Statistical Properties and Sensitivity of a New Adaptive Sampling Method for Quality Control

Autor:	Manuel do Carmo, Paulo Infante, Jorge M. Mendes
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	adaptive sampling sensitivity simulation Laplace sampling intervals Statistics HA1-4737 Probabilities. Mathematical statistics QA273-280
Zdroj:	Revstat Statistical Journal, Vol 16, Iss 1 (2018)
Druh dokumentu:	article
ISSN:	1645-6726 2183-0371
DOI:	10.57805/revstat.v16i1.230
Popis:	We present a new adaptive sampling method for statistical quality control. In this method, called LSI (Laplace sampling intervals), we use the probability distribution function of the Laplace standard distribution to obtain the sampling instants, depending on a k parameter that allows control of sampling costs. Several algebraic expressions concerning the statistical properties of the LSI method are presented. We compare the LSI method with fixed sampling intervals (FSI) and variable sampling intervals (VSI) methods using a Shewhart X-bar control chart and evaluate the sensitivity of these sampling methods when the lower sampling interval is truncated. The results obtained show that the new method is a viable alternative in various critical contexts and situations.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/1635b4cfadcf465fbfacf0e068406977 Zobrazit plný text záznamu View record in DOAJ