Robust Confidence Intervals for the Population Mean Alternatives to the Student-t Confidence Interval

Autor: Aamid Saghir, Moustafa Omar Ahmed Abu-Shawiesh
Rok vydání: 2020
Předmět:
Zdroj: Journal of Modern Applied Statistical Methods. 18:2-20
ISSN: 1538-9472
DOI: 10.22237/jmasm/1556669160
Popis: In this paper, three robust confidence intervals are proposed as alternatives to the Student t confidence interval. The performance of these intervals was compared through a simulation study shows that Qn-t confidence interval performs the best and it is as good as Student’s t confidence interval. Real-life data was used for illustration and performing a comparison that support the findings obtained from the simulation study.
Databáze: OpenAIRE