Maximum likehood estimates of the parameters of a trivariate normal distribution, with single truncation on two-variates, have been derived in this paper. The information matrix has also been given from which the asymptotic variances and covariances might be obtained for the estimates of the parameters of the restricted variables. Numerical examples have been worked out
In this article we discuss the problem of estimating the parameters of the doubly truncated logistic...
We provide an efficient algorithm for the classical problem, going back to Galton, Pearson,and Fishe...
Abstract. This paper is concerned with the maximum likelihood estimation problem for the singly trun...
Maximum likehood estimates of the parameters of a trivariate normal distribution, with single trunc...
Maximum likehood estimates of the parameters of a trivariate normal distribution, with single trunc...
Maximum likehood estimates of the parameters of a trivariate normal distribution, with single trunc...
Maximum likehood estimates of the parameters of a trivariate normal distribution, with single trunc...
Maximum likehood estimates of the parameters of a trivariate normal distribution, with single trunc...
In various fields of science, such as biology, economics and medicine, scientific data frequently fo...
In this note, for tri-variate normal distributions, we consider the problem of the identification of...
AbstractThis note formalizes some analytical results on the n-dimensional multivariate truncated nor...
Abstract Many statistical methods for truncated data rely on the independence assumption regarding t...
AbstractLet (Xi, Yi, Zi), i = 1, 2, …, m, be a number of independent random vectors each with a non-...
This thesis deals with truncated distributions. Firstly, the case of the truncated normal distributi...
The multivariate skew-normal distribution is useful for modeling departures from normality in data t...
In this article we discuss the problem of estimating the parameters of the doubly truncated logistic...
We provide an efficient algorithm for the classical problem, going back to Galton, Pearson,and Fishe...
Abstract. This paper is concerned with the maximum likelihood estimation problem for the singly trun...
Maximum likehood estimates of the parameters of a trivariate normal distribution, with single trunc...
Maximum likehood estimates of the parameters of a trivariate normal distribution, with single trunc...
Maximum likehood estimates of the parameters of a trivariate normal distribution, with single trunc...
Maximum likehood estimates of the parameters of a trivariate normal distribution, with single trunc...
Maximum likehood estimates of the parameters of a trivariate normal distribution, with single trunc...
In various fields of science, such as biology, economics and medicine, scientific data frequently fo...
In this note, for tri-variate normal distributions, we consider the problem of the identification of...
AbstractThis note formalizes some analytical results on the n-dimensional multivariate truncated nor...
Abstract Many statistical methods for truncated data rely on the independence assumption regarding t...
AbstractLet (Xi, Yi, Zi), i = 1, 2, …, m, be a number of independent random vectors each with a non-...
This thesis deals with truncated distributions. Firstly, the case of the truncated normal distributi...
The multivariate skew-normal distribution is useful for modeling departures from normality in data t...
In this article we discuss the problem of estimating the parameters of the doubly truncated logistic...
We provide an efficient algorithm for the classical problem, going back to Galton, Pearson,and Fishe...
Abstract. This paper is concerned with the maximum likelihood estimation problem for the singly trun...