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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.
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.
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