Probabilités, statistique et applications PDF Download

Author: Mario Lefebvre
Publisher: Presses inter Polytechnique
ISBN: 2553015542
Category : Mathematics
Languages : fr
Pages : 562

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Book Description
Le livre Probabilités, statistique et applications sʹadresse dʹabord aux étudiants de premier cycle en génie et en sciences appliquées, toutes spécialités confondues, car il présente la théorie généralement enseignée dans un cours sur les probabilités et la statistique. Comme il traite de tous les sujets essentiels de cette discipline, il constitue un excellent manuel de classe.--[Memento].

Author: Jean-Nicolas Pépin
Publisher:
ISBN: 9782766156979
Category : Probabilities
Languages : fr
Pages : 0

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Book Description
"Conforme à la nouvelle compétence du programme de sciences de la nature "Résoudre des problèmes liés aux sciences de la nature par l'utilisation de méthodes statistiques et de concepts de probabilités (S1(B, Probabilités et statistique : applications en sciences de la nature a été conçu avec la volonté d'initier les lecteurs et les lectrices aux principaux outils statistiques et probabilistes. L'analyse et l'interprétation de données n'auront plus de secrets pour ces étudiantes et ces étudiants amenés à poursuivre des études universitaires. Pour faciliter la compréhension des concepts et afin de démontrer l'utilité des méthodes statistiques, l'ouvrage mise sur une vulgarisation des concepts et propose une multitude d'exemples provenant de diverses disciplines des sciences de la nature et de plusieurs autres domaines. Probabilités et statistique : applications en sciences de la nature offre une approche pédagogique qui facilitera le travail des enseignants et des enseignantes tout en favorisant la réussite des étudiants et des étudiantes."--

Author: Rinaldo B. Schinazi
Publisher: Springer Science & Business Media
ISBN: 0817682503
Category : Mathematics
Languages : en
Pages : 349

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Book Description
This second edition textbook offers a practical introduction to probability for undergraduates at all levels with different backgrounds and views towards applications. Calculus is a prerequisite for understanding the basic concepts, however the book is written with a sensitivity to students’ common difficulties with calculus that does not obscure the thorough treatment of the probability content. The first six chapters of this text neatly and concisely cover the material traditionally required by most undergraduate programs for a first course in probability. The comprehensive text includes a multitude of new examples and exercises, and careful revisions throughout. Particular attention is given to the expansion of the last three chapters of the book with the addition of one entirely new chapter (9) on ’Finding and Comparing Estimators.’ The classroom-tested material presented in this second edition forms the basis for a second course introducing mathematical statistics.

Author: Asha Seth Kapadia
Publisher: CRC Press
ISBN: 1420056476
Category : Mathematics
Languages : en
Pages : 648

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Book Description
Mathematical statistics typically represents one of the most difficult challenges in statistics, particularly for those with more applied, rather than mathematical, interests and backgrounds. Most textbooks on the subject provide little or no review of the advanced calculus topics upon which much of mathematical statistics relies and furthermore contain material that is wholly theoretical, thus presenting even greater challenges to those interested in applying advanced statistics to a specific area. Mathematical Statistics with Applications presents the background concepts and builds the technical sophistication needed to move on to more advanced studies in multivariate analysis, decision theory, stochastic processes, or computational statistics. Applications embedded within theoretical discussions clearly demonstrate the utility of the theory in a useful and relevant field of application and allow readers to avoid sudden exposure to purely theoretical materials. With its clear explanations and more than usual emphasis on applications and computation, this text reaches out to the many students and professionals more interested in the practical use of statistics to enrich their work in areas such as communications, computer science, economics, astronomy, and public health.

Author: Rinaldo Bruno Schinazi
Publisher: Springer Science & Business Media
ISBN: 9780817642471
Category : Mathematics
Languages : en
Pages : 246

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Book Description
This concise text is intended for a one-semester course, and offers a practical introduction to probability for undergraduates at all levels with different backgrounds and views towards applications. Only basiccalculus is required. However, the book is written so that the calculus difficulties of students do not obscure the probability content in the first six chapters. Thus, the exposition initially focuses on fundamental probability concepts and an easy introduction to statistics. Theory is kept to a minimum here, the striking feature being numerous exercises and examples. Chapters 7 and 8 rely heavily on the calculus of one and several variables to study sums of random variables (via moment generating functions), transformations of random variables (using distribution functions) and transformations of random vectors. In Chapter 8 a number of facts are proved with respect to expectation, variance and covariance, and normal samples. In recent years there has been an increasing need for teaching some statistics in an introductory probability course. Many undergraduate programs in biology, computer science, engineering, physics and mathematics have traditionally required such a cour

Author: Wilfried Grossmann
Publisher: Springer Science & Business Media
ISBN: 9789027725479
Category : Mathematics
Languages : en
Pages : 482

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Book Description
Proceedings of the 5th Pannonian Symposium, Visegrad, Hungary, May 20-24, 1985

Author: Géza Schay
Publisher: Birkhäuser
ISBN: 3319306200
Category : Mathematics
Languages : en
Pages : 389

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Book Description
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)

Author: Frederick Mosteller
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 514

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Book Description
Probability and statistics: the atudy of variability: Permutations combinations,and the binomial theorem; Probability: equally likely outcomes; General theory of probability for discrete sample spaces; Numbers determined by experiments: random variables; Variability: mesures of spread; Joint distributins and binomial distribution by the normal: The central limit theorem; Some statistical applications probability; Theory of sanpling. Variances of suns and of avesages; Least squares, curve-fitting, and regression; Statistical inference for measuded variales; Projects for high-speed computers.

Author: Bhisham C Gupta
Publisher: John Wiley & Sons
ISBN: 1118522206
Category : Mathematics
Languages : en
Pages : 898

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Book Description
Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.

Author: Enders A. Robinson
Publisher: Springer Science & Business Media
ISBN: 9400953860
Category : Mathematics
Languages : en
Pages : 421

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Book Description
Probability theory and its applications represent a discipline of fun damental importance to nearly all people working in the high-tech nology world that surrounds us. There is increasing awareness that we should ask not "Is it so?" but rather "What is the probability that it is so?" As a result, most colleges and universities require a course in mathematical probability to be given as part of the undergraduate training of all scientists, engineers, and mathematicians. This book is a text for a first course in the mathematical theory of probability for undergraduate students who have the prerequisite of at least two, and better three, semesters of calculus. In particular, the student must have a good working knowledge of power series expan sions and integration. Moreover, it would be helpful if the student has had some previous exposure to elementary probability theory, either in an elementary statistics course or a finite mathematics course in high school or college. If these prerequisites are met, then a good part of the material in this book can be covered in a semester (IS-week) course that meets three hours a week.