Download or read book Statistique math matique et statistique des processus Collection m thodes stochastiques appliqu es written by BOSQ Denis and published by Lavoisier. This book was released on 2012-06-01 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: La plupart des manuels de statistique traitent seulement le cas des variables indépendantes et de même loi. Or, dans les applications, les variables observées sont très souvent corrélées. Les exemples sont nombreux en physique, chimie, biologie, économie, démographie ou finance. Pour combler cette lacune, cet ouvrage étudie la modélisation mathématique des phénomènes statistiques et s'intéresse plus particulièrement à la statistique des processus. Didactique et illustré de nombreux exercices, il comporte trois parties : la statistique mathématique, basée sur la théorie de la décision et le point de vue asymptotique, la statistique des processus à temps discret (processus ARMA) et à temps continu (processus de Poisson, processus de diffusion) et des compléments de probabilités. Statistique mathématique et statistique des processus s'adresse aux étudiants de master et aux élèves des grandes écoles. L'auteur Denis Bosq est professeur émérite à l'Université Pierre et Marie Curie. Il est l'auteur de nombreux articles et livres de recherche en statistique.
Download or read book Probability and Mathematical Statistics written by Eugene Lukacs and published by Academic Press. This book was released on 2014-05-10 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability and Mathematical Statistics: An Introduction provides a well-balanced first introduction to probability theory and mathematical statistics. This book is organized into two sections encompassing nine chapters. The first part deals with the concept and elementary properties of probability space, and random variables and their probability distributions. This part also considers the principles of limit theorems, the distribution of random variables, and the so-called student's distribution. The second part explores pertinent topics in mathematical statistics, including the concept of sampling, estimation, and hypotheses testing. This book is intended primarily for undergraduate statistics students.
Download or read book An Introduction to Probability and Statistics Using Basic written by Richard A. Groeneveld and published by CRC Press. This book was released on 2020-09-25 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume introduces the theoretical ideas in probability and statistics by means of examples. The strengths of the BASIC computer language are exploited to illustrate probabilistic and statistical ideas. Topics described by the Committee on the Under-graduate Program in Mathematics are included.
Download or read book Introduction to Mathematical Statistics written by Carl Joseph West and published by . This book was released on 1918 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Mathematical Statistics written by Leopold Schmetterer and published by Springer. This book was released on 1974 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Introduction to Probability and Mathematical Statistics written by Howard G. Tucker and published by Academic Press. This book was released on 2014-05-12 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Probability and Mathematical Statistics provides information pertinent to the fundamental aspects of probability and mathematical statistics. This book covers a variety of topics, including random variables, probability distributions, discrete distributions, and point estimation. Organized into 13 chapters, this book begins with an overview of the definition of function. This text then examines the notion of conditional or relative probability. Other chapters consider Cochran's theorem, which is of extreme importance in that part of statistical inference known as analysis of variance. This book discusses as well the fundamental principles of testing statistical hypotheses by providing the reader with an idea of the basic problem and its relation to practice. The final chapter deals with the problem of estimation and the Neyman theory of confidence intervals. This book is a valuable resource for undergraduate university students who are majoring in mathematics. Students who are majoring in physics and who are inclined toward abstract mathematics will also find this book useful.
Download or read book An Introduction to Mathematical Statistics and Its Applications written by Richard J. Larsen and published by Pearson. This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Noted for its integration of real-world data and case studies, this text offers sound coverage of the theoretical aspects of mathematical statistics. The authors demonstrate how and when to use statistical methods, while reinforcing the calculus that students have mastered in previous courses. Throughout the Fifth Edition, the authors have added and updated examples and case studies, while also refining existing features that show a clear path from theory to practice.
Download or read book Introduction to Mathematical Statistics written by L. Schmetterer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: To Mathematical Statistics Translated from the German by Kenneth Wickwire Springer-Verlag Berlin Heidelberg New York 1974 Leopold Schmetterer Professor of Statistics and Mathematics at the University of Vienna Translator: Kenneth Wickwire Department of Mathematics, University of Manchester Title of the German Original Edition: Einfiihrung in die mathematische Statistik, 2. verbesserte und wesentlich erweiterte Auflage Springer-Verlag Wien New York 1966 With 11 figures AMS Subject Classification (1970): 62-01, 62 Axx, 62 Bxx, 62 Cxx, 62D03, 62 Exx, 62 Fxx, 62 Gxx, 62 Hxx ISBN-13: 978-3-642-65544-9 e-ISBN-13: 978-3-642-65542-5 DOl: 10. 1007/978-3-642-65542-5 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically those of translation, reprinting, re-use of illustrations, broadcasting, reproduction by photocopying machine or similar means, and storage in data banks. Under {sect}54 of the German Copyright Law where copies are made for other than private use, a fee is payable to the publisher, the amount of the fee to be determined by agreement with the publisher. © by Springer-Verlag Berlin· Heidelberg 1974. Library of Congress Catalog Card Number 73-15290. Softcover reprint of the hardcover 1 st edition 1974 Bookbinding: Konrad Triltsch, Wiirzburg. Preface I have used the opportunity of the second edition of the German version being translated into English to alter and improve some details. Of course I tried to correct misprints and errata of the original version. Moreover some proofs have been slightly changed and I hope thereby improved.
Download or read book Introduction to Mathematical Statistics written by Paul G. Hoel and published by New York : J. Wiley ; London : Chapman & Hall. This book was released on 1966 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: A balanced presentation of both theoretical and applied material with numerous problem sets to illustrate important concepts. Demonstrates the use of computers and calculators to facilitate problem solving, as well as numerous applications to illustrate basic theory.
Download or read book Introduction to Mathematical Statistics written by Robert V. Hogg and published by . This book was released on 1995 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fifth edition of text offers a careful presentation of the probability needed for mathematical statistics and the mathematics of statistical inference. Offering a background for those who wish to go on to study statistical applications or more advanced theory, this text presents a thorough treatment of the mathematics of statistics.
Download or read book An Introduction to the Mathematical Analysis of Statistics written by Chester Hume Forsyth and published by . This book was released on 1924 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Mathematical Statistics and Its Applications written by Richard J. Larsen and published by Pearson Higher Ed. This book was released on 2013-08-28 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: Noted for its integration of real-world data and case studies, this text offers sound coverage of the theoretical aspects of mathematical statistics. The authors demonstrate how and when to use statistical methods, while reinforcing the calculus that students have mastered in previous courses. Throughout the 5th Edition, the authors have added and updated examples and case studies, while also refining existing features that show a clear path from theory to practice. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Download or read book Probability written by John J. Kinney and published by John Wiley & Sons. This book was released on 2014-12-08 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition "This is a well-written and impressively presented introduction to probability and statistics. The text throughout is highly readable, and the author makes liberal use of graphs and diagrams to clarify the theory." - The Statistician Thoroughly updated, Probability: An Introduction with Statistical Applications, Second Edition features a comprehensive exploration of statistical data analysis as an application of probability. The new edition provides an introduction to statistics with accessible coverage of reliability, acceptance sampling, confidence intervals, hypothesis testing, and simple linear regression. Encouraging readers to develop a deeper intuitive understanding of probability, the author presents illustrative geometrical presentations and arguments without the need for rigorous mathematical proofs. The Second Edition features interesting and practical examples from a variety of engineering and scientific fields, as well as: Over 880 problems at varying degrees of difficulty allowing readers to take on more challenging problems as their skill levels increase Chapter-by-chapter projects that aid in the visualization of probability distributions New coverage of statistical quality control and quality production An appendix dedicated to the use of Mathematica® and a companion website containing the referenced data sets Featuring a practical and real-world approach, this textbook is ideal for a first course in probability for students majoring in statistics, engineering, business, psychology, operations research, and mathematics. Probability: An Introduction with Statistical Applications, Second Edition is also an excellent reference for researchers and professionals in any discipline who need to make decisions based on data as well as readers interested in learning how to accomplish effective decision making from data.
Download or read book Introduction to Mathematical Statistics written by Robert V. Hogg and published by Pearson Higher Ed. This book was released on 2012-02-28 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Introduction to Mathematical Statistics, Seventh Edition, offers a proven approach designed to provide you with an excellent foundation in mathematical statistics. Ample examples and exercises throughout the text illustrate concepts to help you gain a solid understanding of the material.
Download or read book An Introduction to Mathematical Statistics written by H. D. Brunk and published by . This book was released on 1965 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elementary probability spaces; General probability spaces; Random variables; Multivariate distributions; The algebra of expectations; Random sampling; The law of large numbers; Estimation of parameters; Central limit theorem; Confidence intervals and tests of hypotheses; Decision theory and bayesian inference; Regression; Sampling from a normal population; Testing hypotheses; Experimental design and analysis of variance; Other sampling methods; Distribution-free methods; Tables.
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 Statistics written by David W. Scott and published by John Wiley & Sons. This book was released on 2020-07-20 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistic: A Concise Mathematical Introduction for Students and Scientists offers a one academic term text that prepares the student to broaden their skills in statistics, probability and inference, prior to selecting their follow-on courses in their chosen fields, whether it be engineering, computer science, programming, data sciences, business or economics. The book places focus early on continuous measurements, as well as discrete random variables. By invoking simple and intuitive models and geometric probability, discrete and continuous experiments and probabilities are discussed throughout the book in a natural way. Classical probability, random variables, and inference are discussed, as well as material on understanding data and topics of special interest. Topics discussed include: • Classical equally likely outcomes • Variety of models of discrete and continuous probability laws • Likelihood function and ratio • Inference • Bayesian statistics With the growth in the volume of data generated in many disciplines that is enabling the growth in data science, companies now demand statistically literate scientists and this textbook is the answer, suited for undergraduates studying science or engineering, be it computer science, economics, life sciences, environmental, business, amongst many others. Basic knowledge of bivariate calculus, R language, Matematica and JMP is useful, however there is an accompanying website including sample R and Mathematica code to help instructors and students.
