Estimating covariance functions for longitudinal data using a random regression model
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1297-9686
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Estimating covariance functions for longitudinal data using a random regression model ; volume:30 ; number:3 ; day:15 ; month:5 ; year:1998 ; pages:1-20 ; date:6.1998
Genetics, selection, evolution ; 30, Heft 3 (15.5.1998), 1-20, 6.1998
- Creator
-
Meyer, Karin
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/1297-9686-30-3-221
- URN
-
urn:nbn:de:1111-2016032459903
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:48 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Meyer, Karin
- SpringerLink (Online service)
Other Objects (12)
Covariance regression with random forests
Estimating covariance matrices using estimating functions in nonparametric and semiparametric regression
Estimating Covariance Matrices Using Estimating Functions in Nonparametric and Semiparametric Regression
Spectral Theory For Random Closed Sets And Estimating The Covariance Via Frequency Space
Random Covariance Heterogeneity in Discrete Choice Models
On Estimating Residual Heterogeneity in Random-Effects Meta-Regression: A Comparative Study
Covariance matrix forecasting using support vector regression
A Bayesian generalized random regression model for estimating heritability using overdispersed count data
Parametric covariance matrix modeling in Bayesian panel regression
Robust covariance estimation in mixed-effects meta-regression models
Panel regression with random noise
Random projections for Bayesian regression
Covariance regression with random forests
Estimating covariance matrices using estimating functions in nonparametric and semiparametric regression
Estimating Covariance Matrices Using Estimating Functions in Nonparametric and Semiparametric Regression
Spectral Theory For Random Closed Sets And Estimating The Covariance Via Frequency Space
Random Covariance Heterogeneity in Discrete Choice Models
On Estimating Residual Heterogeneity in Random-Effects Meta-Regression: A Comparative Study
Covariance matrix forecasting using support vector regression
A Bayesian generalized random regression model for estimating heritability using overdispersed count data
Parametric covariance matrix modeling in Bayesian panel regression
Robust covariance estimation in mixed-effects meta-regression models
Panel regression with random noise
Random projections for Bayesian regression
Covariance regression with random forests
Estimating covariance matrices using estimating functions in nonparametric and semiparametric regression
Estimating Covariance Matrices Using Estimating Functions in Nonparametric and Semiparametric Regression
Spectral Theory For Random Closed Sets And Estimating The Covariance Via Frequency Space
Random Covariance Heterogeneity in Discrete Choice Models
On Estimating Residual Heterogeneity in Random-Effects Meta-Regression: A Comparative Study
Covariance matrix forecasting using support vector regression
A Bayesian generalized random regression model for estimating heritability using overdispersed count data
Parametric covariance matrix modeling in Bayesian panel regression
Robust covariance estimation in mixed-effects meta-regression models
Panel regression with random noise