A Decision-Theoretic Approach to Defining Variables Sampling Plans for Finite Lots: Single Sampling for Exponential and Gaussian Processes

Autor:	Nancy R. Mann, Kenneth W. Fertig
Rok vydání:	1974
Předmět:	Statistics and Probability Mathematical optimization Sampling distribution Sampling design Gamma distribution Sampling (statistics) Phase-type distribution Statistics Probability and Uncertainty Probability integral transform Variables sampling plan Importance sampling Mathematics
Zdroj:	Journal of the American Statistical Association. 69:665-671
ISSN:	1537-274X 0162-1459
DOI:	10.1080/01621459.1974.10480185
Popis:	A decision-theoretic approach is used to derive a variables sampling plan applicable to finite lots. A sampling distribution is derived for a general manufacturing process, and one-sided acceptance regions are determined for the particular cases in which the manufacturing process is described by either a normal distribution or an exponential distribution. Comparisons show that for a given risk level, a substantial savings in sample sizes can be effected over those required by previously available procedures (hypergeometric plans or variables plans with an infinite lot assumption).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2c38f65d3d7006a834be594a9cc11ba0 https://doi.org/10.1080/01621459.1974.10480185 Zobrazit plný text záznamu