Scopus
ESTIMATION OF PARAMETER FOR INVERSE RAYLEIGH DISTRIBUTION UNDER TYPE-I HYBRID CENSORED SAMPLES
Sigma Journal of Engineering and Natural Sciences · Ocak 2020
Makale Bilgileri
DergiSigma Journal of Engineering and Natural Sciences
Yayın TarihiOcak 2020
Cilt / Sayfa38 · 1705-1711
Scopus ID2-s2.0-85149916864
Özet
In reliability analysis, censoring is often preferred due to cost and time restrictions. It is well-known that a hybrid censoring scheme is a mixture of conventional type-I and type-II censoring schemes. In this study, we deal with the problem of the point and interval estimation of parameter for inverse Rayleigh distribution based on the type-I hybrid censored samples. We consider the method of maximum likelihood to estimate the parameter of inverse Rayleigh distribution by using the expectation maximization algorithm. Furthermore, the approximate confidence interval based on the maximum likelihood estimator is obtained by using Fisher information. We also performed a Monte Carlo simulation study to evaluate the performance of the maximum likelihood estimator under hybrid censoring for different sizes of samples.
Yazarlar (4)
1
Yunus Akdoğan
2
Egemen Özkan
ORCID: 0000-0003-3218-2868
3
Kadir Karakaya
4
Caner Tanış
Anahtar Kelimeler
Approximate confidence interval
expectation maximization algorithm
inverse Rayleigh distribution
maximum likelihood estimation
type-I hybrid censored samples
Kurumlar
Çankiri Karatekin Üniversitesi
Cankiri Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Yıldız Teknik Üniversitesi
Istanbul Turkey
Metrikler
1
Atıf
4
Yazar
5
Anahtar Kelime