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Was it McKay or McCay? Both spellings are used. McKay 13:18, 21 July 2006 (UTC) That would be Michael McKay, recently retired from Los Alamos National Lab, and Richard Beckman, who retired a few years ago. I imagine Conover also worked with them in the Statistics Division there, but I never knew him. I'm new to Wikipedia, and wonder why they are not credited with the idea, since their publication is 2 years before the other one. Sgeubank 01:13, 4 November 2006 (UTC) reply

I think that Iman and Conover co-invented LHS and that Iman was Conover's PhD student. This article's author should check with Inam or Conover. (I first learned of LHS at a presentation by Iman in 1980.) JDR 69.140.135.184 14:55, 11 June 2007 (UTC) reply

The article writes : "The technique was first described by McKay in 1979.". But, technically, the paper is by "McKay et al.", not "McKay" alone. — Preceding unsigned comment added by 86.72.115.214 ( talk) 14:51, 23 March 2013 (UTC) reply

"orthogonal sampling ensures that the ensemble of random numbers is a very good representative of the real variability" "LHS ensures that the ensemble of random numbers is representative of the real variability" Is one being stated as a better representation of real variablity to the other? If so is "very good" better or worse than "is?" Halconen ( talk) 22:51, 5 May 2011 (UTC) reply

I can't tell what is being stated here at all, or on what basis. Certainly basic random sampling does have some statistical guarantees, and this passage does not describe or explain how the other methods improve on these guarantees. — Preceding unsigned comment added by 192.249.47.208 ( talk) 18:23, 5 December 2013 (UTC) reply

The figure with the examples of the three sampling methods is very informative, but is lacking a caption that will:

1. Relate the three sub-figures to the three methods.

2. Explain what's seen in the third sub-figure (the bold lines are the divisions to sub-spaces, etc.)

08:29, 30 January 2014 (UTC) — Preceding unsigned comment added by 134.191.232.68 ( talk)

Hey Guys,

I'm trying to handle this, but when I draw a square (N = 2 variables) with M = 4 devisions, I get a total of 16 possible combinations. So why is the answer 24? I really don't get it... Help :( — Preceding unsigned comment added by 192.109.190.88 ( talk) 09:31, 22 August 2014 (UTC) reply

Try again. Start by selecting the upper left space of your 16-cell square. Since no row or column can be occupied by more than one selection, the remaining spaces in the top row and left column are not available for the moment. You'll now see there are 6 different LS possibilities by selecting all different combinations from the remaining 3x3 grid. Then move that first selected space to the second space in the top row, and you'll get another 6 unique possibilities. 6 more for starting with the 3rd space across the top, and 6 more for the 4th space. 6 x 4 = 24. — Preceding unsigned comment added by Tdbarr ( talk • contribs) 20:16, 25 March 2015 (UTC) reply