Learning from experience, making decisions on the basis of the available information, and proceeding step by step to a desired goal are fundamental behavioural qualities of human beings. Nevertheless, it was not until the early 1940's that such a statistical theory - namely Sequential Analysis - was created, which allows us to investigate this kind of behaviour in a precise manner. A.
Wald's famous sequential probability ratio test (SPRT; see example (1.8» turned out to have an enormous influence on the development of this theory. On the one hand, Wald's fundamental monograph "Sequential Analysis" ([Wa]*) is essentially centered around this test. On the other hand, important properties of the SPRT - e.g.
Bayes- optimality, minimax-properties, "uniform" optimality with respect to expected sample sizes - gave rise to the development of a general statistical decision theory. As a conse- quence, the SPRT's played a dominating role in the further development of sequential analysis and, more generally, in theoretical statistics.
| ISBN: | 9780387979083 |
| Publication date: | 28th October 1992 |
| Author: | N Schmitz |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Paperback |
| Pagination: | 207 pages |
| Series: | Lecture Notes in Statistics |
| Genres: |
Probability and statistics Stochastics |
Learning from experience, making decisions on the basis of the available information, and proceeding step by step to a desired goal are fundamental behavioural qualities of human beings. Nevertheless, it was not until the early 1940's that such a statistical theory - namely Sequential Analysis - was created, which allows us to investigate this kind of behaviour in a precise manner.
Optimal Sequentially Planned Decision Procedures features in the following genres: Probability and statistics, Stochastics
Paperback. Not Available.
Optimal Sequentially Planned Decision Procedures was written by N Schmitz and published by Springer an imprint of Springer New York
Optimal Sequentially Planned Decision Procedures has 207 pages
Yes it is part of Lecture Notes in Statistics series