Sentence examples for estimating a regression from inspiring English sources

Panel b displays the results from estimating a regression in two stages.

The problem of estimating a regression function based on a regression model with (known) random design is considered.

The Direct Weight Optimization (DWO) approach to estimating a regression function is studied here for the class of approximately linear functions, i.e., functions whose deviation from an affine function is bounded by a known constant.

Estimating a regression of any type without this salient information might show a "network effect" if one school is next to a fast food restaurant and another is not.

The method has been directly motivated by the locally weighted regression that estimates a regression surface through multivariate smoothing.

We estimate a regression with the wage as the dependent variable and a cubic in tenure as the independent variables.

We wish to estimate a regression parameter or predict the sum of all N values of an endogeneous variable based on a sample of n (n

First, I estimate a regression coefficient for every pair of (standardized) log daily wages of the same worker (i) in two different years.

We first estimated a regression model of the probability of having an episode of a study condition over the full sample of Medicare beneficiaries over all three years as a function of age, gender, and race.

For this purpose, we estimate a regression model of occupational rates as a function of average productivity, controlling for unemployment rates and for time and region fixed effects, using the AACC data.

We wish to determine which country characteristics matter, and we estimated a regression equation of HIV incidence (probability of contracting HIV), against country characteristics variables such as GDP per capita, literacy, Voice & accountability indicators, government effectiveness, inequality, and poverty levels.