Improving the Estimation of Coefficients in Linear Regression Models with Some Missing Observations on Some Explanatory Variables

Improving the Estimation of Coefficients in Linear Regression Models with Some Missing Observations on Some Explanatory Variables

vor 28 Jahren
0
0 0
Podcast
Podcaster

Beschreibung

vor 28 Jahren

Weitere Episoden

Quantifying overdispersion effects in count regression data

Quantifying overdispersion effects in count regression data

vor 24 Jahren
Graphical chain models for the analysis of complex genetic diseases: an application to hypertension

Graphical chain models for the analysis of complex genetic diseases: an application to hypertension

vor 24 Jahren
Geo-additive models of Childhood Undernutrition in three Sub-Saharan African Countries

Geo-additive models of Childhood Undernutrition in three Sub-Saharan African Countries

vor 24 Jahren
Parametric and Nonparametric Regression with Missing X's - A Review

Parametric and Nonparametric Regression with Missing X's - A Review

vor 24 Jahren
A Selection Model for Bivariate Normal Data, with a Flexible Nonparametric Missing Model and a Focus on Variance Estimates

A Selection Model for Bivariate Normal Data, with a Flexible Nonparametric Missing Model and a Focus on Variance Estimates

vor 24 Jahren
In Podcasts werben
Schalte jetzt Werbung in Podcasts.
Alle Episoden anzeigen

Abonnenten

Logo
15
15
Episode teilen
Improving the Estimation of Coefficients in Linear Regression Models with Some Missing Observations on Some Explanatory Variables
Improving the Estimation of Coefficients in Linear Regression Models with Some Missing Observations on Some Explanatory Variables
Close