lme4 - CRAN.R-project.org

Chapter 5 Explanatory Item Response Models - UC Berkeley BEAR ...

Generalized Additive Models in Business and Economics

GLLAMM Manual - Biostatistics

Fitting Linear Mixed-Effects Models using lme4 - arXiv

Download the G*Power manual (PDF)

Statistical Methods in Credit Risk Modeling - Semantic Scholar

A general skew-t mixed model that allows different ... - UT Dallas

demographic models - К UN.ORG

Chapter 4 Analysis of Variance In this chapter we discuss analysis of ...

A Handbook of Statistical Analyses using Stata

Time series forecasting using a hybrid ARIMA and ... - CiteSeerX

Modeling Relationship Strength in Online Social ... - SNAP: Stanford

WhyWhere2.0: An R package for modeling species ... - viXra.org

A Handbook of Statistical Analyses using SPSS - Academia.dk

Predicting risk from financial reports with supervised topic models

“Huber Sandwich Estimator” and “Robust Standard Errors”

Learning to Locate Informative Features for Visual ... - CiteSeerX

An Introduction in Structural Equation Modeling - Joop Hox

Learning to Locate Informative Features for Visual Identification ...

Generalized Multivariate Rank Type Test Statistics via ... - UT Dallas

Efficient, Generalized Indoor WiFi GraphSLAM - Stanford Computer ...

Predicting Regular Season Results of NBA Teams Based on ...

Item Response Theory

A Bayesian analysis - Genetics Selection Evolution

Neural coding and the statistical modeling of ... - CNS @ NYU

Using lsmeans - MRAN

Performance Analysis for Quality Measures Using K means ...

Sample Size and Power Computations with the SAS ... - IDRE Stats

The Discrete Binomial Model for Option Pricing - Semantic Scholar

Gaussian Processes for Machine Learning

Affine Term Structure Models - Stanford University

R Project - useR! - The R Project for Statistical Computing

The Stata Journal - Semantic Scholar

Linear Programming Lecture Notes - Semantic Scholar

A Useful Microsoft Excel Add-in Program for Modeling Steady-state ...

Analyse Statistique de la Pollution par les PM10 en ... - HAL-Inria

The linear complementarity problem: Methods and applications - KTH

Variable Selection in Data Mining: Building a Predictive Model for ...

Maximum Likelihood Approach for Longitudinal Models with ...

count data regression using series expansions - Semantic Scholar

Ordinary Differential Equations and Dynamical Systems - Fakultät für ...

Generalized Canonical Variables - Semantic Scholar

Habitat-Modelle in der Wildökologie - Unil

Autoregressive with Exogenous Variables and - MDPI

How Computational Statistics Became the Backbone of Modern ...

Deep Gaussian Processes - Proceedings of Machine Learning ...

Introduction to Physical System Modelling - Semantic Scholar

Market Quality Breakdowns in Equities

Computer Vision: Algorithms and Applications - Szeliski.org

MODELING AND ESTIMATION OF SIGNALS AND ... - UT Dallas

Design of Digital Filters

The Fundamental Law of Active Management: Time Series ...

Modeling Operational Risk - KTH

Adaptive Stochastic Control for the Smart Grid - ResearchGate

Harvard University Department of Statistics, 2016-2017 ... - icdst

Modelling of single Sided Linear Induction Motor by ... - ResearchGate

Lesson Plan - San Jose State University

Forecasting Exchange Rate in India: An ... - Semantic Scholar

Working with Molecular Genetics Chapter 8. Recombination of DNA ...

A review of recent advances in global optimization - Mathematical ...

A Prospective Study of Leukocyte Telomere Length and ... - Diabetes

Pure Computable Model Theory

An Examination of Practical Granger Causality Inference

Segmental noun/verb phonotactic differences are productive too - icdst

Experimental Design and Analysis - CMU Statistics - Carnegie ...

Solving DSGE models with perturbation methods and a change of ...

An Optimized Reduced Order Model Using Interpolation Method and ...

Understanding social disparities in hypertension prevalence ...

Méthodes statistiques pour la modélisation des facteurs ... - icdst

Determining Energy Expenditure from Treadmill Walking using Hip ...

An Estimated Dynamic Stochastic General Equilibrium Model of the ...

Human-Centric Justification of Machine Learning Predictions - IJCAI

Governing Equations of Fluid Dynamics

A Mathematical Note on All-Productive, All ... - Semantic Scholar

ON THE NONASYMPTOTIC CONVERGENCE OF ... - Statistics

Performance Evaluation of Kernels in Multiclass ... - Semantic Scholar

Cross-selling through database marketing: a mixed data factor ...

IBM SPSS Regression 20 - CSUN

Instrumental Variables/Method of Moments Estimation - UMD Econ

Cardiovascular Fluid Mechanics - lecture notes - Materials Technology

HANDBOOK OF ELLIPSOMETRY

An Introduction to Topos Theory - Faculty of Physics University of ...

SPECTRAL ANALYSIS OF SIGNALS

Time series analysis

Predicting the Market Value of Single-Family Residential Real ...

Spirituality & Health - Penn Medicine - University of Pennsylvania

Identifying Taylor Rules - NYU Stern

Efficient Reactive Controller Synthesis for a Fragment of Linear ...

seismic modeling, inversion, and imaging in attenuating media

Non-Newtonian Fluids: An Introduction - Physics, IITM

The cartesian closed bicategory of generalised species of structures

graduate student handbook 2016-2017 - Department of Statistics

The Book of Abstracts - University of Michigan

General Relativity - damtp

Nonlocal linear image regularization and - Semantic Scholar

Approximating functions by Taylor Polynomials.

Directional Influence between the Human ... - Semantic Scholar

Generative Models for Discovering Sparse Distributed ...