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Journal of Agricultural and Resource Economics, 1994 This study presents an empirical method of modeling the nonnegativity of dependent variables using truncated logistic and normal disturbance distributions. The method is applied in estimating a ranch land hedonic price function.
Feng Xu +2 more
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Robustness of Regularized Regression Methods Under Compound Model Misspecification: A Simulation Benchmarking Study [PDF]
Tutorials in Quantitative Methods for PsychologyRegularized regressions are widely used in psychological research where the fitted model is assumed to be correctly specified. Yet, psychological data routinely violates assumptions of linearity, homoscedasticity and additivity which raises questions ...
Ramazan, Onur, Lui, Yiu Wa
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Specifying Turning Point in Piecewise Growth Curve Models: Challenges and Solutions
Frontiers in Applied Mathematics and Statistics, 2017 Piecewise growth curve model (PGCM) is often used when the underlying growth process is not linear and is hypothesized to consist of phasic developments connected by turning points (or knots or change points).
Ling Ning, Wen Luo
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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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Stats, 2022 Structural equation models (SEM), or confirmatory factor analysis as a special case, contain model parameters at the measurement part and the structural part.
Alexander Robitzsch
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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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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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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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On the pitfalls of Gaussian likelihood scoring for causal discovery
Journal of Causal Inference, 2023 We consider likelihood score-based methods for causal discovery in structural causal models. In particular, we focus on Gaussian scoring and analyze the effect of model misspecification in terms of non-Gaussian error distribution. We present a surprising
Schultheiss Christoph, Bühlmann Peter
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MathematicsRamsey’s RESET test is widely used as an omnibus diagnostic for model misspecification, yet its reliability may be affected by temporal aggregation, autoregressive persistence, and the statistical properties of financial time series.
Christos Christodoulou-Volos +1 more
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