Pages that link to "Item:Q1373985"

The following pages link to Bias correction for a class of multivariate nonlinear regression models (Q1373985):

Displaying 33 items.

• A bias corrected nonparametric regression estimator (Q419220) (← links)
• Improved maximum likelihood estimators in a heteroskedastic errors-in-variables model (Q451517) (← links)
• Elliptical regression models for multivariate sample-selection bias correction (Q530380) (← links)
• Bias and skewness in a general extreme-value regression model (Q901507) (← links)
• Improved point and interval estimation for a beta regression model (Q1010437) (← links)
• The second-order bias and mean squared error of nonlinear estimators (Q1126480) (← links)
• A generic algorithm for reducing bias in parametric estimation (Q1952093) (← links)
• Corrected maximum-likelihood estimation in a class of symmetric nonlinear regression models (Q1970825) (← links)
• Improved estimation for a new class of parametric link functions in binary regression (Q2188756) (← links)
• Bias correction in a multivariate normal regression model with general parameterization (Q2270864) (← links)
• A third-order bias corrected estimate in generalized linear models (Q2384660) (← links)
• Multiplicative bias corrected nonparametric smoothers (Q2417434) (← links)
• Location-adjusted Wald statistics for scalar parameters (Q2419152) (← links)
• Erratum to: ``Using the criterion-predictor factor model to compute the probability of detecting prediction bias with ordinary least squares regression'' (Q2442112) (← links)
• Improved maximum-likelihood estimation in a regression model with general parametrization (Q3087832) (← links)
• Bias-Corrected Maximum Likelihood Estimators in Nonlinear Heteroscedastic Models (Q3396352) (← links)
• Nearly unbiased estimation in a biparametric exponential family (Q3518393) (← links)
• Corrected maximum likelihood estimators in heteroscedastic symmetric nonlinear models (Q3564775) (← links)
• Using Maple and Mathematica to derive bias corrections for two parameter distributions (Q3638589) (← links)
• Improved estimators for generalized linear models with dispersion covariates (Q4253264) (← links)
• on the second-order bias of parameter estimates in nonlinear regression models with student<i>t</i>errors (Q4253292) (← links)
• Second-order biases of the maximum likelihood estimates in von Mises regression models (Q4266728) (← links)
• Approximate bias for multivariate nonlinear heteroscedastic regressions (Q4383720) (← links)
• BIAS in linear regression models with unknown covariance matrix (Q4387670) (← links)
• Bias corrected estimates in multivariate student t regression models (Q4550610) (← links)
• (Q4616003) (← links)
• Bias correction in the cox regression model (Q4673866) (← links)
• Bias correction and improved residuals for non-exponential family nonlinear models (Q4883439) (← links)
• Estimators corrected for covariances among linear regressions (Q4935440) (← links)
• On improved estimation in multivariate Dirichlet regressions (Q5078057) (← links)
• Analytic bias correction for maximum likelihood estimators when the bias function is non-constant (Q5086128) (← links)
• Corrected estimates for Student<i>t</i>regression models with unknown degrees of freedom (Q5460689) (← links)
• On solving bias‐corrected non‐linear estimation equations with an application to the dynamic linear model (Q6064120) (← links)