Abstract
In the recent past interaction between mathematical programming and statistical problems has grown considerably. Optimization with multi objective functions and global optimization have also found use in solving statistical problems arising in various fields. Especially in the field of Quality Engineering and On-line Process Control, due to the innovative approaches of Genichi Taguchi [16] some problems have been identified and solved using optimization methods. Since the publication of MATHEMATICAL PROGRAMMING IN STATISTICS [2] there has been a large number of books and paper written, which bring out the connections between Statistical Methods and Optimization.
All statistical procedures are, in the ultimate analysis, solutions, to suitably optimization problems
— C.R. Rao
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© 1990 Physica-Verlag Heidelberg
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Arthanari, T.S. (1990). Optimization in Statistics — Recent Trends. In: Momirović, K., Mildner, V. (eds) Compstat. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-50096-1_27
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DOI: https://doi.org/10.1007/978-3-642-50096-1_27
Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-7908-0475-1
Online ISBN: 978-3-642-50096-1
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