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Repeated-Measures ANOVA and the Sphericity Assumption
Repeated-measures ANOVA is among the most widely used designs in clinical and behavioral research — tracking the same subjects over time or across conditions. Yet one of its central assumptions, sphericity, is routinely misunderstood, mechanically tested with an inadequate test, and patched with a correction that does not fix the underlying problem.
Flow and Friction
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world_cup_sweepstakes
Informe final def
Log-linear Modeling of Nematodirus Infection Intensity in Sheep
Nematodirus infection intensity in Wyoming sheep is a useful applied setting for comparing categorical and count-based modeling strategies. The response is the number of sheep in ordered infection-intensity categories within each farm. A multinomial model is a natural starting point because the counts are allocated across mutually exclusive categories, but a log-linear formulation is more flexible for modeling overdispersion, farm-level clustering, and zero inflation. This report presents a staged analysis using multinomial, Poisson, negative binomial, heterogeneous-dispersion negative binomial, mixed-effects negative binomial, and zero-inflated negative binomial models. The final selected model was a negative binomial log-linear model with heterogeneous dispersion and a farm-level random intercept.
taller #3
Danna, Jhonny, Jacobo
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Trabajo de Investigación_EMA118
Trabajo de Investigación de Econometría sobre los determinantes de la Valuación de Jugadores en el Mercado del Futbol, propuesto por el sub-grupo 07