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.
General
Imprint: |
Crc Press
|
Country of origin: |
United Kingdom |
Series: |
Statistics: A Series of Textbooks and Monographs |
Release date: |
December 2020 |
First published: |
1989 |
Authors: |
Rene Gonin
|
Dimensions: |
229 x 152mm (L x W) |
Format: |
Paperback
|
Pages: |
320 |
ISBN-13: |
978-0-367-45116-5 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
|
LSN: |
0-367-45116-6 |
Barcode: |
9780367451165 |
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