Interval estimators of parameters for normal one sample and balanced one-way random effects models when data are rounded

Autor:	Chiang-Sheng Lee
Rok vydání:	2018
Předmět:	Engineering Degree (graph theory) business.industry Rounding Interval estimation TheoryofComputation_GENERAL Estimator Sample (statistics) Interval (mathematics) Random effects model Distribution (mathematics) Statistics Applied mathematics business
DOI:	10.31274/rtd-180813-11536
Popis:	Standard statistical methods are based on an implicit assumption that numerical data are exact. But in truth, all real data are rounded to some smallest unit of measure related to the precision of the device used to produce them. When the degree of rounding is severe, ignoring the rounding produces statistical methods with operating characteristics far from nominal. We discuss the interval estimation of the parameter n when rounded data come from the N(/z,cr2) distribution.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::94698ab1b64b2a98f3faad60447f59ce https://doi.org/10.31274/rtd-180813-11536 Zobrazit plný text záznamu