Search Results - subject:"bias and variance"

Feature-based inventory control with censored demand

Ding, Jingying; Huh, Woonghee Tim; Ying, Rong - In: Manufacturing & service operations management : M & SOM 26 (2024) 3, pp. 1157-1172

Persistent link: https://www.econbiz.de/10014536812

Forecasting the real prices of crude oil : a robust weighted least squares approach

Wang, Yudong; Hao, Xianfeng - In: Energy economics 116 (2022), pp. 1-18

Persistent link: https://www.econbiz.de/10013542061

Improving the Quality of Data and Impact-Evaluation Studies in Developing Countries

Stecklov, Guy; Weinreb, Alex - Inter-American Development Bank - 2010

While the science of program evaluation has come a tremendous distance in the past couple of decades, measurement error remains a serious concern and its implications are often poorly understood by both data collectors and data analysts. The primary aim here is to offer a type of...

Persistent link: https://www.econbiz.de/10009198981

Improving the Quality of Data and Impact-Evaluation Studies in Developing Countries

Stecklov, Guy; Weinreb, Alex - Inter-American Development Bank - 2010

Persistent link: https://www.econbiz.de/10010653459

Data sharpening methods in multivariate local quadratic regression

Wang, Xiaoying; Jiang, Song; Yin, Junping - In: Journal of Multivariate Analysis 105 (2012) 1, pp. 258-275

This paper is concerned with the conditional bias and variance of local quadratic regression to the multivariate … mainly the fitting precision, we extend their results on the asymptotic bias and variance. Using the data sharpening … bias and variance of the estimator at the interior and boundary points of the support of the density function. …

Persistent link: https://www.econbiz.de/10010572301

Variable Bandwidth Selection in Varying-Coefficient Models

Zhang, Wenyang; Lee, Sik-Yum - In: Journal of Multivariate Analysis 74 (2000) 1, pp. 116-134

The varying-coefficient model is an attractive alternative to the additive and other models. One important method in estimating the coefficient functions in this model is the local polynomial fitting approach. In this approach, the choice of bandwidth is crucial. If the unknown curve is spatial...

Persistent link: https://www.econbiz.de/10005093730