Download or read book Introduction aux probabilit s applications en informatique et written by Marie, and published by . This book was released on 2016-09-13 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction aux probabilit s written by Francesco Caravenna and published by Dunod. This book was released on 2021-09-01 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Introduction aux probabilit s written by Quentin Berger and published by . This book was released on 2021-09 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Probability with Statistical Applications written by Géza Schay and published by Birkhäuser. This book was released on 2016-06-17 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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)
Download or read book Random Processes with Applications to Circuits and Communications written by Bernard C. Levy and published by Springer Nature. This book was released on 2019-09-14 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Introduction to Probability and Statistics written by Janet Susan Milton and published by . This book was released on 2002-11-01 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Mathematics for Informatics and Computer Science written by Pierre Audibert and published by John Wiley & Sons. This book was released on 2013-03-01 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: How many ways do exist to mix different ingredients, how many chances to win a gambling game, how many possible paths going from one place to another in a network ? To this kind of questions Mathematics applied to computer gives a stimulating and exhaustive answer. This text, presented in three parts (Combinatorics, Probability, Graphs) addresses all those who wish to acquire basic or advanced knowledge in combinatorial theories. It is actually also used as a textbook. Basic and advanced theoretical elements are presented through simple applications like the Sudoku game, search engine algorithm and other easy to grasp applications. Through the progression from simple to complex, the teacher acquires knowledge of the state of the art of combinatorial theory. The non conventional simultaneous presentation of algorithms, programs and theory permits a powerful mixture of theory and practice. All in all, the originality of this approach gives a refreshing view on combinatorial theory.
Download or read book Th orie des probabilit s written by Charles-Edouard Pfister and published by EPFL Press. This book was released on 2012-01-01 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cet ouvrage constitue une première introduction à la théorie des probabilités. A la fois rigoureux et didactique, il présente l'ensemble des notions et outils de base, et de manière approfondie, les deux théorèmes fondamentaux que sont la loi des grands nombres et le théorème de la limite centrale. Certains sujets, comme celui de l'espérance d'une variable aléatoire, sont traités plus en détail qu'usuellement dans un texte d'introduction. La théorie ainsi développée est appliquée d'une part à l'étude des chaînes de Markov, marches aléatoires et au modèle d'Ising, et d'autre part à des sujets classiques de statistique mathématique, estimations, tests, populations normalement distribuées. Les résultats sont démontrés dans leur intégralité, et de nombreux exemples jalonnent le texte. Cette référence s'adresse principalement aux étudiants de physique ou de mathématiques des universités et grandes écoles, maîtrisant au préalable les bases du calcul différentiel et intégral.
Download or read book Introduction to Probability and Statistics written by Janet Susan Milton and published by McGraw-Hill Science, Engineering & Mathematics. This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Probability with R written by Jane M. Horgan and published by John Wiley & Sons. This book was released on 2011-09-30 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Complete Introduction to probability AND its computer Science Applications USING R Probability with R serves as a comprehensive and introductory book on probability with an emphasis on computing-related applications. Real examples show how probability can be used in practical situations, and the freely available and downloadable statistical programming language R illustrates and clarifies the book's main principles. Promoting a simulation- and experimentation-driven methodology, this book highlights the relationship between probability and computing in five distinctive parts: The R Language presents the essentials of the R language, including key procedures for summarizing and building graphical displays of statistical data. Fundamentals of Probability provides the foundations of the basic concepts of probability and moves into applications in computing. Topical coverage includes conditional probability, Bayes' theorem, system reliability, and the development of the main laws and properties of probability. Discrete Distributions addresses discrete random variables and their density and distribution functions as well as the properties of expectation. The geometric, binomial, hypergeometric, and Poisson distributions are also discussed and used to develop sampling inspection schemes. Continuous Distributions introduces continuous variables by examining the waiting time between Poisson occurrences. The exponential distribution and its applications to reliability are investigated, and the Markov property is illustrated via simulation in R. The normal distribution is examined and applied to statistical process control. Tailing Off delves into the use of Markov and Chebyshev inequalities as tools for estimating tail probabilities with limited information on the random variable. Numerous exercises and projects are provided in each chapter, many of which require the use of R to perform routine calculations and conduct experiments with simulated data. The author directs readers to the appropriate Web-based resources for installing the R software package and also supplies the essential commands for working in the R workspace. A related Web site features an active appendix as well as a forum for readers to share findings, thoughts, and ideas. With its accessible and hands-on approach, Probability with R is an ideal book for a first course in probability at the upper-undergraduate and graduate levels for readers with a background in computer science, engineering, and the general sciences. It also serves as a valuable reference for computing professionals who would like to further understand the relevance of probability in their areas of practice.
Download or read book Graphs and Questionnaires written by and published by Elsevier. This book was released on 1980-01-01 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graphs and Questionnaires
Download or read book Introduction to Probability and Statistics written by Jill S. Alcorn and published by . This book was released on 1995 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction aux probabilit s et la statistique written by Esther Amiot and published by Boucherville, Québec : G. Morin. This book was released on 1990-01 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Probabilit s en vue des applications introduction aux processus et la statist written by Valérie Girardin and published by . This book was released on 2008 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ce cours complet contient les bases théoriques rigoureuses des probabilités et de leurs applications : fiabilité, information et risque. Il est illustré par plus de deux cents exemples au fil du texte, par quatre-vingt-onze exercices résolus et par trente-et-un problèmes de synthèse. Il est complété d'un index (un millier d'entrées) et d'une bibliographie classée. Ce volume correspond au programme du Master de mathématiques (M1 et M2, ingénierie, économie, biologie) et recouvre le programme de l'option probabilités et statistiques de l'agrégation de mathématiques. Le premier volume correspond au programme de la troisième année de Licence de mathématiques et au programme de probabilités du CAPES et de l'agrégation.
Download or read book Introduction aux probabilit s et la statistique written by Nicole Brillouet-Belluot and published by . This book was released on 2008 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Probability Statistics and Queueing Theory written by Arnold O. Allen and published by Academic Press. This book was released on 2014-06-28 with total page 765 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a textbook on applied probability and statistics with computer science applications for students at the upper undergraduate level. It may also be used as a self study book for the practicing computer science professional. The successful first edition of this book proved extremely useful to students who need to use probability, statistics and queueing theory to solve problems in other fields, such as engineering, physics, operations research, and management science. The book has also been successfully used for courses in queueing theory for operations research students. This second edition includes a new chapter on regression as well as more than twice as many exercises at the end of each chapter. While the emphasis is the same as in the first edition, this new book makes more extensive use of available personal computer software, such as Minitab and Mathematica.
Download or read book Hasard et probabilit s written by Philippe Picard and published by . This book was released on 2007 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Une introduction à la science des probabilités riche de récits, anecdotes et éléments biographiques. L'auteur a évité de recourir au langage mathématique spécialisé et a organisé l'ouvrage de façon chronologique. Il analyse aussi des concepts essentiels tels que le hasard, la probabilité, l'espérance ou l'équité.
