Buch, Englisch, 316 Seiten, Format (B × H): 152 mm x 226 mm, Gewicht: 431 g
Buch, Englisch, 316 Seiten, Format (B × H): 152 mm x 226 mm, Gewicht: 431 g
Reihe: Statistics: A Series of Textbooks and Monographs
ISBN: 978-0-367-45116-5
Verlag: Taylor & Francis Ltd (Sales)
Complete with valuable FORTRAN programs that help solve nondifferentiable nonlinear LtandLo.-norm estimation problems, this important reference/text extensively delineates ahistory of Lp-norm estimation. It examines the nonlinear Lp-norm estimation problem that isa viable alternative to least squares estimation problems where the underlying errordistribution is nonnormal, i.e., non-Gaussian.Nonlinear LrNorm Estimation addresses both computational and statistical aspects ofLp-norm estimation problems to bridge the gap between these two fields. contains 70useful illustrations. discusses linear Lp-norm as well as nonlinear Lt, Lo., and Lp-normestimation problems. provides all appropriate computational algorithms and FORTRANlistings for nonlinear Lt- and Lo.-norm estimation problems. guides readers with clear endof-chapter notes on related topics and outstanding research publications. contains numericalexamples plus several practical problems. and shows how the data can prescribe variousapplications of Lp-norm alternatives.Nonlinear Lp-Norm Estimation is an indispensable reference for statisticians,operations researchers, numerical analysts, applied mathematicians, biometricians, andcomputer scientists, as well as a text for graduate students in statistics or computer science.
Zielgruppe
Professional Practice & Development
Autoren/Hrsg.
Weitere Infos & Material
1. Lp-Norm Estimation in Linear Regression 2. The Nonlinear L1-Norm Estimation Problem 3. The Nonlinear L8-Norm Estimation Problem 4. The Nonlinear Lp-Norm Estimation Problem 5. Statistical Aspects of Lp-Norm Estimators 6. Application of Lp-Norm Estimation
