| Binomial Distribution Handbook for Scientists and Engineers 2001 Edition Contributor(s): Collani, E. Von (Author), Dräger, Klaus (Author) |
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ISBN: 0817641297 ISBN-13: 9780817641290 Publisher: Birkhauser OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: June 2001 Annotation: This handbook provides refined, easy-to-use techniques for the estimation and testing of the probability of an event, and introduces superior interval and point estimators especially well-suited for small and medium-sized samples. |
| Additional Information |
| BISAC Categories: - Mathematics | Group Theory - Mathematics | Probability & Statistics - General |
| Dewey: 512.24 |
| LCCN: 00046821 |
| Physical Information: 0.94" H x 6.38" W x 9.46" (1.51 lbs) 357 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Binomial Distribution Handbook for Scientists and Engineers is a new reference book that deals with estimating and testing a proportion or the probability of an event. The purpose of the book is twofold: it aims at providing practitioners with refined and easy-to-use techniques as well as initiating a new field of research in theoretical statistics. The book contains completely new interval and point estimators as well as test procedures that are superior to the traditional ones. This is especially true in the case of small- and medium-sized samples, which are characteristic for many fields of application. The procedures are derived fro fixed and boudned parameter ranges, thus allowing the selection of a method tailored to a given situation. Thus, according to the size of the proportion or probability of interest different estimators should be used, similar to the case of measuring length, where the measurement method depends heavily on the size of the length to be measured. The approach yields more precise estimators and more powerful tests. It may also be applied to other estimation or test problems. Features and Topics: * An introduction to stochastics and its specific problems * A detailed theoretical derivation of the geometric approach in statistics based on a bounded measurement range * Practical, comprehensive tables for data analysis of the experimental state of investigations * Supplementary online files with extensive tables for measurement (confidence) intervals and prediction regions for testing; files available at http: //extras.springer.com/2001/978-0-8176-4129-0 *A detailed description of how to apply the tables in given situations for estimating and testing Statisticians and practitioners applying statistical methods will find this book an essential professional reference providing easy access to practical material for quick use. |