This paper develops a theory of estimating parameters of a generated regressor model in which some explanatory variables in the equation of interest are the unknown conditional means of certain ...

This is a preview. Log in through your library . Abstract This paper deals with the estimation of the mean of a spatial population. Under a design-based approach to inference, an estimator assisted by ...

Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...

Osaka Metropolitan University researchers developed a technique to improve machine learning reliability and estimation results of gravitational wave parameters.

This article develops five regression models to estimate pipeline construction component costs for different types of pipelines in different regions. Researchers have long used historical pipeline ...

The LIFE-T1D model, demonstrated an ability to estimate the lifetime risk of heart disease among several groups of people with type 1 diabetes (T1D). Researchers have developed a tool they say can ...

Mayo Clinic scientists have developed a new method to predict Alzheimer's risk decades before symptoms appear, using brain scans and genetics to estimate a 10-year likelihood.