Fitting Linear Mixed-Effects Models using lme4 - arXiv
lme4 - CRAN.R-project.org
A general skew-t mixed model that allows different ... - UT Dallas
Signal Detection Theory and Generalized Linear Models - Columbia ...
A Review of Time Critical Decision Making Models and Human ...
Chapter 5 Explanatory Item Response Models - UC Berkeley BEAR ...
GLLAMM Manual - Biostatistics
Mixed Integer Linear Programming in Process Scheduling: Modeling ...
Visualizable and Interpretable Regression Models With Good ...
Time series forecasting using a hybrid ARIMA - CiteSeerX
Experimental Design and Analysis - CMU Statistics - Carnegie ...
Computational Statistical Methods for Social Network Models
An Introduction to Partial Least Squares Regression - IDRE Stats
A Useful Microsoft Excel Add-in Program for Modeling Steady-state ...
Multi-Level Linear Modelling for FMRI Group Analysis Using ...
Affine Term Structure Models - Stanford University
An Optimized Reduced Order Model Using Interpolation Method and ...
A Handbook of Statistical Analyses using SPSS - Academia.dk
Theory and Use of the EM Algorithm Contents - Maya Gupta
1 Introduction - Wellcome Centre for Integrative Neuroimaging
Download the G*Power manual (PDF)
A COPULA-BASED JOINT MULTINOMIAL DISCRETE ...
A Quantitative Longitudinal Analysis of Exclusions from English ...
Modeling demographic and unobserved heterogeneity in air ...
A Mixed Multinomial Logit Model Analysis of Weekend Recreational ...
Solution of the DICE 2007 Integrated Assessment Model - viXra
A Smart Guide to Dummy Variables - IDRE Stats
Cross-selling through database marketing: a mixed data factor ...
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Exchange Rate Anomalies Under Model Misspecification: A Mixed ...
Modeling Relationship Strength in Online Social ... - SNAP: Stanford
Formal verification of analog and mixed signal designs: A survey ...
Mechanistic Modelling of Water Vapour Condensation in ... - KTH
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Unsupervised Learning of Finite Mixture Models - Data Clustering
Autoregressive with Exogenous Variables and Neural ... - MDPI
Modeling Operational Risk - KTH
Maximum Likelihood Approach for Longitudinal Models with ...
Program Analysis Using Mixed Term and Set Constraints
Optimizing Process Economics in Model Predictive Control
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Effectiveness of Probability Perception Modeling - Teamcore
game theory - UCLA Department of Mathematics
Application of Peleg model to study water absorption in chickpea ...
The linear complementarity problem: Methods and applications - KTH
Modeling in chemical engineering
A simulation study of arti"cial neural networks for nonlinear time ...
An Introduction to Event-triggered and Self-triggered Control - KTH
Mixed-interpolated elements for Reissner-Mindlin plates - MIT
Introducing Non-Normality of Latent Psychological Constructs in ...
Predicting the Path of Technological Innovation - University of ...
Computer Vision: Algorithms and Applications - Szeliski.org
Dynamics of porous media at finite strain - Stanford University
ABSTRACT Title of dissertation: THE STRUCTURE ... - Colin Phillips
Friction Modeling and Control in Boundary Lubrication - CiteSeerX
scientific calculator operation guide scientific calculator ... - Sharp
Developing acoustics models for automatic speech recognition
Trend Time–Series Modeling and Forecasting With Neural Networks
heat transfer inside internal combustion engine - Doria
Exploring critical realism as the theoretical foundation of mixed
Distributed Model Predictive Control: Theory ... - James B. Rawlings
Using lsmeans - icdst
Effective Solutions for Real-World Stackelberg Games - Teamcore
Residential Location Choice Modeling - Department of Civil ...
The Spatial Analysis of Activity Stop Generation Chandra Bhat and ...
Segmental noun/verb phonotactic differences are productive too - icdst
2SLS and OLS in a spatial autoregressive model with - CiteSeerX
A Fractional Split Distribution Model for Statewide Commodity Flow ...
Combining Nonlinear Biometric and Psychometric Models of ...
factor analysis as matrix - Semantic Scholar
A Choice Model with Infinitely Many Latent Features - Cambridge ...
Tutorial: Introduction to Hyperspectral Imaging - MicroImages
Finite Element Implementation - (CAAM) | Rice University
seismic modeling, inversion, and imaging in attenuating media
The Book of Abstracts - University of Michigan
Bounds in Competing Risks Models and the War on Cancer
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The Multiple Discrete-Continuous Extreme Value (MDCEV) Model ...
A Handbook of Statistical Analyses using Stata
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Comparison of Engine Calibration Methods Based on Design of ...
Shiny Correspondence: Multiple-View Features for Non ... - UCLA CS
a comprehensive, unified, framework for analyzing spatial location
Improving Resource Allocation Strategies Against ... - CS UTEP
An Introduction to Computational Neuroscience - UTSA
A review of recent advances in global optimization - Mathematical ...
Newton's law of viscosity
MICCAI Workshop on Imaging Genetics - MICGen - MIT
Pure Computable Model Theory
P9489 Practicals and Exercises Spring 2013 - Columbia University
IBM SPSS Statistics 21 Brief Guide - University of Sussex
FORECASTING FOREIGN EXCHANGE RATES WITH ARTIFICIAL ...
Computing Solutions in Infinite-Horizon Discounted Adversarial ...
Emotion Regulation in the Workplace - Penn State PHP Service
Towards the Automatic Analysis of Complex Human Body Motions ...
Serial vs. Parallel Processing - Indiana University Bloomington
Sample Size and Power Computations with the SAS ... - IDRE Stats
Assessing the impact of Market Splitting in Germany - Harvard ...
Non-Newtonian Fluids: An Introduction - Department of Physics
Dielectric response and partial discharge - DiVA portal

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