On the General Theory of Skew Correlation and Non-Linear Regression

By K. Pearson. 2010

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A Brief Review of Tests for Normality (2016, background): “To quote Pearson (1905) ‘Even towards the end of the nineteenth century not all were convinced of the need for curves other than normal.’”
Ratings and rankings: voodoo or science? (2011, methodology): “Following Pearson (1905), we consider the question ‘what would be the average variance of y, if variable xi were held fixed?’”
Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2017, methodology): “Incidentally, this measure was originally proposed by Karl Pearson to measure nonlinear dependence between random variables (Pearson, 1905).”
The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020, unknown): “Such a ‘variance-based ’ SA was first conceived in the context of non-linear dependence as far back as 1905 (Pearson, 1905), and later in terms of a Fourier analysis in the 70s (Cukier et al., 1978).”