Monografie
Hierarchical modelling of discrete longitudinal data : applications of Markov chain Monte Carlo
- Sprache
-
Englisch
- Umfang
-
137 S.
- Anmerkungen
-
Zugl.: München, Univ., Diss., 1997
- ISBN
-
978-3-89675-205-5
- Identifier
-
950881368
- Reihe
-
Statistik
Thema
Längsschnittuntersuchung ; Markov-Ketten-Monte-Carlo-Verfahren ; Hochschulschrift
Beteiligte Personen und Organisationen
- Inhaltsverzeichnis
- Rechteinformation
-
Der Zugriff auf Teile des Objekts ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.04.2024, 08:48 MESZ
Objekttyp
- Monografie
Beteiligte
Ähnliche Objekte (12)
Zur statistischen Inferenz in Markov-Feldern : Markov-Chain-Monte-Carlo-Verfahren und Modelle mit räumlich variierenden Koeffizienten
Monte Carlo methods in Bayesian computation
Image analysis, random fields and Markov chain Monte Carlo methods : a mathematical introduction
From 4D reduced supersymmetric Yang-Mills integrals to branched polymers
An Uncoupling Coupling method for Markov chain Monte Carlo simulations with an application to biomolecules
A Markov Chain Monte Carlo Multiple Imputation Procedure for Dealing with Item Nonresponse in the German SAVE Survey
Cosmological models and observation
Hierarchical binary spatial regression models with cluster effects
Quantum Monte Carlo methods and strongly correlated electrons on honeycomb structures
Spatial statistics and computational methods
Regression models for ordinal valued time series : estimation and applications in finance
Qualitätskriterien für Proteinstrukturen aus NMR-Daten
Zur statistischen Inferenz in Markov-Feldern : Markov-Chain-Monte-Carlo-Verfahren und Modelle mit räumlich variierenden Koeffizienten
Monte Carlo methods in Bayesian computation
Image analysis, random fields and Markov chain Monte Carlo methods : a mathematical introduction
From 4D reduced supersymmetric Yang-Mills integrals to branched polymers
An Uncoupling Coupling method for Markov chain Monte Carlo simulations with an application to biomolecules
A Markov Chain Monte Carlo Multiple Imputation Procedure for Dealing with Item Nonresponse in the German SAVE Survey
Cosmological models and observation
Hierarchical binary spatial regression models with cluster effects
Quantum Monte Carlo methods and strongly correlated electrons on honeycomb structures
Spatial statistics and computational methods
Regression models for ordinal valued time series : estimation and applications in finance
Qualitätskriterien für Proteinstrukturen aus NMR-Daten
Zur statistischen Inferenz in Markov-Feldern : Markov-Chain-Monte-Carlo-Verfahren und Modelle mit räumlich variierenden Koeffizienten
Monte Carlo methods in Bayesian computation
Image analysis, random fields and Markov chain Monte Carlo methods : a mathematical introduction
From 4D reduced supersymmetric Yang-Mills integrals to branched polymers
An Uncoupling Coupling method for Markov chain Monte Carlo simulations with an application to biomolecules
A Markov Chain Monte Carlo Multiple Imputation Procedure for Dealing with Item Nonresponse in the German SAVE Survey
Cosmological models and observation
Hierarchical binary spatial regression models with cluster effects
Quantum Monte Carlo methods and strongly correlated electrons on honeycomb structures
Spatial statistics and computational methods
Regression models for ordinal valued time series : estimation and applications in finance