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Statistical Computing in C++ and R - Randall L. Eubank

Statistical Computing in C++ and R

By: Randall L. Eubank, Ana Kupresanin

eText | 1 December 2011 | Edition Number 1

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Parallel processing can be ideally suited for the solving of more complex problems in statistical computing. This book discusses code development in C and R, before going beyond to look at the valuable use of these two languages in unison. It covers linear equation solution with regression and linear models motivation, optimization with maximum likelihood and nonlinear least squares motivation, and random number generation. While the text does require a working knowledge of basic concepts in statistics and experience in programming, it does not require knowledge specific to C or R.
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Non-FictionMathematicsProbability & StatisticsComputing & I.T.Computer Science

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