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2006, 1. Aufl., ISBN 0470014962, x, 366
Mixed modelling is one of the most promising and exciting areas of statistical analysis, enabling more powerful interpretation of data through the recognition of random effects... 
Multilevel models (Statistics) | Regression analysis | Experimental design | Analysis of variance
Book
Journal of Management, ISSN 0149-2063, 2001, Volume 27, Issue 5, pp. 515 - 535
... and organizational commitment. Cross-level analyses using hierarchical linear modeling indicate that human resource practices affect the relationship between perceived... 
DECISIONS | MANAGEMENT | PSYCHOLOGICAL CONTRACT | BEHAVIOR | MANUFACTURING PERFORMANCE | BUSINESS | PERCEIVED ORGANIZATIONAL SUPPORT | MANAGEMENT-PRACTICES | LEADER-MEMBER EXCHANGE | PROCEDURAL JUSTICE | SOCIAL-EXCHANGE | TRUST | Business consultants | Management
Journal Article
Criminal Justice and Behavior, ISSN 0093-8548, 1/2017, Volume 44, Issue 1, pp. 85 - 102
... other. Here, two common methods, lagged dependent variable modeling and hierarchical generalized linear modeling, are contrasted... 
hierarchical generalized linear models | criminal offending | reentry | lagged dependent variable models | BIND | CRIME | TIES | CRIMINOLOGY & PENOLOGY | PSYCHOLOGY, CLINICAL | SUPPORT | PRISONER REENTRY | PREDICTORS | RACE | INCARCERATION | AGE
Journal Article
Organizational research methods, ISSN 1552-7425, 2016, Volume 5, Issue 4, pp. 362 - 387
For more than 40 years, SAGE has been one of the leading international publishers of works on quantitative research methods in the social sciences. This new... 
INTRAINDIVIDUAL CHANGES | CRITERIA | INTERINDIVIDUAL DIFFERENCES | MANAGEMENT | INDIVIDUAL CHANGE | PERFORMANCE | HIERARCHICAL LINEAR-MODELS | TIME | Regression analysis | Research | Random variables | Growth models | Freeware | Construction | Foundations | Regression | Mathematical models | Coefficients | Readers | Guidelines
Journal Article
Organizational Research Methods, ISSN 1094-4281, 07/2007, Volume 10, Issue 3, pp. 417 - 429
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 09/2011, Volume 59, Issue 9, pp. 4183 - 4198
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an l 1 -regularized linear regression problem, commonly referred to as Lasso or Basis Pursuit... 
Image coding | Dictionaries | Instruments | Collaboration | hierarchical models | Encoding | Data models | sparse models | Optimization | Collaborative coding | structured sparsity | REGRESSION | RECOVERY | LINEAR INVERSE PROBLEMS | APPROXIMATION | SIGNALS | ALGORITHMS | SELECTION | ENGINEERING, ELECTRICAL & ELECTRONIC | Fading channels | Technology application | Usage | Innovations | Signal processing | Linear models (Statistics) | Mathematical optimization | Linear regression models | Studies | Sparsity | Separation | Blocking | Regression | Data processing | Convergence
Journal Article
Signal Processing, ISSN 0165-1684, 10/2015, Volume 115, pp. 94 - 109
In sparse Bayesian learning (SBL), Gaussian scale mixtures (GSMs) have been used to model sparsity-inducing priors that realize a class of concave penalty... 
Underdetermined linear systems | Sparse signal representations | Hierarchical Bayesian modeling | Sparsity-inducing priors | Sparse Bayesian learning | REGRESSION | SCALE MIXTURES | ENGINEERING, ELECTRICAL & ELECTRONIC | GSM (Global System for Mobile Communications) | Analysis | Algorithms | Statistics - Machine Learning
Journal Article
Methodology, ISSN 1614-2241, 2005, Volume 1, Issue 3, pp. 86 - 92
An important problem in multilevel modeling is what constitutes a sufficient sample size for accurate estimation... 
Hierarchical linear model | Multilevel modeling | Sample size | Cluster sampling
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 03/2013, Volume 52, Issue 11, pp. 1 - 40
Journal Article