Add to ORKGMiddle censoring refers to data that becomes unobservable if it falls within a random interval. The lifetime distribution of such data is defined via the self-consistency equation. We propose an approxi-mation to this distribution function for which an estimator and its asymptotic properties are very easy to establish. Abbreviated title: Estimation for middle-censored data
In this article, we deal with a dependent middle censoring with a censoring interval of fixed length...
In this article, we deal with a dependent middle censoring with a censoring interval of fixed length...
In this article, we deal with a dependent middle censoring with a censoring interval of fixed length...
This paper provides the self-consistent estimator (SCE) and the nonparametric maximum likelihood est...
This paper provides the self-consistent estimator (SCE) and the nonparametric maximum likelihood est...
Recently Jammalamadaka and Mangalam [2003. Non-parametric estimation for middle censored data. J. No...
Recently Jammalamadaka and Mangalam [2003. Non-parametric estimation for middle censored data. J. No...
Recently Jammalamadaka and Mangalam [2003. Non-parametric estimation for middle censored data. J. No...
Recently Jammalamadaka and Mangalam (2003) introduced a general censoring scheme called the “middle-...
Recently Jammalamadaka and Mangalam (2003) introduced a general censoring scheme called the “middle-...
We consider the problem of estimating the lifetime distributions of survival times subject to a gene...
We consider the problem of estimating the lifetime distributions of survival times subject to a gene...
‘Middle censoring’ is a very general censoring scheme where the actual value of an observation in th...
In this article, we deal with a dependent middle censoring with a censoring interval of fixed length...
In this article, we deal with a dependent middle censoring with a censoring interval of fixed length...
In this article, we deal with a dependent middle censoring with a censoring interval of fixed length...
In this article, we deal with a dependent middle censoring with a censoring interval of fixed length...
In this article, we deal with a dependent middle censoring with a censoring interval of fixed length...
This paper provides the self-consistent estimator (SCE) and the nonparametric maximum likelihood est...
This paper provides the self-consistent estimator (SCE) and the nonparametric maximum likelihood est...
Recently Jammalamadaka and Mangalam [2003. Non-parametric estimation for middle censored data. J. No...
Recently Jammalamadaka and Mangalam [2003. Non-parametric estimation for middle censored data. J. No...
Recently Jammalamadaka and Mangalam [2003. Non-parametric estimation for middle censored data. J. No...
Recently Jammalamadaka and Mangalam (2003) introduced a general censoring scheme called the “middle-...
Recently Jammalamadaka and Mangalam (2003) introduced a general censoring scheme called the “middle-...
We consider the problem of estimating the lifetime distributions of survival times subject to a gene...
We consider the problem of estimating the lifetime distributions of survival times subject to a gene...
‘Middle censoring’ is a very general censoring scheme where the actual value of an observation in th...
In this article, we deal with a dependent middle censoring with a censoring interval of fixed length...
In this article, we deal with a dependent middle censoring with a censoring interval of fixed length...
In this article, we deal with a dependent middle censoring with a censoring interval of fixed length...
In this article, we deal with a dependent middle censoring with a censoring interval of fixed length...
In this article, we deal with a dependent middle censoring with a censoring interval of fixed length...