podcast.de
Anmeldung
Anmeldung Registrierung
Erweiterte Suche
  1. Startseite
  2. Podcasts
  3. Mathematik, Informatik und Statistik - Open Access LMU - Teil 01/03 Podcast
  4. Parametric and Nonparametric Regression with Missing X's - A Review
This paper gives a detailed overview of the problem of missing data
in parametric and nonparametric regression. Theoretical basics,
properties as well as simulation results may help the reader to get
familiar with the common problem of incomplete data sets. Of
course, not all occurences can be discussed so this paper could be
seen as an introduction to missing data within regression analysis
and as an extension to the early paper of Little (1992).

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
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
Missing at Random (MAR) in Nonparametric Regression - A Simulation Experiment

Missing at Random (MAR) in Nonparametric Regression - A Simulation Experiment

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

Abonnenten

Teilen