The exponential distribution is commonly used to model the behavior of units that have a constant failure rate. The two-parameter exponential distribution provides a simple but nevertheless useful model for the analysis of lifetimes, especially when investigating reliability of technical equipment.This paper is concerned with estimation of parameters of the two parameter (location and scale) exponential distribution. We used the least squares method (LSM), relative least squares method (RELS), ridge regression method (RR), moment estimators (ME), modified moment estimators (MME), maximum likelihood estimators (MLE) and modified maximum likelihood estimators (MMLE). We used the mean square error MSE, and total deviation TD, as measurem...
This paper discussed robust estimation for point estimation of the shape and scale parameters for ge...
Parameter and reliability estimators for a bivariate exponential distribution are derived by the mom...
Maximum likelihood estimation of parameters is considered in the situation where a measurement x is ...
The exponential distribution is commonly used to model the behavior of units that have a constant fa...
In this paper, we estimate the parameters of the exponential distribution by least trimmed squares (...
The present paper considers modified extension of the exponential distribution with three parameters...
In modeling reliability data, the exponential distribution is commonly used due to its simplicity. F...
This report consists of three parts, the first one dealing with the unbiased, minimum-variance estim...
Ordinary least squares (OLS) and Linear (LIN) estimators are commonly used in estimating the paramet...
Using the data for upper record values, the interval estimation for the scale parameter of two-param...
This study derives the parameter estimation in truncated form of a continuous distribution which is ...
[[abstract]]In this paper, we propose the weighted moments estimators (WMEs) of the scale parameter ...
Examining the robustness properties of maximum likelihood (ML) estimators of parameters in exponenti...
In this paper, we present some methods for estimating the parameters of the two parameter Power func...
This paper deals with the problem of estimating the location parameter of a two-parameter exponentia...
This paper discussed robust estimation for point estimation of the shape and scale parameters for ge...
Parameter and reliability estimators for a bivariate exponential distribution are derived by the mom...
Maximum likelihood estimation of parameters is considered in the situation where a measurement x is ...
The exponential distribution is commonly used to model the behavior of units that have a constant fa...
In this paper, we estimate the parameters of the exponential distribution by least trimmed squares (...
The present paper considers modified extension of the exponential distribution with three parameters...
In modeling reliability data, the exponential distribution is commonly used due to its simplicity. F...
This report consists of three parts, the first one dealing with the unbiased, minimum-variance estim...
Ordinary least squares (OLS) and Linear (LIN) estimators are commonly used in estimating the paramet...
Using the data for upper record values, the interval estimation for the scale parameter of two-param...
This study derives the parameter estimation in truncated form of a continuous distribution which is ...
[[abstract]]In this paper, we propose the weighted moments estimators (WMEs) of the scale parameter ...
Examining the robustness properties of maximum likelihood (ML) estimators of parameters in exponenti...
In this paper, we present some methods for estimating the parameters of the two parameter Power func...
This paper deals with the problem of estimating the location parameter of a two-parameter exponentia...
This paper discussed robust estimation for point estimation of the shape and scale parameters for ge...
Parameter and reliability estimators for a bivariate exponential distribution are derived by the mom...
Maximum likelihood estimation of parameters is considered in the situation where a measurement x is ...