Statistics And Probability Theory
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Author | : Michael J. Evans |
Publisher | : Macmillan |
Total Pages | : 704 |
Release | : 2004 |
Genre | : Mathematics |
ISBN | : 9780716747420 |
Download Probability and Statistics Book in PDF, Epub and Kindle
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.
Author | : Michael Havbro Faber |
Publisher | : Springer Science & Business Media |
Total Pages | : 198 |
Release | : 2012-03-26 |
Genre | : Technology & Engineering |
ISBN | : 9400740557 |
Download Statistics and Probability Theory Book in PDF, Epub and Kindle
This book provides the reader with the basic skills and tools of statistics and probability in the context of engineering modeling and analysis. The emphasis is on the application and the reasoning behind the application of these skills and tools for the purpose of enhancing decision making in engineering. The purpose of the book is to ensure that the reader will acquire the required theoretical basis and technical skills such as to feel comfortable with the theory of basic statistics and probability. Moreover, in this book, as opposed to many standard books on the same subject, the perspective is to focus on the use of the theory for the purpose of engineering model building and decision making. This work is suitable for readers with little or no prior knowledge on the subject of statistics and probability.
Author | : A. A. Sveshnikov |
Publisher | : Courier Corporation |
Total Pages | : 516 |
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 | : Anirban DasGupta |
Publisher | : Springer Science & Business Media |
Total Pages | : 726 |
Release | : 2008-03-07 |
Genre | : Mathematics |
ISBN | : 0387759700 |
Download Asymptotic Theory of Statistics and Probability Book in PDF, Epub and Kindle
This unique book delivers an encyclopedic treatment of classic as well as contemporary large sample theory, dealing with both statistical problems and probabilistic issues and tools. The book is unique in its detailed coverage of fundamental topics. It is written in an extremely lucid style, with an emphasis on the conceptual discussion of the importance of a problem and the impact and relevance of the theorems. There is no other book in large sample theory that matches this book in coverage, exercises and examples, bibliography, and lucid conceptual discussion of issues and theorems.
Author | : Richard Von Mises |
Publisher | : Courier Corporation |
Total Pages | : 273 |
Release | : 1981-01-01 |
Genre | : Mathematics |
ISBN | : 0486242145 |
Download Probability, Statistics, and Truth Book in PDF, Epub and Kindle
This comprehensive study of probability considers the approaches of Pascal, Laplace, Poisson, and others. It also discusses Laws of Large Numbers, the theory of errors, and other relevant topics.
Author | : Robert A. Barks |
Publisher | : |
Total Pages | : 222 |
Release | : 1972 |
Genre | : Mathematics |
ISBN | : |
Download Descriptive Statistics and Probability Theory Book in PDF, Epub and Kindle
Author | : Michael Havbro Faber |
Publisher | : Springer Science & Business Media |
Total Pages | : 198 |
Release | : 2012-03-23 |
Genre | : Technology & Engineering |
ISBN | : 9400740565 |
Download Statistics and Probability Theory Book in PDF, Epub and Kindle
This book provides the reader with the basic skills and tools of statistics and probability in the context of engineering modeling and analysis. The emphasis is on the application and the reasoning behind the application of these skills and tools for the purpose of enhancing decision making in engineering. The purpose of the book is to ensure that the reader will acquire the required theoretical basis and technical skills such as to feel comfortable with the theory of basic statistics and probability. Moreover, in this book, as opposed to many standard books on the same subject, the perspective is to focus on the use of the theory for the purpose of engineering model building and decision making. This work is suitable for readers with little or no prior knowledge on the subject of statistics and probability.
Author | : Werner Linde |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 410 |
Release | : 2016-10-24 |
Genre | : Mathematics |
ISBN | : 3110466198 |
Download Probability Theory Book in PDF, Epub and Kindle
This book is intended as an introduction to Probability Theory and Mathematical Statistics for students in mathematics, the physical sciences, engineering, and related fields. It is based on the author’s 25 years of experience teaching probability and is squarely aimed at helping students overcome common difficulties in learning the subject. The focus of the book is an explanation of the theory, mainly by the use of many examples. Whenever possible, proofs of stated results are provided. All sections conclude with a short list of problems. The book also includes several optional sections on more advanced topics. This textbook would be ideal for use in a first course in Probability Theory. Contents: Probabilities Conditional Probabilities and Independence Random Variables and Their Distribution Operations on Random Variables Expected Value, Variance, and Covariance Normally Distributed Random Vectors Limit Theorems Mathematical Statistics Appendix Bibliography Index
Author | : |
Publisher | : Allied Publishers |
Total Pages | : 436 |
Release | : 2013 |
Genre | : |
ISBN | : 9788177644517 |
Download Probability Theory Book in PDF, Epub and Kindle
Probability theory
Author | : Bruce Hansen |
Publisher | : Princeton University Press |
Total Pages | : 417 |
Release | : 2022-06-28 |
Genre | : Business & Economics |
ISBN | : 0691236143 |
Download Probability and Statistics for Economists Book in PDF, Epub and Kindle
A comprehensive and up-to-date introduction to the mathematics that all economics students need to know Probability theory is the quantitative language used to handle uncertainty and is the foundation of modern statistics. Probability and Statistics for Economists provides graduate and PhD students with an essential introduction to mathematical probability and statistical theory, which are the basis of the methods used in econometrics. This incisive textbook teaches fundamental concepts, emphasizes modern, real-world applications, and gives students an intuitive understanding of the mathematics that every economist needs to know. Covers probability and statistics with mathematical rigor while emphasizing intuitive explanations that are accessible to economics students of all backgrounds Discusses random variables, parametric and multivariate distributions, sampling, the law of large numbers, central limit theory, maximum likelihood estimation, numerical optimization, hypothesis testing, and more Features hundreds of exercises that enable students to learn by doing Includes an in-depth appendix summarizing important mathematical results as well as a wealth of real-world examples Can serve as a core textbook for a first-semester PhD course in econometrics and as a companion book to Bruce E. Hansen’s Econometrics Also an invaluable reference for researchers and practitioners