Download or read book Introduction la statistique written by Stephan Morgenthaler and published by PPUR Presses Polytechniques. This book was released on 2013-05-23 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: La 4e de couverture indique : "Première introduction en statistique et en probabilités, cet ouvrage traite les méthodes les plus courantes et donne une base théorique. Le contenu étant structuré en quatre parties, l'introduction (statistique exploratoire) consiste en une discussion sur les données susceptibles d'être soumises à une analyse statistique. La deuxième partie (calcul des probabilités) est une initiation concise au calcul des probabilités, d'abord pour les événements, ensuite pour des variables aléatoires. La troisième partie (idées fondamentales de la statistique) présente brièvement les approches majeures de la statistique, c'est-à-dire l'estimation et les méthodes inférentielles. Enfin, la dernière partie (méthodes statistiques aborde différents outils statistiques). Ouvrage de référence pour les étudiants ingénieurs (premier cours de statistique) et les chercheurs, complété par des exercices, il est conçu comme support pour un cours de deux semestres. Il peut également servir d'outil aux autodidactes intéressés par les bases et applications des méthodes statistiques."
Download or read book Introduction to Probability and Statistics written by Henry L. Alder and published by . This book was released on 1977 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Introduction to Statistical Learning written by Gareth James and published by Springer Nature. This book was released on 2023-08-01 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Download or read book Introductory Statistics written by Douglas S. Shafer and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Probability and Statistics written by Giri and published by Routledge. This book was released on 2019-01-22 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit theorems - and provides an introduction to various types of statistical problems, covering the broad range of statistical inference.;Requiring a prerequisite in calculus for complete understanding of the topics discussed, the Second Edition contains new material on: univariate distributions; multivariate distributions; large-sample methods; decision theory; and applications of ANOVA.;A primary text for a year-long undergraduate course in statistics (but easily adapted for a one-semester course in probability only), Introduction to Probability and Statistics is for undergraduate students in a wide range of disciplines-statistics, probability, mathematics, social science, economics, engineering, agriculture, biometry, and education.
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 Bulletin Mensuel de Statistique written by and published by . This book was released on 1920 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introductory Statistics with Applications in General Insurance written by I. B. Hossack and published by . This book was released on 1983 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: New edition of a very successful introduction to statistical methods for general insurance practitioners. Copyright © Libri GmbH. All rights reserved.
Download or read book Introduction to Statistics written by Wolfgang Karl Härdle and published by Springer. This book was released on 2015-12-25 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and estimation theory), and inferential statistics itself (confidence intervals, testing). Each chapter starts with the necessary theoretical background, which is followed by a variety of examples. The core examples are based on the content of the respective chapter, while the advanced examples, designed to deepen students’ knowledge, also draw on information and material from previous chapters. The enhanced online version helps students grasp the complexity and the practical relevance of statistical analysis through interactive examples and is suitable for undergraduate and graduate students taking their first statistics courses, as well as for undergraduate students in non-mathematical fields, e.g. economics, the social sciences etc.
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 Statistical Inference written by E. S. Keeping and published by Courier Dover Publications. This book was released on 1962 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Statistical Investigations written by Nathan Tintle and published by Wiley Global Education. This book was released on 2015-12-17 with total page 699 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Statistical Investigations leads students to learn about the process of conducting statistical investigations from data collection, to exploring data, to statistical inference, to drawing appropriate conclusions. The text is designed for a one-semester introductory statistics course. It focuses on genuine research studies, active learning, and effective use of technology. Simulations and randomization tests introduce statistical inference, yielding a strong conceptual foundation that bridges students to theory-based inference approaches. Repetition allows students to see the logic and scope of inference. This implementation follows the GAISE recommendations endorsed by the American Statistical Association.
Download or read book Bulletin Mensuelle de Statistique written by and published by . This book was released on 1919 with total page 976 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Statistics written by Ronald E. Walpole and published by . This book was released on 1974 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Probability and Statistics written by Bernard William Lindgren and published by . This book was released on 1969 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Statistics and Data Analysis written by Robert S. Lockhart and published by Macmillan. This book was released on 1998 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Introduction to Statistics and Data Analysis, Bob Lockhart emphasizes the link between statistical techniques and scientific discovery by focusing on evaluation and comparison of models. It is an intuitive view of statistics that views all methods as variants on a basic theme (evaluating models). Lockhart's realistic approach enables students to examine and question the methods and goals of statistics and to draw clear connections between statistical methods and the research process.
Download or read book Introduction to Statistics and Data Analysis written by Christian Heumann and published by Springer Nature. This book was released on 2023-01-30 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference. The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R, as well as supplementary material that will enable the reader to quickly adapt the methods to their own applications.
