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 statisticiansoperations researchers numerical analysts applied mathematicians biometricians andcomputer scientists as well as a text for graduate students in statistics or computer science. Language: English