Pages that link to "Item:Q4970714"
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The following pages link to Using the Box-Cox t distribution in GAMLSS to model skewness and kurtosis (Q4970714):
Displaying 20 items.
- Box-Cox symmetric distributions and applications to nutritional data (Q1622111) (← links)
- Function compositional adjustments of conditional quantile curves (Q1658396) (← links)
- Bucket plot: a visual tool for skewness and kurtosis comparisons (Q2083417) (← links)
- Automatic differentiation of Box-Cox transformations with application to random effects models for continuous non-normal response (Q2084327) (← links)
- Pragmatic model transformations for analyzing bounded and positive responses (Q2088831) (← links)
- Box-Cox elliptical distributions with application (Q2312027) (← links)
- Box-Cox \(t\) random intercept model for estimating usual nutrient intake distributions (Q2324285) (← links)
- A semiparametric approach for joint modeling of median and skewness (Q2348717) (← links)
- Discussion: A comparison of GAMLSS with quantile regression (Q4970822) (← links)
- Non-nested hypothesis testing inference for GAMLSS models (Q5106846) (← links)
- A primer on Bayesian distributional regression (Q5142206) (← links)
- GAMLSS: A distributional regression approach (Q5142208) (← links)
- Principal component regression in GAMLSS applied to Greek–German government bond yield spreads (Q6078174) (← links)
- Quantile modeling through multivariate log‐normal/independent linear regression models with application to newborn data (Q6091671) (← links)
- An extension of the partially linear Rice regression model for bimodal and correlated data (Q6155660) (← links)
- A comparison of statistical methods for age-specific reference values of discrete scales (Q6181855) (← links)
- Statistical methodology for constructing gestational age-related charts using cross-sectional and longitudinal data: the INTERGROWTH-\(21^{st}\) project as a case study (Q6625136) (← links)
- Commentary: Methods for calculating growth trajectories and constructing growth centiles (Q6625140) (← links)
- GAMLSS for high-variability data: an application to liver fibrosis case (Q6636057) (← links)
- P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions (Q6669945) (← links)
