Open AccessConfidence interval estimation of gamma distribution lifetime data using score and bootstrap methods
Author(s) -
Larasati Larasati,
Rudi Ruswandi,
Fitriani Fitriani
Publication year - 2021
Publication title -
desimal
Language(s) - English
Resource type - Journals
eISSN - 2613-9081
pISSN - 2613-9073
DOI - 10.24042/djm.v4i1.7737
Subject(s) - confidence interval , statistics , interval estimation , reliability (semiconductor) , tolerance interval , credible interval , confidence distribution , gamma distribution , cdf based nonparametric confidence interval , coverage probability , robust confidence intervals , binomial proportion confidence interval , mathematics , interval (graph theory) , estimation , engineering , physics , negative binomial distribution , power (physics) , quantum mechanics , combinatorics , poisson distribution , systems engineering
Confidence interval estimation of parameters determines the value interval, which is calculated based on statistical measurements and has specific estimates probability that contains the actual parameters. A method is needed to estimate the parameters' confidence interval, and the methods used are the Score method and the Bootstrap method. This study aims to estimate parameters by using the maximum likelihood estimation method and analyze the reliability of the aircraft engine cooling system's lifetime that follows the Gamma Distribution, and estimate the confidence interval of the parameters.