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Multilevel models (Statistics)

Overview

Works:	19 works in 4 publications in 4 languages

Titles

Multivariate behavioral research = the journal of the Society of Multivariate Experimental Psychology.. [Vol. 36. No. 2]. by: (Language materials, printed)

From Dust to Stars = Studies of the Formation and Early Evolution of Stars / by: (Language materials, printed)

Handbook of Multilevel Analysis by: (Language materials, printed)

Handbook of advanced multilevel analysis / by: (Language materials, printed)

Multilevel modeling using Mplus by: (Electronic resources)

Mixed-effects models and small area estimation by: (Electronic resources)

Data analysis using regression and multilevel/hierarchical models / by: (Language materials, printed)

Mixed effects models and extensions in ecology with R by: (Language materials, printed)

Applied Bayesian hierarchical methods by: (Language materials, printed)

Multilevel modeling of social problems = a causal perspective / by: (Electronic resources)

Subjects

Astrophysics.

Econometrics.

Regression analysis.

Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.

Experimental design.

Research Methodology.

Extraterrestrial Physics, Space Sciences.

Psychometrics.

Generalized estimating equations.

Public health- Statistical methods.

Multivariate analysis- Data processing.

WinBUGS.

Geophysics/Geodesy.

Statistical Theory and Methods.

Ecology- Statistical methods.

Math. Appl. in Environmental Science.

Health Services Research.

Species diversity- Mathematical models.

Multilevel models (Statistics)

Psychology, Experimental- Methodology.

R (Computer program language)

Statistics for Life Sciences, Medicine, Health Sciences.

Linear models (Statistics)

Biogeography- Mathematical models.

Applied Statistics.

Multiple comparisons (Statistics)

Quantum theory.

Environmental Monitoring/Analysis.

Mathematical statistics- Longitudinal studies.

Analysis of variance.

Public Health.

Ecology- Mathematical models.

Bayesian Network.

Multivariate analysis.

Social sciences- Research

Epidemiology.

Life Sciences.

Social Sciences.

Differentiable dynamical systems.

Physics.

Statistics.

Methodology of the Social Sciences.

Ecology.

Bayesian statistical decision theory.

Psychology, Experimental- Statistical methods.

Quantum statistics.

Astronomy.

Social sciences- Statistical methods.

Social problems- Mathematical models.

Numbers of species- Mathematical models.

Bayesian Inference.