| Probability and Random Variables Revised Edition Contributor(s): Beaumont, G. P. (Author) |
|
 |
ISBN: 1904275192 ISBN-13: 9781904275190 Publisher: Woodhead Publishing OUR PRICE: $66.56 Product Type: Paperback - Other Formats Published: March 2005 Annotation: This revised edition undergraduate text is a sound and stimulating introduction to probability theory. The accent is on its essential role in statistical theory and practice, built on the use of illustrative examples and the solution of problems from typical examination papers. Distinctive features include coverage of combinatorics, empirical distributors, and distributions with random parameters. Applications which are dealt with cover estimation; the sampling of finite population; and methods for the generation of samples from widely encountered distributions as being important in simulations by computer. Mathematically-friendly for first and second year undergraduate students, the book is also a reference source for those in a wide range of disciplines who are aware that even the simpler aspects of probability theory are not simple. |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - Stochastic Processes - Mathematics | Study & Teaching |
| Dewey: 519.2 |
| LCCN: 2005279299 |
| Series: Mathematics, Statistics, and Operational Research |
| Physical Information: 1.05" H x 6.3" W x 9.22" (1.18 lbs) 344 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This undergraduate text distils the wisdom of an experienced teacher and yields, to the mutual advantage of students and their instructors, a sound and stimulating introduction to probability theory. The accent is on its essential role in statistical theory and practice, built on the use of illustrative examples and the solution of problems from typical examination papers. Mathematically-friendly for first and second year undergraduate students, the book is also a reference source for workers in a wide range of disciplines who are aware that even the simpler aspects of probability theory are not simple. |