-06-17
Introduction To Probability With Statistical Applications written by Géza Schay and has been published by Birkhäuser this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-17 with Mathematics categories.
Now in its second edition, this textbook serves as an introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and continuous random variables, expectation and variance, and common probability distributions such as the binomial, Poisson, and normal distributions. More classical examples such as Montmort's problem, the ballot problem, and Bertrand’s paradox are now included, along with applications such as the Maxwell-Boltzmann and Bose-Einstein distributions in physics. Key features in new edition: * 35 new exercises * Expanded section on the algebra of sets * Expanded chapters on probabilities to include more classical examples * New section on regression * Online instructors' manual containing solutions to all exercises“/p> Advanced undergraduate and graduate students in computer science, engineering, and other natural and social sciences with only a basic background in calculus will benefit from this introductory text balancing theory with applications. Review of the first edition: This textbook is a classical and well-written introduction to probability theory and statistics. ... the book is written ‘for an audience such as computer science students, whose mathematical background is not very strong and who do not need the detail and mathematical depth of similar books written for mathematics or statistics majors.’ ... Each new concept is clearly explained and is followed by many detailed examples. ... numerous examples of calculations are given and proofs are well-detailed." (Sophie Lemaire, Mathematical Reviews, Issue 2008 m)
Introduction To Probability And Statistics
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Author : Janet Susan Milton
language : en
Publisher:
Release Date : 2002-11-01
Introduction To Probability And Statistics written by Janet Susan Milton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-11-01 with Computer science categories.
This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis.
Probability With R
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Author : Jane M. Horgan
language : en
Publisher: John Wiley & Sons
Release Date : 2019-12-04
Probability With R written by Jane M. Horgan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-04 with Mathematics categories.
Provides a comprehensive introduction to probability with an emphasis on computing-related applications This self-contained new and extended edition outlines a first course in probability applied to computer-related disciplines. As in the first edition, experimentation and simulation are favoured over mathematical proofs. The freely down-loadable statistical programming language R is used throughout the text, not only as a tool for calculation and data analysis, but also to illustrate concepts of probability and to simulate distributions. The examples in Probability with R: An Introduction with Computer Science Applications, Second Edition cover a wide range of computer science applications, including: testing program performance; measuring response time and CPU time; estimating the reliability of components and systems; evaluating algorithms and queuing systems. Chapters cover: The R language; summarizing statistical data; graphical displays; the fundamentals of probability; reliability; discrete and continuous distributions; and more. This second edition includes: improved R code throughout the text, as well as new procedures, packages and interfaces; updated and additional examples, exercises and projects covering recent developments of computing; an introduction to bivariate discrete distributions together with the R functions used to handle large matrices of conditional probabilities, which are often needed in machine translation; an introduction to linear regression with particular emphasis on its application to machine learning using testing and training data; a new section on spam filtering using Bayes theorem to develop the filters; an extended range of Poisson applications such as network failures, website hits, virus attacks and accessing the cloud; use of new allocation functions in R to deal with hash table collision, server overload and the general allocation problem. The book is supplemented with a Wiley Book Companion Site featuring data and solutions to exercises within the book. Primarily addressed to students of computer science and related areas, Probability with R: An Introduction with Computer Science Applications, Second Edition is also an excellent text for students of engineering and the general sciences. Computing professionals who need to understand the relevance of probability in their areas of practice will find it useful.
Introduction To Probability And Statistics
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Author : Janet Susan Milton
language : en
Publisher: McGraw-Hill Science, Engineering & Mathematics
Release Date : 1995
Introduction To Probability And Statistics written by Janet Susan Milton and has been published by McGraw-Hill Science, Engineering & Mathematics this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computer science categories.
This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis.
Random Processes With Applications To Circuits And Communications
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Author : Bernard C. Levy
language : en
Publisher: Springer Nature
Release Date : 2019-09-14
Random Processes With Applications To Circuits And Communications written by Bernard C. Levy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-14 with Technology & Engineering categories.
This textbook is based on 20 years of teaching a graduate-level course in random processes to a constituency extending beyond signal processing, communications, control, and networking, and including in particular circuits, RF and optics graduate students. In order to accommodate today’s circuits students’ needs to understand noise modeling, while covering classical material on Brownian motion, Poisson processes, and power spectral densities, the author has inserted discussions of thermal noise, shot noise, quantization noise and oscillator phase noise. At the same time, techniques used to analyze modulated communications and radar signals, such as the baseband representation of bandpass random signals, or the computation of power spectral densities of a wide variety of modulated signals, are presented. This book also emphasizes modeling skills, primarily through the inclusion of long problems at the end of each chapter, where starting from a description of the operation of a system, a model is constructed and then analyzed. Provides semester-length coverage of random processes, applicable to the analysis of electrical and computer engineering systems; Designed to be accessible to students with varying backgrounds in undergraduate mathematics and engineering; Includes solved examples throughout the discussion, as well as extensive problem sets at the end of every chapter; Develops and reinforces student’s modeling skills, with inclusion of modeling problems in every chapter; Solutions for instructors included.
Initiation Aux Probabilit S
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Author : Pierre Brémaud
language : fr
Publisher: Springer Science & Business Media
Release Date : 2009-09-11
Initiation Aux Probabilit S written by Pierre Brémaud 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 2009-09-11 with Mathematics categories.
Cette introduction aux concepts probabilistes et au calcul des probabilités s'adresse aux élèves-ingénieurs ou aux étudiants qui ne se destinent pas a priori à une carrière en mathématiques. La présentation, bien qu'utilisant le formalisme moderne, ne fait donc pas appel à une connaissance préalable de la Théorie de la Mesure et de l'Intégration. En revanche, l'auteur insiste tout au long du livre sur l'aspect essentiel de la modélisation, à l'aide d'exercises variés en génétique (processus de branchement) en théorie des communicaitons (transmission de données, codage), en théorie du signal (filtre de Kalman-Bucy), en recherche opérationnelle (fils d'attente) en statistique (tests d'hypothèses), etc. Une dernière caractéristique importante de ce livre est la présence d'une centaine d'exercices avec solutions détaillées.
Introduction Aux Probabilit S Et La Statistique
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Author : Esther Amiot
language : fr
Publisher: Boucherville, Québec : G. Morin
Release Date : 1990-01
Introduction Aux Probabilit S Et La Statistique written by Esther Amiot and has been published by Boucherville, Québec : G. Morin this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-01 with Mathematical statistics categories.
Ce livre s'adresse a des etudiants qui possedent deja une formation en mathematiques. Il vise a faire decouvrir le lien entre une theorie mathematique et ses applications concretes. On y trouve donc une presentation theorique detaillee ainsi que des exemples concrets et des exercices en grand nombre.