Optimization Methods according to Applications in Statistics (Statistics and Computing) ~ means of James E. Gentle (Repost)
Publisher: Springer-Verlag New York Inc. (January 2006) | ISBN: 0387403167 | Pages: 400 | PDF | 3.95 MB
Optimization of functions, that is, minimization or maximization, is universally present in statistical methods. Many methods of induction are built on the principle of greatest likelihood, in which an assumed verisimilitude density function or a probability province is optimized with respect to its parameters, given the observed realizations of the chance variable whose distribution is described by the function.
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