Results 51 to 60 of about 23,103 (324)

Allele frequency misspecification: effect on power and Type I error of model-dependent linkage analysis of quantitative traits under random ascertainment

BMC Genetics, 2006
Background Studies of model-based linkage analysis show that trait or marker model misspecification leads to decreasing power or increasing Type I error rate.
Wilson Alexander F, Atwood Larry D, Sorant Alexa JM, Mandal Diptasri M, Bailey-Wilson Joan E   +4 more
doaj   +1 more source

Accuracy of attribute estimation in the crossed random effects linear logistic test model: impact of Q-matrix misspecification

Frontiers in Education
A simulation study is designed to explore the accuracy of attribute parameter estimation in the crossed random effects linear logistic test model (CRELLTM) with the impact of Q-matrix misspecification on attribute parameter estimation using the SAS ...
Yi-Hsin Chen, Isaac Y. Li, Chunhua Cao, Yan Wang   +3 more
doaj   +1 more source

Power Analysis for Parameter Estimation in Structural Equation Modeling: A Discussion and Tutorial

Advances in Methods and Practices in Psychological Science, 2021
Despite the widespread and rising popularity of structural equation modeling (SEM) in psychology, there is still much confusion surrounding how to choose an appropriate sample size for SEM.
Y. Andre Wang, Mijke Rhemtulla
doaj   +1 more source

Bias of the Quasi Score Estimator of a Measurement Error Model Under Misspecification of the Regressor Distribution [PDF]

, 2003
In a structural error model the structural quasi score (SQS) estimator is based on the distribution of the latent regressor variable. If this distribution is misspecified the SQS estimator is (asymptotically) biased.
Cheng, Chi-Lun, Schneeweiß, Hans
core   +1 more source

Robust optimal designs using a model misspecification term [PDF]

, 2023
Much of classical optimal design theory relies on specifying a model with only a small number of parameters. In many applications, such models will give reasonable approximations.
Miller, Frank,, Renata Eirini Tsirpitzi, Burman, Carl-Fredrik,, Burman, Carl-Fredrik, Tsirpitzi, Renata Eirini,, Miller, Frank, Tsirpitzi, Renata Eirini, Frank Miller, Carl-Fredrik Burman   +8 more
core   +1 more source

Regularized calibrated estimation of propensity scores with model misspecification and high-dimensional data [PDF]

Biometrika, 2017
Propensity scores are widely used with inverse probability weighting to estimate treatment effects in observational studies. We study calibrated estimation as an alternative to maximum likelihood estimation for fitting logistic propensity score models.
Z. Tan
semanticscholar   +1 more source

HyungeunOh/Measurement-Model-Misspecification-in-DSEMs: Measurement Model Misspecification in DSEMS_Data Generation [PDF]

<p>Data generation code</p ...
Hyungeun Oh
core   +1 more source

Are all meats substitutes? A basket‐and‐expenditure‐based approach

Agribusiness, EarlyView.
Abstract This study examines the relationship among animal‐based meat and plant‐based meat alternatives (PBMAs) using a basket‐and‐expenditure‐based choice experiment. In particular, we examine whether animal‐based meat products are substitutes or complements with PBMAs.
Clinton L. Neill, Logan L. Britton
wiley   +1 more source

Target Matrix Estimators in Risk-Based Portfolios

Risks, 2018
Portfolio weights solely based on risk avoid estimation errors from the sample mean, but they are still affected from the misspecification in the sample covariance matrix.
Marco Neffelli
doaj   +1 more source

The Relationship Between Interest Rates and Agricultural Commodity Price Dynamics

Agribusiness, EarlyView.
ABSTRACT The U.S. Federal Reserve has undertaken several interest rate interventions in the past decade. This study explores the relationship between U.S. corn and soybean prices and Federal Reserve monetary policy interventions, in the short and long run.
Zhining Sun, Ani L. Katchova
wiley   +1 more source