Results 91 to 100 of about 3,367,709 (291)

Stochastic Restricted Modified Mixed Logistic Estimator

open access: yesAustrian Journal of Statistics
In this study, we introduce a new estimator named the Stochastic Restricted Modified Mixed Logistic Estimator (SRMMLE), which is specifically designed to handle multicollinearity within the framework of stochastic linear restrictions.
Kayathiri Thayaparan   +2 more
doaj   +1 more source

Maximum Likelihood Estimation of the I(2) Model under Linear Restrictions [PDF]

open access: yesEconometrics, 2017
Estimation of the I(2) cointegrated vector autoregressive (CVAR) model is considered. Without further restrictions, estimation of the I(1) model is by reduced-rank regression (Anderson (1951)). Maximum likelihood estimation of I(2) models, on the other hand, always requires iteration.
openaire   +4 more sources

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola   +11 more
wiley   +1 more source

MIXED-EFFECT MODELS WITH RESTRICTED MAXIMUM LIKELIHOOD (REML), BOOT-STRAPPED REML AND BAYESIAN INFERENCE IN APPLICATION OF GAPMINDER DATA

open access: yesBarekeng
Mixed effects model combines fixed effects and random effects, allowing for the analysis of data with both fixed and random variations. This modeling approach is widely utilized across various fields.
Asysta Amalia Pasaribu   +2 more
doaj   +1 more source

The Genetic Parameters for Milk, Fat and Protein Yields in Holstein Cows

open access: yesScientific Papers Animal Science and Biotechnologies, 2023
The aim of this study was to analyse methodology of genetic parameters estimation and breeding value prediction for milk, fat and protein yield in the first lactation of Holstein cattle using Best Linear Unbiased Prediction procedure- Restricted Maximum ...
Rodica Stefania Pelmus   +5 more
doaj  

Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models [PDF]

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 2010
SummaryRecent work by Reiss and Ogden provides a theoretical basis for sometimes preferring restricted maximum likelihood (REML) to generalized cross-validation (GCV) for smoothing parameter selection in semiparametric regression. However, existing REML or marginal likelihood (ML) based methods for semiparametric generalized linear models (GLMs) use ...
openaire   +1 more source

Likelihood ratio tests for fixed model terms using residual maximum likelihood

open access: yes, 1997
Likelihood ratio tests for fixed model terms are proposed for the analysis of linear mixed models when using residual maximum likelihood estimation. Bartlett-type adjustments, using an approximate decomposition of the data, are developed for the test ...
Welham, S. J., Thompson, R.
core   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

open access: yesMolecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller   +10 more
wiley   +1 more source

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