๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A method to estimate the values of the parameters of the parent population from incomplete data

โœ Scribed by Cao Tianjie; Zhou Zegong

Publisher
Elsevier Science
Year
1988
Tongue
English
Weight
252 KB
Volume
21
Category
Article
ISSN
0951-8320

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Estimating the Order of a Sequence of Ph
Estimating the Order of a Sequence of Physiological Changes from Incomplete Data
โœ Andrew R. Solow; Mary Carla Curran; Flegra Bentivegna ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 237 KB

The problem considered in this paper is the estimation of the underlying order of rn physiological changes from incomplete observations. The observations are incomplete in the sense that, for each individual in the sample, only the identity, but not the order, of the first k < rn changes are observe

Efficient ML Estimation of the Multivari
Efficient ML Estimation of the Multivariate Normal Distribution from Incomplete Data
โœ Chuanhai Liu ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 136 KB

It is well known that the maximum likelihood estimates (MLEs) of a multivariate normal distribution from incomplete data with a monotone pattern have closed-form expressions and that the MLEs from incomplete data with a general missing-data pattern can be obtained using the Expectation-Maximization

SOME ISSUES IN ESTIMATING THE EFFECT OF
SOME ISSUES IN ESTIMATING THE EFFECT OF PROGNOSTIC FACTORS FROM INCOMPLETE COVARIATE DATA
โœ WERNER VACH ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 328 KB ๐Ÿ‘ 2 views

In evaluating prognostic factors by means of regression models, missing values in the covariate data are a frequent complication. There exist statistical tools to analyse such incomplete data in an efficient manner, and in this paper we make use of the traditional maximum likelihood principle. As we