The Advanced Theory of Statistics. I. Distribution Theory

By S. S. Wilks, M. Kendall, A. Stuart. 1959

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Mathematics in signal processing V (2003, background): “For instance, if all the z i are mutually independent, then C z ij..ℓ = δ(i, j, ..ℓ) C z ii..i [48] (Kendall and Stuart 1977 ), where the Kronecker δ is null unless all its arguments are equal.”
The clustering of luminous red galaxies in the Sloan Digital Sky Survey imaging data (2006, unknown): “It is useful to apply Fisher’s z-transform (Kendall & Stuart 1977; Press et al. 1992): z = 1 2 log ( 1 + r 1 − r ) , (37) which is well described (for l 50) by a Gaussian with mean, 〈z〉 = 1 2 log ( 1 + rtrue 1 − rtrue ) + rtrue 2(N − 1) , (38) and standard deviation, σ (z) ≈ 1√ N − 3 , (39) where N…”