Stata tip 96: Cube roots

TL;DR: In this article, Box-Cox and arctangent transformations were used to alleviate long tails in frequency distributions of morphometric variables, which minimized the skewness of slope gradient frequency distributions, and modified the kurtosis of profile and plan curvature distributions toward that of the Gaussian normal model.

TL;DR: This article found that an increase in the strength of local food systems, whether measured as the number of farms that market products directly to consumers, or as the total value of direct market products, has been associated with a decrease in spending on agricultural chemicals in the USA as a whole.

TL;DR: Transforming a non-negative dependent variable with zeros leads to biased parameter estimates and unreliable marginal effects.

TL;DR: The Handbook of Nonlinear Regression Models as discussed by the authors is a popular reference for nonlinear regression models and has been used extensively in the field of machine learning and computer vision research, e.g. as discussed by the authors.

TL;DR: In this paper, the author takes the reader on a long and fascinating journey through the major realms of arithmetic, algebra, geometry, trigonometry, and calculus, to the final destination of differential equations, with excursions into mathematical logic, set theory, topology, fractals, probability, and assorted other mathematical byways.

TL;DR: This is a tutorial on the cond() function, giving explanations and examples and assessing its advantages and limitations.

TL;DR: This column focuses on the statistical mainstream defined by regression models for continuous responses, treated in a broad sense to include (for example) generalized linear models.