What would be a good book on probability and statistics that's a step
beyond, but maybe not two steps beyond, the likes of Bevington, Lyons, or
Hogg & Ledolter? Something that pays attention to applications in
physical science and engineering, but doesn't need to restrict attention
to those themes. I'm more interested in things like meta-analysis,
reputedly a method of combining the results of different experiments.
And learning about some of the mysterious options I see in the software
like confidence intervals and prediction bands, whatever they are.
I'm not so interested in learning to do what the software I have already
does, but I'd like to at least know what it all means, and find new ways
to use the software.
--
"When the fool walks through the street, in his lack of understanding he
calls everything foolish." -- Ecclesiastes 10:3, New American Bible
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