podcast.de
Anmeldung
Anmeldung Registrierung
Erweiterte Suche
  1. Startseite
  2. Podcasts
  3. Mathematik, Informatik und Statistik - Open Access LMU - Teil 01/03 Podcast
  4. The Additive Model with Missing Values in the Independent Variable - Theory and Simulation
After a short introduction of the model, the missing mechanism and
the method of inference some imputation procedures are introduced
with special focus on the simulation experiment. Within this
experiment, the simple additive model y = f(x) + e is assumed to
have missing values in the independent variable according to MCAR.
Besides the well-known complete case analysis, mean imputation plus
random noise, a single imputation and two ways of nearest neighbor
imputation are used. These methods are compared within a simulation
experiment based on the average mean square error, variances and
biases of \hat{f}(x) at the knots.

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
Alle Episoden anzeigen
In Podcasts werben
Schalte jetzt Werbung in Podcasts.

Abonnenten

Teilen