J Ahmadi, M Doostparast, A Parsian - Communications in Statistics …, 2005 - Taylor & Francis
There are many situations where experimental outcomes are a sequence of record-breaking observations. In this article, Bayesian estimation for the two parameters of the exponential …
Some statistical data are most easily accessed in terms of record values. Examples include meteorology, hydrology and athletic events. Also, there are a number of industrial situations …
A Baklizi - Communications in Statistics—Theory and Methods, 2008 - Taylor & Francis
We consider the problem of estimating the stress-strength reliability when the available data is in the form of record values. The one parameter and two parameters exponential …
S Baratpour, J Ahmadi, NR Arghami - Statistical Papers, 2007 - Springer
Record values can be viewed as order statistics from a sample whose size is determined by the values and the order of occurrence of observations. They are closely connected with the …
The present review provides a survey on basic models of ordered data and censoring mechanisms with a focus on lifetime data, failure data, and reliability applications …
In this article, based on record values from the two-parameter Pareto distribution, maximum likelihood and Bayes estimators for the two unknown parameters are obtained. The Bayes …
MJS Khan, M Arshad - American Journal of Mathematical and …, 2016 - Taylor & Francis
SYNOPTIC ABSTRACT In this study, we have obtained the uniformly minimum variance unbiased estimator (UMVUE) of reliability function and stress–strength reliability for one …
M Basirat, S Baratpour, J Ahmadi - Communications in Statistics …, 2016 - Taylor & Francis
Based on record values, this article deals with inference for stress–strength reliability, R= P (X< Y), where the distributions of X and Y follow proportional hazard rate models but having …
Often, in industrial stress testing, meteorological data analysis, athletic events, and other similar situations, measurements may be made sequentially and only values larger or …