= Weighted Least Squares by NIST
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https://www.itl.nist.gov/div898/handbook/pmd/section4/pmd432.htm
NIST/SEMATECH e-Handbook of Statistical Methods, section 4.4.3.2. The General WLS Criterion minimizes a weighted sum of squared residuals with fixed observations and weights. The centering identities in the article are derived explicitly from the intercept-only instance of this criterion, rather than asserted to be displayed by the source.
https://www.itl.nist.gov/div898/handbook/pmd/section1/pmd143.htm[§4.1.4.3, Disadvantages of Weighted Least Squares]: weights estimated from few replicates can adversely affect inference. https://www.itl.nist.gov/div898/handbook/pmd/section4/pmd452.htm[§4.4.5.2, Direct Estimation of Weights and Estimating Weights with a Variance Function]: replicate variances and smooth variance-function models are distinct weight-estimation approaches.
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