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Groundwork Of Mathematical Probability And Statistics
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Book Synopsis Groundwork of Mathematical Probability and Statistics by : Amritava Gupta
Download or read book Groundwork of Mathematical Probability and Statistics written by Amritava Gupta and published by Academic Publishers. This book was released on 1983 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Ground Work of Mathematical Probability and Statistics by : Gupta Amritava
Download or read book Ground Work of Mathematical Probability and Statistics written by Gupta Amritava and published by . This book was released on 1983 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Foundations of Probability and Mathematical Statistics by : Rand Corporation
Download or read book Foundations of Probability and Mathematical Statistics written by Rand Corporation and published by . This book was released on 1970 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Foundations of Probability by : Alfred Renyi
Download or read book Foundations of Probability written by Alfred Renyi and published by Courier Corporation. This book was released on 2007-01-01 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing many innovations in content and methods, this book involves the foundations, basic concepts, and fundamental results of probability theory. Geared toward readers seeking a firm basis for study of mathematical statistics or information theory, it also covers the mathematical notions of experiments and independence. 1970 edition.
Book Synopsis 40 Puzzles and Problems in Probability and Mathematical Statistics by : Wolf Schwarz
Download or read book 40 Puzzles and Problems in Probability and Mathematical Statistics written by Wolf Schwarz and published by Springer Science & Business Media. This book was released on 2007-11-25 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on the view that cognitive skills are best acquired by solving challenging, non-standard probability problems. Many puzzles and problems presented here are either new within a problem solving context (although as topics in fundamental research they are long known) or are variations of classical problems which follow directly from elementary concepts. A small number of particularly instructive problems is taken from previous sources which in this case are generally given. This book will be a handy resource for professors looking for problems to assign, for undergraduate math students, and for a more general audience of amateur scientists.
Download or read book Uncertainty written by William Briggs and published by Springer. This book was released on 2016-07-15 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book devoted to the philosophy of data aimed at working scientists and calls for a new consideration in the practice of probability and statistics to eliminate what has been referred to as the "Cult of Statistical Significance." The book explains the philosophy of these ideas and not the mathematics, though there are a handful of mathematical examples. The topics are logically laid out, starting with basic philosophy as related to probability, statistics, and science, and stepping through the key probabilistic ideas and concepts, and ending with statistical models. Its jargon-free approach asserts that standard methods, such as out-of-the-box regression, cannot help in discovering cause. This new way of looking at uncertainty ties together disparate fields — probability, physics, biology, the “soft” sciences, computer science — because each aims at discovering cause (of effects). It broadens the understanding beyond frequentist and Bayesian methods to propose a Third Way of modeling.
Book Synopsis Foundations of Probability and Statistics by :
Download or read book Foundations of Probability and Statistics written by and published by . This book was released on 1977 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Probability, Statistics and Econometrics by : Oliver Linton
Download or read book Probability, Statistics and Econometrics written by Oliver Linton and published by Academic Press. This book was released on 2017-03-04 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability, Statistics and Econometrics provides a concise, yet rigorous, treatment of the field that is suitable for graduate students studying econometrics, very advanced undergraduate students, and researchers seeking to extend their knowledge of the trinity of fields that use quantitative data in economic decision-making. The book covers much of the groundwork for probability and inference before proceeding to core topics in econometrics. Authored by one of the leading econometricians in the field, it is a unique and valuable addition to the current repertoire of econometrics textbooks and reference books. Synthesizes three substantial areas of research, ensuring success in a subject matter than can be challenging to newcomers Focused and modern coverage that provides relevant examples from economics and finance Contains some modern frontier material, including bootstrap and lasso methods not treated in similar-level books Collects the necessary material for first semester Economics PhD students into a single text
Book Synopsis Chance, Luck, and Statistics by : Horace C. Levinson
Download or read book Chance, Luck, and Statistics written by Horace C. Levinson and published by Courier Corporation. This book was released on 2001-01-01 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: In simple, non-technical language, this volume explores the fundamentals governing chance and applies them to sports, government, and business. Topics includenbsp;the theory of probability in relation to superstitions, betting odds, warfare,nbsp;social problems, stocks, and other areas. "Clear and lively ...nbsp;remarkably accurate." —Scientific Monthly.
Book Synopsis Foundations of the Theory of Probability by : A.N. Kolmogorov
Download or read book Foundations of the Theory of Probability written by A.N. Kolmogorov and published by Courier Dover Publications. This book was released on 2018-04-18 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: This famous little book remains a foundational text for the understanding of probability theory, important both to students beginning a serious study of probability and to historians of modern mathematics. 1956 second edition.
Book Synopsis The Foundations of Statistics by : Leonard J. Savage
Download or read book The Foundations of Statistics written by Leonard J. Savage and published by Courier Corporation. This book was released on 2012-08-29 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classic analysis of the foundations of statistics and development of personal probability, one of the greatest controversies in modern statistical thought. Revised edition. Calculus, probability, statistics, and Boolean algebra are recommended.
Book Synopsis Probability and Statistics by : Michael J. Evans
Download or read book Probability and Statistics written by Michael J. Evans and published by Macmillan. This book was released on 2004 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. They'll get a thorough grounding in probability theory, and go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Bayesian inference is developed as a logical extension of likelihood methods. A separate chapter is devoted to the important topic of model checking and this is applied in the context of the standard applied statistical techniques. Examples of data analyses using real-world data are presented throughout the text. A final chapter introduces a number of the most important stochastic process models using elementary methods. *Note: An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.
Book Synopsis The Foundations of Probability and Mathematical Statistics by : Gus W. Haggstrom
Download or read book The Foundations of Probability and Mathematical Statistics written by Gus W. Haggstrom and published by . This book was released on 1975 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: These notes were written for an introductory course in probability and statistics at the post-calculus level that was presented during the fall term of 1974 to students in the Rand Graduate Institute. Most of the material is devoted to the basic concepts of probability theory that are prerequisite to learning mathematical statistics: probability models, random variables, expectation and variance, joint distributions, conditioning, correlation, and sampling theory. Among the distributions treated are the binomial, hypergeometric, Poisson, negative binomial, normal, gamma, lognormal, chi-square, and bivariate normal. The last section of the notes provides an introduction to some of the basic notions of parameter estimation: bias, efficiency, sufficiency, completeness, consistency, maximum likelihood, and least-squares estimation. Proofs of the Rao-Blackwell, Lehmann-Scheffe, and Gauss-Markov Theorems are included.
Book Synopsis Principles of Statistics by : M. G. Bulmer
Download or read book Principles of Statistics written by M. G. Bulmer and published by Courier Corporation. This book was released on 2012-04-26 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concise description of classical statistics, from basic dice probabilities to modern regression analysis. Equal stress on theory and applications. Moderate difficulty; only basic calculus required. Includes problems with answers.
Book Synopsis An Introduction to Probability and Statistics by : Vijay K. Rohatgi
Download or read book An Introduction to Probability and Statistics written by Vijay K. Rohatgi and published by John Wiley & Sons. This book was released on 2015-09-01 with total page 722 pages. Available in PDF, EPUB and Kindle. Book excerpt: A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics. An Introduction to Probability and Statistics, Third Edition includes: A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics Additional topical coverage on bootstrapping, estimation procedures, and resampling Discussions on invariance, ancillary statistics, conjugate prior distributions, and invariant confidence intervals Over 550 problems and answers to most problems, as well as 350 worked out examples and 200 remarks Numerous figures to further illustrate examples and proofs throughout An Introduction to Probability and Statistics, Third Edition is an ideal reference and resource for scientists and engineers in the fields of statistics, mathematics, physics, industrial management, and engineering. The book is also an excellent text for upper-undergraduate and graduate-level students majoring in probability and statistics.
Book Synopsis Foundations of the Theory of Probability (Classic Reprint) by : A. N. KOLMOGOROV
Download or read book Foundations of the Theory of Probability (Classic Reprint) written by A. N. KOLMOGOROV and published by Forgotten Books. This book was released on 2017-11-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Excerpt from Foundations of the Theory of Probability The purpose of this monograph is to give an axiomatic foundation for the theory of probability. The author set himself the task of putting in the1r natural place, among the general notions of modern mathematics, the basic concepts of probability theory - concepts which until recently were considered to be quite peculiar. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Book Synopsis Fisher, Neyman, and the Creation of Classical Statistics by : Erich L. Lehmann
Download or read book Fisher, Neyman, and the Creation of Classical Statistics written by Erich L. Lehmann and published by Springer Science & Business Media. This book was released on 2011-07-25 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classical statistical theory—hypothesis testing, estimation, and the design of experiments and sample surveys—is mainly the creation of two men: Ronald A. Fisher (1890-1962) and Jerzy Neyman (1894-1981). Their contributions sometimes complemented each other, sometimes occurred in parallel, and, particularly at later stages, often were in strong opposition. The two men would not be pleased to see their names linked in this way, since throughout most of their working lives they detested each other. Nevertheless, they worked on the same problems, and through their combined efforts created a new discipline. This new book by E.L. Lehmann, himself a student of Neyman’s, explores the relationship between Neyman and Fisher, as well as their interactions with other influential statisticians, and the statistical history they helped create together. Lehmann uses direct correspondence and original papers to recreate an historical account of the creation of the Neyman-Pearson Theory as well as Fisher’s dissent, and other important statistical theories.