Rapport2005

Nummer: 8

Approximation of the Distribution of the Location Parameter in the Growth Curve Model

Kollo Tönu, Roos Anu, von Rosen Dietrich.

Forskningsartikel2005

Nummer: 8

Approximation of the distribution of the location parameter in the growth curve model

Kollo Tonu, Roos Anu, von Rosen Dietrich.

Forskningsartikel2005

Nummer: 7

Subsampling variance estimation for statistics computed from nonstationary spatial lattice data

Ekström, Magnus.

Forskningsartikel2005

Nummer: 6

Shift permutation invariance in linear random factor models

Nahtman, Tatjana; von, Rosen Dietrich.

Rapport2005

Nummer: 6

Shift permutation invariance in linear random factor models

Nahtman, Tatjana; von, Rosen Dietrich.

Forskningsartikel2005

Nummer: 5

An approximate critical point for a test in the growth curve model: a conditional approach

Hamid, Jemila Seid; von, Rosen Dietrich.

Rapport2005

Nummer: 5

An approximate critical point for a test in the growth curve model:A conditional approach

Seid, Hamid Jemila; von, Rosen Dietrich.

Forskningsartikel2005

Nummer: 4

Hypothesis testing via residuals in two GMANOVA models

Hamid Jemila Seid, von Rosen Dietrich.

Rapport2005

Nummer: 4

Hypothesis testing via residuals in two GMANOVA models

Seid, Hamid Jemila; von, Rosen Dietrich.

Forskningsartikel2005

Nummer: 3

Consistency of quasi-maximum likelihood estimators for the regime-switching GARCH model

Xie, Yingfu.

Forskningsartikel2005

Nummer: 2

Consistency of quasi-maximum likelihood estimators for the reduced regime-switching GARCH model

Xie, Yingfu; Yu, Jun.

Forskningsartikel2005

Nummer: 1

Application of clustered resampling methods in assessing accuracy of cross-validated estimators of cross-classification probabilities of nearest-neighbor classifiers

Belyaev, Yuri.

Rapport2004

Nummer: 4

Modelling Mean-Covariance Structures in the Growth Curve Models

Pan , von Rosen Dietrich.

Forskningsartikel2004

Nummer: 4

Modelling Mean-Covariance Structures in the Growth Curve Model

Jianxin, Pan; von, Rosen Dietrich.

Rapport2004

Nummer: 1

Towards the Optimal Feature Selection in High-Dimensional Bayesian Network Classifiers

Pavlenko, T; Hall, M; von, Rosen.

Forskningsartikel2003

Nummer: 7

Classification of agricultural crops and quality assessment using multispectral and multitemporal images

Ranneby Bo, Yu Jun.

Forskningsartikel2003

Nummer: 6

On the Optimal Weighting of High-Dimensional Bayesian Networks

Pavlenko Tatjana, von Rosen Dietrich.

Forskningsartikel2003

Nummer: 5

Quasi-Maximum Likelihood Estimators in GARCH(1,2) Model: Asymptotics and Applications

Yingfu Xie, Yu Jun.

Forskningsartikel2003Vetenskapligt granskad

Nummer: 3

Maximum Likelihood Estimation in Forest Growth Models with Measurement Errors

Ranneby Bo, Teterukovskiy Alex.

Licentiatavhandling2003

Nummer: 2

Comparative performance of classification and stratification methods in remote sensing and forest applications : simulation studies

Norström, Fredrik.

Forskningsartikel2003

Nummer: 2

Comparative Performance of Classification and Stratification Methods in Remote Sensing and Forest Applications : Simulation Studies

Norström, Fredrik.

Forskningsartikel2003

Nummer: 1

Necessary and Sufficient Conditions for Consistency of Resampling

Belyaev, Yuri.

Research report (Centre of Biostochastics)

Publikationer

2005

Approximation of the Distribution of the Location Parameter in the Growth Curve Model

Approximation of the distribution of the location parameter in the growth curve model

Subsampling variance estimation for statistics computed from nonstationary spatial lattice data

Shift permutation invariance in linear random factor models

Shift permutation invariance in linear random factor models

An approximate critical point for a test in the growth curve model: a conditional approach

An approximate critical point for a test in the growth curve model:A conditional approach

Hypothesis testing via residuals in two GMANOVA models

Hypothesis testing via residuals in two GMANOVA models

Consistency of quasi-maximum likelihood estimators for the regime-switching GARCH model

Consistency of quasi-maximum likelihood estimators for the reduced regime-switching GARCH model

Application of clustered resampling methods in assessing accuracy of cross-validated estimators of cross-classification probabilities of nearest-neighbor classifiers

2004

Modelling Mean-Covariance Structures in the Growth Curve Models

Modelling Mean-Covariance Structures in the Growth Curve Model

Towards the Optimal Feature Selection in High-Dimensional Bayesian Network Classifiers

2003

Classification of agricultural crops and quality assessment using multispectral and multitemporal images

On the Optimal Weighting of High-Dimensional Bayesian Networks

Quasi-Maximum Likelihood Estimators in GARCH(1,2) Model: Asymptotics and Applications

Maximum Likelihood Estimation in Forest Growth Models with Measurement Errors

Comparative performance of classification and stratification methods in remote sensing and forest applications : simulation studies

Comparative Performance of Classification and Stratification Methods in Remote Sensing and Forest Applications : Simulation Studies

Necessary and Sufficient Conditions for Consistency of Resampling