Results 311 to 320 of about 1,319,586 (359)

Extending the Linear Model With R: Generalized Linear, Mixed Effects and Nonparametric Regression Models

Journal of the American Statistical Association, 2007
cover point processes in the modern sense of random measures. This chapter also is more technical than the subsequent two on Markov processes. Chapter 4 (on discrete-time countable state Markov processes) is extremely short.
J. Ormerod
openaire   +2 more sources

Rényi statistics for testing hypotheses in mixed linear regression models

Journal of Statistical Planning and Inference, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Molina, I., Morales, D.
openaire   +2 more sources

A new stochastic mixed ridge estimator in linear regression model

Statistical Papers, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Yalian, Yang, Hu
openaire   +2 more sources

Generalized linear mixed model for monitoring autocorrelated logistic regression profiles

The International Journal of Advanced Manufacturing Technology, 2012
Profile monitoring is used to monitor the regression relationship between a response variable and one or more explanatory variables over time. Many researches have been done in this area, but in most of them, the distribution of the response variable is assumed to be normal. However, this assumption is violated in many real case problems.
Mehdi Koosha, Amirhossein Amiri
openaire   +1 more source

Stepwise Regression in Mixed Quantitative Linear Models with Autocorrelated Errors

Communications in Statistics - Simulation and Computation, 2006
ABSTRACT In the stepwise procedure of selection of a fixed or a random explanatory variable in a mixed quantitative linear model with errors following a Gaussian stationary autocorrelated process, we have studied the efficiency of five estimators relative to Generalized Least Squares (GLS): Ordinary Least Squares (OLS), Maximum Likelihood (ML ...
Gülhan Alpargu, Pierre Dutilleul
openaire   +1 more source

Several nonparametric and semiparametric approaches to linear mixed model regression

Journal of Statistical Computation and Simulation, 2013
Mixed models are powerful tools for the analysis of clustered data and many extensions of the classical linear mixed model with normally distributed response have been established. As with all parametric (P) models, correctness of the assumed model is critical for the validity of the ensuing inference.
Megan J. Waterman, Jeffrey B. Birch, Abdel-Salam G. Abdel-Salam   +2 more
openaire   +1 more source

Principal components regression and r-k class predictions in linear mixed models

Linear Algebra and its Applications, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Özkale M.R., Kuran Ö.
openaire   +2 more sources

Linear Mixed Model Robust Regression

2014
Ph. D.
openaire   +1 more source

A new stochastic mixed Liu estimator in linear regression model

Communications in Statistics - Theory and Methods, 2018
To overcome multicollinearity, a new stochastic mixed Liu estimator is presented and its efficiency is considered.
openaire   +1 more source

Modified stochastic weighted mixed estimator for linear regression model

AIP Conference Proceedings, 2023
Mahmoud H. Eiada AL_Hayani, Mustafa I. Alheety   +1 more
openaire   +1 more source