Statistical inference for the generalized inverted exponential distribution based on upper record values
In this paper, non-Bayesian and Bayesian estimators for the unknown parameters are
obtained based on records from the generalized inverted exponential distribution. Bayes' …
obtained based on records from the generalized inverted exponential distribution. Bayes' …
[PDF][PDF] Bayesian estimation using lindley's approximation and prediction of generalized exponential distribution based on lower record values
S Sana, M Faizan - Journal of Statistics Applications & …, 2021 - naturalspublishing.com
The two parameter generalized exponential distribution (which is denoted by GE (α, λ)) was
introduced by Gupta and Kundu (1999). In this article, maximum likelihood estimators …
introduced by Gupta and Kundu (1999). In this article, maximum likelihood estimators …
Improved estimators of the distribution function based on lower record values
R Arabi Belaghi, M Arashi, SMM Tabatabaey - Statistical papers, 2015 - Springer
In this paper, we define different types of estimators for the distribution function, namely
preliminary test (PT), shrinkage PT (SPT), Stein type (S), and Thompson shrinkage (TS) …
preliminary test (PT), shrinkage PT (SPT), Stein type (S), and Thompson shrinkage (TS) …
A Study Of Factors Influencing Access And Utilization Of Cervical Cancer Screening Services Among Women Of Reproductive Age In Murang'A County, Kenya
RWK Kagika - 2018 - erepository.uonbi.ac.ke
The study sought to examine factors influencing access and use of cervical cancer
screening services among women aged between 18 and 49 years in Kiru Ward ofMathioya …
screening services among women aged between 18 and 49 years in Kiru Ward ofMathioya …
Comparison of estimators and predictors based on modified weibull records: Bayesian and non-Bayesian approaches
Based on record statistics from three-parameter modified Weibull distribution, we consider
the problem of estimating the unknown parameters using Bayesian and non-Bayesian …
the problem of estimating the unknown parameters using Bayesian and non-Bayesian …