Search Results - subject:"bias–precision tradeoff"

Regression with imputed covariates: A generalized missing-indicator approach

Dardanoni, Valentino; Modica, Salvatore; Peracchi, Franco - HAL - 2011

complete-case analysis. Given this augmented model, the bias-precision trade-off may then be tackled by either model reduction …

Persistent link: https://www.econbiz.de/10010821074

Regression with imputed covariates: A generalized missing-indicator approach

Dardanoni, Valentino; Modica, Salvatore; Peracchi, Franco - HAL - 2011

complete-case analysis. Given this augmented model, the bias-precision trade-off may then be tackled by either model reduction …

Persistent link: https://www.econbiz.de/10010640491

Regression with Imputed Covariates:a Generalized Missing Indicator Approach

Dardanoni, Valentino; Modica, Salvatore; Peracchi, Franco - Centro di Studi Internazionali Sull'Economia e la … - 2009

complete-case analysis. Given this augmented model, the bias-precision trade-off may then be tackled by either model reduction …

Persistent link: https://www.econbiz.de/10008479247

A generalized missing-indicator approach to regression with imputed covariates

Dardanoni, Valentino; Luca, Giuseppe De; Modica, Salvatore - In: Stata Journal 12 (2012) 4, pp. 575-604

We consider estimation of a linear regression model using data where some covariate values are missing but imputations are available to fill in the miss- ing values. This situation generates a tradeoff between bias and precision when estimating the regression parameters of interest. Using only...

Persistent link: https://www.econbiz.de/10010630743

Improvements in Maximum Likelihood Estimators of Truncated Normal Samples with Prior Knowledge of σ. A Simulation Based Study with Application to Historical Height Samples

A'Hearn, Brian; Komlos, John - 2003

TML estimators in relation to several population and sample parameters. The results provide general insight into the bias-precision … tradeoff in restricted estimation and a specific practical guide to optimal estimator choice for researchers in anthropometrics. …

Persistent link: https://www.econbiz.de/10010427385

Improvements in Maximum Likelihood Estimators of Truncated Normal Samples with Prior Knowledge of σ

A'Hearn, Brian; Komlos, John - Volkswirtschaftliche Fakultät, … - 2003

Persistent link: https://www.econbiz.de/10005649781

Improvements in maximum likelihood estimators of truncated normal samples with prior knowledge of σ : a simulation based study with application to historical height samples

A'Hearn, Brian; Komlos, John - 2003

Persistent link: https://www.econbiz.de/10010440937