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How to run R-style linear regressions in Python the easy way

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...
JSTOR Daily

Identification and estimation of partially linear censored regression models with unknown heteroscedasticity

In this paper, we introduce a new identification and estimation strategy for partially linear regression models with a general form of unknown heteroscedasticity, that is, Y = X'β₀ + m(Z) + U and U = ...
Nature

Estimation Techniques in Linear Regression Models

Linear regression remains a cornerstone of statistical analysis, offering a framework for modelling relationships between a dependent variable and one or more independent predictors. Over the past ...
JSTOR Daily

An Edgeworth Test Size Correction for the Linear Model with AR(1) Errors

Rothenberg's (1984) Edgeworth size correction is applied to tests of linear hypotheses in the linear regression model with AR(1) errors. Previous simulation findings on the effect of autocorrelation ...
lse

Regression and Generalised Linear Models

This course is available on the BSc in Actuarial Science, BSc in Actuarial Science (with a Placement Year), BSc in Data Science, BSc in Financial Mathematics and Statistics, BSc in Mathematics with ...
lse

Econometric Analysis

This course is compulsory on the MSc in Econometrics and Mathematical Economics. This course is available on the MRes in Economics, MRes in Economics and Management, MRes in Management (Marketing) and ...