Results 31 to 40 of about 77,552 (290)
Consequences of Model Misspecification for Maximum Likelihood Estimation with Missing Data
Econometrics, 2019 Researchers are often faced with the challenge of developing statistical models with incomplete data. Exacerbating this situation is the possibility that either the researcher’s complete-data model or the model of the missing-data mechanism is ...
Richard M. Golden +3 more
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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 +4 more
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Frontiers in EducationA 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 +3 more
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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
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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
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Model‐Driven Optimization of Subcutaneous Polymer Prodrugs Achieves Cancer Remission in Mice
Advanced Healthcare Materials, EarlyView.A pharmacokinetics/pharmacodynamics (PK/PD) model was developed to evaluate multiple dosing regimens for subcutaneously administered water‐soluble polymer prodrug for cancer therapy. The model enabled prediction of in vivo performance and contributed to the optimization of anticancer efficacy.
Anne Rodallec +5 more
wiley +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
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Generalized Information Matrix Tests for Detecting Model Misspecification
Econometrics, 2016 Generalized Information Matrix Tests (GIMTs) have recently been used for detecting the presence of misspecification in regression models in both randomized controlled trials and observational studies.
Richard M. Golden +3 more
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Inference in Dynamic Discrete Choice Problems under Local Misspecification
, 2018 Single-agent dynamic discrete choice models are typically estimated using heavily parametrized econometric frameworks, making them susceptible to model misspecification.
Bugni, Federico A., Ura, Takuya
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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