This paper investigates estimating the association parameter of Morgenstern type bivariate distribution using a modified maximum likelihood method where the regular maximum likelihood methods failed to achieve estimation. The simple random sampling, concomitant of ordered statistics and bivariate ranked set sampling methods are used and compared. Efficiency and bias of the produced estimators are compared for two specific examples, Morgenstern type bivariate uniform and exponential distributions
The concept of ranked set sampling (RSS) was first introduce by McIntyre (1952) as a process of impr...
AbstractThis paper provides an exposition of alternative approaches for obtaining maximum- likelihoo...
Historically, the collection of available statistical models for fitting data has been, more or less...
This paper develops estimating parameters for Morgenstern type bivariatedistribution by using bivari...
In situations where the sampling units in a study can be more easily ranked based on the measurement...
In this paper, we consider three sampling methods that are ranked set sampling (RSS), generalized mo...
The study deals with the distribution theory and applications of concomitants from the Morgenstern f...
In this work, we developed the distribution theory of concomitants of record values arising from the...
In this paper we have suggested some improved estimator of parameters of Morgenstern type bivariate ...
In this paper, we discuss the distributions of concomitants of record values arising from a polynomi...
###EgeUn###Rank set sampling (RSS) is an efficient sampling technique, used especially in the situat...
This thesis considers bivariate extension of the Meixner class of distributions by the method of gen...
In recent years, the use of copulas has grown rapidly, especially in survivalanalysis. In this paper...
We apply the inversion method of estimation, with several combinations of two among the four most po...
The ranked set sampling (RSS) is a new sampling method alternative tothe simple random sampling (SRS...
The concept of ranked set sampling (RSS) was first introduce by McIntyre (1952) as a process of impr...
AbstractThis paper provides an exposition of alternative approaches for obtaining maximum- likelihoo...
Historically, the collection of available statistical models for fitting data has been, more or less...
This paper develops estimating parameters for Morgenstern type bivariatedistribution by using bivari...
In situations where the sampling units in a study can be more easily ranked based on the measurement...
In this paper, we consider three sampling methods that are ranked set sampling (RSS), generalized mo...
The study deals with the distribution theory and applications of concomitants from the Morgenstern f...
In this work, we developed the distribution theory of concomitants of record values arising from the...
In this paper we have suggested some improved estimator of parameters of Morgenstern type bivariate ...
In this paper, we discuss the distributions of concomitants of record values arising from a polynomi...
###EgeUn###Rank set sampling (RSS) is an efficient sampling technique, used especially in the situat...
This thesis considers bivariate extension of the Meixner class of distributions by the method of gen...
In recent years, the use of copulas has grown rapidly, especially in survivalanalysis. In this paper...
We apply the inversion method of estimation, with several combinations of two among the four most po...
The ranked set sampling (RSS) is a new sampling method alternative tothe simple random sampling (SRS...
The concept of ranked set sampling (RSS) was first introduce by McIntyre (1952) as a process of impr...
AbstractThis paper provides an exposition of alternative approaches for obtaining maximum- likelihoo...
Historically, the collection of available statistical models for fitting data has been, more or less...