EpiMath

13 ms·

1. 31.▲
   by EpiMath 12y ago

   Also from Stanford, from longer ago... The Fourier Transform and its Applications by Bracewell. McGraw-Hill. Extremely well written with great examples and some fascinating problems. I highly recommend it. Discrete transforms are a bit
2. 32.▲
   by EpiMath 13y ago

   If you are responding to my comment, I agree with you. I like the R language very much and use it. I may not have said what I meant well enough. What I mean is that there is a tendency with R programmers and much more so with SAS or Stat
3. 33.▲
   by EpiMath 13y ago

   I've spent my career thinking about these same issues. And certainly Fisher was, well, abrasive to put it mildly. I've read much of his early work and I think the intended context has mostly been lost. Many modern statisticians
4. 34.▲
   by EpiMath 13y ago

   Interesting, thanks. ( Like your username too, despite him being slightly denigrated in the linked article. ) I personally think that it is good to have a basic grounding in some kind of fundamental "real" programming language b
5. 35.▲
   by EpiMath 13y ago

   I've just spent the last hour or so at this site ( found via reddit/math ) and it is pretty amazing. Well worth a look! Also the link at the end to mathics was new to me and looks interesting.
6. 36.▲
   by EpiMath 13y ago

   Epidemiologist here. Many studies account for it and we are acutely aware of this problem and have some sophisticated methods for dealing with unmeasured propensities. And randomized trial are "epidemiologic" studies too. Not e