A01=Rene Gonin
Author_Rene Gonin
Bias Reduction Technique
Category=PBT
CES Production Function
Descent Search Direction
Dominant Singular Values
EDF Statistic
Elliptical Confidence Regions
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Gauss Newton Method
Gompertz Curve
Joint Confidence Region
Levenberg Marquardt Approach
Line Search Procedure
Lower Triangular Form
Open Convex Set
Ordinary Differential Equations
Symmetric Error Distributions
Trust Region Approach
Uniform Error Distribution
Unit Lower Triangular Matrix
Wald Test Statistic
Product details
- ISBN 9780367451165
- Weight: 453g
- Dimensions: 152 x 229mm
- Publication Date: 18 Dec 2020
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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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.
Gonin, Rene
