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Profil für Scott Harlan > Rezensionen

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Beiträge von Scott Harlan
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Rezensionen verfasst von
Scott Harlan "Datamining Xerxes" (Langley, VA)

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Cryptonomicon
Cryptonomicon
von Neal Stephenson
  Gebundene Ausgabe

1 von 1 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Completely engrossing, not quite sci-fi, 16. Juli 1999
Rezension bezieht sich auf: Cryptonomicon (Gebundene Ausgabe)
This book was a great pleasure, especially for a beach vacation, when I could read 6 hours a day and not feel guilty or sleep deprived. It was often very hard to put down. I found myself admiring the characters of the WWII era more than their modern counterparts for some reason. They were more ernest and less cynical, what they were doing REALLY counted for them.
The Marine Bobby Shaftoe was most memorable.
The humor, very similar to Thomas Pynchon's, was outrageous, and left me laughing out loud in two or three dozen different places. Stylistically, the book owes a genuine debt to Gravity's Rainbow.
There was nothing fictive about the abundant science, philosophy, or the mathematics. Clearly Stephenson did a great deal of in-depth research on the historicity and the Asian locals, both of which I appreciated.
It will not win a Nobel prize; but This is a fine piece of excellent writing and wit that offers a certain reader many hours of leisure time enjoyment and contemplation.


Sampling (Wiley Series in Probability and Statistics)
Sampling (Wiley Series in Probability and Statistics)
von Steven K. Thompson
  Gebundene Ausgabe

4.0 von 5 Sternen Thompson treats the details of sampling theory best, 10. Januar 1999
In the last 5 years or so, as a practioner, I have examined and used, or tried to use, 5 or 6 current texts on modern Sampling theory and practice. Steve Thompson's has been the most consistently useful. He offers more than the conventional wisdom, more than the standard technique. He describes alternative and special methods. when they are best used and how, complete with pros and cons. His generally clear explanations go beyond the usual mathematical formalism to the practical aspects.
For applied folks such as myself, this is really critical. You do not need to be a professional mathematician to make good use of this volume.
In particular, I have made good use of the Thompson's approach to double sampling technique in my own work sampling from the Net, a field loaded with methodological pitfalls.
If you are seriously concerned with generating valid samples in practical applications, Thompson will become a trusted friend.


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