Optimal screening designs with flexible cost and constraint structures

Autor:	Janis Hardwick, Quentin F. Stout
Rok vydání:	2005
Předmět:	Statistics and Probability Optimal design Mathematical optimization Applied Mathematics Design of experiments Decision theory Constraint (information theory) Dynamic programming Range (mathematics) Acceptance sampling Algorithmics Econometrics Statistics Probability and Uncertainty Mathematics
Zdroj:	Journal of Statistical Planning and Inference. 132:149-162
ISSN:	0378-3758
DOI:	10.1016/j.jspi.2004.06.020
Popis:	We describe a cost- and constraint-based decision-theoretic approach to the design of screening trials, where the goal is to identify promising candidates for future study or to decide whether to accept or reject a product. An algorithmic method for optimizing this approach is presented. This method utilizes a highly flexible structure to reflect a variety of decision and experimental costs and constraints. The designs produced can range from being a single stage up to being fully sequential, depending on the sampling cost functions and constraints. These designs generalize and extend those previously available, often achieving meaningful improvements. This approach can be used for a variety of other problems. Operating characteristics of the designs are also described.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2ed63f1c583a13586b4e62849ef801c7 https://doi.org/10.1016/j.jspi.2004.06.020 Zobrazit plný text záznamu Full Text from ScienceDirect