[PDF.88eq] Symbolic Computation for Statistical Inference (Oxford Statistical Science Series)
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Symbolic Computation for Statistical Inference (Oxford Statistical Science Series)
D. F. Andrews, J. E. Stafford
[PDF.gq49] Symbolic Computation for Statistical Inference (Oxford Statistical Science Series)
Symbolic Computation for Statistical D. F. Andrews, J. E. Stafford epub Symbolic Computation for Statistical D. F. Andrews, J. E. Stafford pdf download Symbolic Computation for Statistical D. F. Andrews, J. E. Stafford pdf file Symbolic Computation for Statistical D. F. Andrews, J. E. Stafford audiobook Symbolic Computation for Statistical D. F. Andrews, J. E. Stafford book review Symbolic Computation for Statistical D. F. Andrews, J. E. Stafford summary
| #2449424 in Books | 2000-08-24 | Original language:English | PDF # 1 | 9.10 x.60 x6.00l,.92 | File type: PDF | 176 pages||24 of 24 people found the following review helpful.| good text on use of mathematical languages in stats|By Michael R. Chernick|When I was a graduate student at Stanford I labored with tedious algebraic computations while trying to prove limit theorems for maxima of stationary sequences. Often it would be very frustrating as I would spend hours checking calculations only to repeatedly make minor mistakes that would cause result|About the Author|D. F. Andrews is at University of Toronto. J. E. Stafford is at University of Toronto.
Over recent years, developments in statistical computing have freed statisticians from the burden of calculation and have made possible new methods of analysis that previously would have been too difficult or time-consuming. Up till now these developments have been primarily in numerical computation and graphical display, but equal steps forward are now being made in the area of symbolic computing: the use of computer languages and procedures to manipulate ex...
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