The following pages link to Bias in nonlinear regression (Q3795078):
Displaying 40 items.
- Reducing bias and mean squared error associated with regression-based odds ratio estimators (Q451217) (← links)
- Improved maximum likelihood estimators in a heteroskedastic errors-in-variables model (Q451517) (← links)
- A unified method to calculate the moments of the least squares estimators in nonlinear regression (Q911188) (← links)
- Quantile dispersion graphs for evaluating and comparing designs for logistic regression models (Q951906) (← links)
- Improved estimators for a general class of beta regression models (Q962267) (← links)
- Improved point and interval estimation for a beta regression model (Q1010437) (← links)
- A graphical approach for evaluating and comparing designs for nonlinear models. (Q1128897) (← links)
- Towards a nonparametric test of linearity for times series (Q1299551) (← links)
- Geometry of exponential type regression models and asymptotic inference (Q1319144) (← links)
- Bias correction for a class of multivariate nonlinear regression models (Q1373985) (← links)
- Bias of LS estimators in nonlinear regression models with constraints. II: Biadditive models. (Q1775171) (← 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)
- Location-adjusted Wald statistics for scalar parameters (Q2419152) (← links)
- On diagnostics in symmetrical nonlinear models (Q2485559) (← links)
- The improvement of the biased estimate of the nonlinear model parameter (Q2774419) (← links)
- Bias Correction in the Type I Generalized Logistic Distribution (Q3015863) (← links)
- Generalized Weibull Linear Models (Q3064106) (← links)
- Improved maximum-likelihood estimation in a regression model with general parametrization (Q3087832) (← links)
- Bias correction for exponential family nonlinear modles (Q3135463) (← links)
- Jackknifing and bootstrapping quasi–likelihood estimators (Q3350558) (← links)
- Bias-Corrected Maximum Likelihood Estimators in Nonlinear Heteroscedastic Models (Q3396352) (← links)
- Nearly unbiased estimation in a biparametric exponential family (Q3518393) (← links)
- Bias Correction in Generalized Nonlinear Models with Dispersion Covariates (Q3526076) (← links)
- Corrected maximum likelihood estimators in heteroscedastic symmetric nonlinear models (Q3564775) (← links)
- Adjusted Pearson residuals in exponential family nonlinear models (Q3636780) (← links)
- Using Maple and Mathematica to derive bias corrections for two parameter distributions (Q3638589) (← links)
- Asymmetry of estimators in nonlinear regression (Q3771424) (← 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)
- BIAS in linear regression models with unknown covariance matrix (Q4387670) (← links)
- Bias corrected estimates in multivariate student t regression models (Q4550610) (← links)
- Bias correction and improved residuals for non-exponential family nonlinear models (Q4883439) (← links)
- Biases in bias elicitation (Q5076927) (← links)
- On improved estimation in multivariate Dirichlet regressions (Q5078057) (← links)
- Corrected estimates for Student<i>t</i>regression models with unknown degrees of freedom (Q5460689) (← links)
- Bias in parametric estimation: reduction and useful side-effects (Q6604399) (← links)
