Understanding Probability and Statistics
Author | : Ruma Falk |
Publisher | : A K Peters/CRC Press |
Total Pages | : 264 |
Release | : 1993-04-15 |
Genre | : Mathematics |
ISBN | : |
Download Understanding Probability and Statistics Book in PDF, ePub and Kindle
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Understanding Probability And Statistics A Book Of Problems PDF full book. Access full book title Understanding Probability And Statistics A Book Of Problems.
Author | : Ruma Falk |
Publisher | : A K Peters/CRC Press |
Total Pages | : 264 |
Release | : 1993-04-15 |
Genre | : Mathematics |
ISBN | : |
Author | : Ruma Falk |
Publisher | : Universities Press |
Total Pages | : 260 |
Release | : |
Genre | : |
ISBN | : 9788173714405 |
This is a book of creative statistical problems intended to allay the mathematical fears of the average students through 'experiencing the revelation of understanding'. The collection encompasses a range of problems from high school to graduate level and takes the active, hands-on approach to the assimilation of basic concepts.
Author | : Henk Tijms |
Publisher | : Cambridge University Press |
Total Pages | : |
Release | : 2012-06-14 |
Genre | : Mathematics |
ISBN | : 1139511076 |
Understanding Probability is a unique and stimulating approach to a first course in probability. The first part of the book demystifies probability and uses many wonderful probability applications from everyday life to help the reader develop a feel for probabilities. The second part, covering a wide range of topics, teaches clearly and simply the basics of probability. This fully revised third edition has been packed with even more exercises and examples and it includes new sections on Bayesian inference, Markov chain Monte-Carlo simulation, hitting probabilities in random walks and Brownian motion, and a new chapter on continuous-time Markov chains with applications. Here you will find all the material taught in an introductory probability course. The first part of the book, with its easy-going style, can be read by anybody with a reasonable background in high school mathematics. The second part of the book requires a basic course in calculus.
Author | : Marek Capinski |
Publisher | : Springer Science & Business Media |
Total Pages | : 262 |
Release | : 2013-06-29 |
Genre | : Mathematics |
ISBN | : 0387216596 |
This book of problems is designed to challenge students learning probability. Each chapter is divided into three parts: Problems, Hints, and Solutions. All Problems sections include expository material, making the book self-contained. Definitions and statements of important results are interlaced with relevant problems. The only prerequisite is basic algebra and calculus.
Author | : F.M. Dekking |
Publisher | : Springer Science & Business Media |
Total Pages | : 485 |
Release | : 2006-03-30 |
Genre | : Mathematics |
ISBN | : 1846281687 |
Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books
Author | : Michael J. Evans |
Publisher | : Macmillan |
Total Pages | : 704 |
Release | : 2004 |
Genre | : Mathematics |
ISBN | : 9780716747420 |
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 | : A. A. Sveshnikov |
Publisher | : Courier Corporation |
Total Pages | : 516 |
Release | : 2012-04-30 |
Genre | : Mathematics |
ISBN | : 0486137562 |
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 | : Wolf Schwarz |
Publisher | : Springer Science & Business Media |
Total Pages | : 124 |
Release | : 2007-11-25 |
Genre | : Mathematics |
ISBN | : 0387735127 |
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.
Author | : Richard Von Mises |
Publisher | : Courier Corporation |
Total Pages | : 273 |
Release | : 1981-01-01 |
Genre | : Mathematics |
ISBN | : 0486242145 |
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 | : Larry Wasserman |
Publisher | : Springer Science & Business Media |
Total Pages | : 446 |
Release | : 2013-12-11 |
Genre | : Mathematics |
ISBN | : 0387217363 |
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.