Optimal sequentially planned decision procedures
By: Norbert Schmitz ; with the assistance of Günter Duscha, Josef Lübbert, Thomas Meyerthole.
Series: Lecture notes in statistics ;; 79; Lecture notes in statistics (Springer-Verlag) ;; 79.
Publisher: Springer-Verlag
Published: 1992
Place of publication: New York
Language: eng
Number of pages: 207
Subjects: Sequential analysis
Description: This volume is concerned with statistical procedures where the data are collected in sequentially designed groups. The basic premise here is that the expected total sample size is not always the appropriate criterion for evaluating statistical procedures, especially for nonlinear sampling costs (e.g. additive fixed costs) and in clinical trials. In fact, this criterion seems to have been a hindrance to the practical use of Wald's sequential probability ratio test (SPRT) despite its well-known optimum properties. This volume systematically develops decision procedures which retain the possibility of early stopping and remove some of the disadvantages of one-at-a-time sampling. In particular, for generalizations of the SPRT algorithms, methods for computing characteristics (such as operating characteristics or power functions, expected sampling costs, etc.) are developed and implemented. The procedures turn out to be optimal in a Bayesian sense as well as for problems with side conditions (e.g. specified bounds on error probabilities or expected sampling costs). A theory of optimal sampling is developed in order to prove the various properties of the procedures.
Notes: Includes bibliographical references (p. [199]-207) and index.