Problems In Probability Theory Mathematical Statistics And Theory Of Random Functions PDF Download
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| Author | : A. A. Sveshnikov |
| Publisher | : Courier Corporation |
| Total Pages | : 512 |
| Release | : 2012-04-30 |
| Genre | : Mathematics |
| ISBN | : 0486137562 |
Download Problems in Probability Theory, Mathematical Statistics and Theory of Random Functions Book in PDF, ePub and Kindle
Approximately 1,000 problems — with answers and solutions included at the back of the book — illustrate such topics as random events, random variables, limit theorems, Markov processes, and much more.
| Author | : Aram Arutiunovich Sveshnikov |
| Publisher | : |
| Total Pages | : 481 |
| Release | : 1978 |
| Genre | : |
| ISBN | : |
Download Problems in Probability Theory, Mathematical Statistics, and Theory of Random Functions Book in PDF, ePub and Kindle
| Author | : T M Mills |
| Publisher | : World Scientific Publishing Company |
| Total Pages | : 192 |
| Release | : 2013-10-22 |
| Genre | : Mathematics |
| ISBN | : 9814551473 |
Download Problems in Probability Book in PDF, ePub and Kindle
This is a book of problems in probability and their solutions. The work has been written for undergraduate students who have a background in calculus and wish to study probability. Probability theory is a key part of contemporary mathematics. The subject plays a key role in the insurance industry, modelling financial markets, and statistics in general — including all those fields of endeavour to which statistics is applied (e.g. health, physical sciences, engineering, economics, social sciences). Every student majoring in mathematics at university ought to take a course on probability or mathematical statistics. Probability is now a standard part of high school mathematics, and teachers ought to be well versed and confident in the subject. Problem solving is important in mathematics. This book combines problem solving and probability.
| Author | : A.N. Shiryayev |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 618 |
| Release | : 1992-02-29 |
| Genre | : Mathematics |
| ISBN | : 902772797X |
Download Selected Works of A. N. Kolmogorov Book in PDF, ePub and Kindle
The creative work of Andrei N. Kolmogorov is exceptionally wide-ranging. In his studies on trigonometric and orthogonal series, the theory of measure and integral, mathematical logic, approximation theory, geometry, topology, functional analysis, classical mechanics, ergodic theory, superposition of functions, and in formation theory, he solved many conceptual and fundamental problems and posed new questions which gave rise to a great deal of further research. Kolmogorov is one of the founders of the Soviet school of probability theory, mathematical statistics, and the theory of turbulence. In these areas he obtained a number of central results, with many applications to mechanics, geophysics, linguistics and biology, among other subjects. This edition includes Kolmogorov's most important papers on mathematics and the natural sciences. It does not include his philosophical and pedagogical studies, his articles written for the "Bolshaya Sovetskaya Entsiklopediya", his papers on prosody and applications of mathematics or his publications on general questions. The material of this edition was selected and compiled by Kolmogorov himself. The first volume consists of papers on mathematics and also on turbulence and classical mechanics. The second volume is devoted to probability theory and mathematical statistics. The focus of the third volume is on information theory and the theory of algorithms.
| Author | : L.D. Meshalkin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 156 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 9401023581 |
Download Collection of problems in probability theory Book in PDF, ePub and Kindle
The Russian version of A collection of problems in probability theory contains a chapter devoted to statistics. That chapter has been omitted in this translation because, in the opinion of the editor, its content deviates somewhat from that which is suggested by the title: problems in pro bability theory. The original Russian version contains some errors; an attempt was made to correct all errors found, but perhaps a few stiII remain. An index has been added for the convenience of the reader who may be searching for a definition, a classical problem, or whatever. The index lists pages as well as problems where the indexed words appear. The book has been translated and edited with the hope of leaving as much "Russian flavor" in the text and problems as possible. Any pecu liarities present are most likely a result of this intention. August, 1972 Bryan A. Haworth viii Foreword to the Russian edition This Collection of problems in probability theory is primarily intended for university students in physics and mathematics departments. Its goal is to help the student of probability theory to master the theory more pro foundly and to acquaint him with the application of probability theory methods to the solution of practical problems. This collection is geared basically to the third edition of the GNEDENKO textbook Course in proba bility theory, Fizmatgiz, Moscow (1961), Probability theory, Chelsea (1965).
| Author | : V. S. Pugachev |
| Publisher | : Elsevier |
| Total Pages | : 469 |
| Release | : 2014-06-28 |
| Genre | : Mathematics |
| ISBN | : 1483190501 |
Download Probability Theory and Mathematical Statistics for Engineers Book in PDF, ePub and Kindle
Probability Theory and Mathematical Statistics for Engineers focuses on the concepts of probability theory and mathematical statistics for finite-dimensional random variables. The book underscores the probabilities of events, random variables, and numerical characteristics of random variables. Discussions focus on canonical expansions of random vectors, second-order moments of random vectors, generalization of the density concept, entropy of a distribution, direct evaluation of probabilities, and conditional probabilities. The text then examines projections of random vectors and their distributions, including conditional distributions of projections of a random vector, conditional numerical characteristics, and information contained in random variables. The book elaborates on the functions of random variables and estimation of parameters of distributions. Topics include frequency as a probability estimate, estimation of statistical characteristics, estimation of the expectation and covariance matrix of a random vector, and testing the hypotheses on the parameters of distributions. The text then takes a look at estimator theory and estimation of distributions. The book is a vital source of data for students, engineers, postgraduates of applied mathematics, and other institutes of higher technical education.
| Author | : Richard von Mises |
| Publisher | : Academic Press |
| Total Pages | : 709 |
| Release | : 2014-05-12 |
| Genre | : Mathematics |
| ISBN | : 1483264025 |
Download Mathematical Theory of Probability and Statistics Book in PDF, ePub and Kindle
Mathematical Theory of Probability and Statistics focuses on the contributions and influence of Richard von Mises on the processes, methodologies, and approaches involved in the mathematical theory of probability and statistics. The publication first elaborates on fundamentals, general label space, and basic properties of distributions. Discussions focus on Gaussian distribution, Poisson distribution, mean value variance and other moments, non-countable label space, basic assumptions, operations, and distribution function. The text then ponders on examples of combined operations and summation of chance variables characteristic function. The book takes a look at the asymptotic distribution of the sum of chance variables and probability inference. Topics include inference from a finite number of observations, law of large numbers, asymptotic distributions, limit distribution of the sum of independent discrete random variables, probability of the sum of rare events, and probability density. The text also focuses on the introduction to the theory of statistical functions and multivariate statistics. The publication is a dependable source of information for researchers interested in the mathematical theory of probability and statistics
| Author | : Mary C. Meyer |
| Publisher | : SIAM |
| Total Pages | : 707 |
| Release | : 2019-06-24 |
| Genre | : Mathematics |
| ISBN | : 1611975786 |
Download Probability and Mathematical Statistics: Theory, Applications, and Practice in R Book in PDF, ePub and Kindle
This book develops the theory of probability and mathematical statistics with the goal of analyzing real-world data. Throughout the text, the R package is used to compute probabilities, check analytically computed answers, simulate probability distributions, illustrate answers with appropriate graphics, and help students develop intuition surrounding probability and statistics. Examples, demonstrations, and exercises in the R programming language serve to reinforce ideas and facilitate understanding and confidence. The book’s Chapter Highlights provide a summary of key concepts, while the examples utilizing R within the chapters are instructive and practical. Exercises that focus on real-world applications without sacrificing mathematical rigor are included, along with more than 200 figures that help clarify both concepts and applications. In addition, the book features two helpful appendices: annotated solutions to 700 exercises and a Review of Useful Math. Written for use in applied masters classes, Probability and Mathematical Statistics: Theory, Applications, and Practice in R is also suitable for advanced undergraduates and for self-study by applied mathematicians and statisticians and qualitatively inclined engineers and scientists.
| Author | : V. K. Rohatgi |
| Publisher | : Wiley-Interscience |
| Total Pages | : 704 |
| Release | : 1976-04-07 |
| Genre | : Mathematics |
| ISBN | : |
Download An Introduction to Probability Theory and Mathematical Statistics Book in PDF, ePub and Kindle
Sets and classes; Calculus; Linear Algebra; Probability; Random variables and their probability distributions; Moments and generating functions; Random vectors; Some special distributions; Limit theorems; Sample moments and their distributions; The theory of point estimation; Neyman-pearson theory of testing of hypotheses; Some further results on hypotheses testing; Confidence estimation; The general linear hypothesis; nonparametric statistical inference; Sequential statistical inference.
| Author | : Harold J. Larson |
| Publisher | : John Wiley & Sons |
| Total Pages | : 454 |
| Release | : 1974 |
| Genre | : Mathematics |
| ISBN | : |
Download Introduction to Probability Theory and Statistical Inference Book in PDF, ePub and Kindle
Discusses probability theory and to many methods used in problems of statistical inference. The Third Edition features material on descriptive statistics. Cramer-Rao bounds for variance of estimators, two-sample inference procedures, bivariate normal probability law, F-Distribution, and the analysis of variance and non-parametric procedures. Contains numerous practical examples and exercises.
