Nonlinear Lp-Norm Estimation PDF Download
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Author: Rene Gonin
Publisher: Routledge
ISBN: 1351428187
Category : Mathematics
Languages : en
Pages : 317
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Book Description
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.
Author: Rene Gonin
Publisher: Routledge
ISBN: 1351428187
Category : Mathematics
Languages : en
Pages : 317
Get Book Here
Book Description
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.
Author: A. Clifford Cohen
Publisher: CRC Press
ISBN: 1482277034
Category : Mathematics
Languages : en
Pages : 328
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Book Description
This book deals with the development of methodology for the analysis of truncated and censored sample data. It is primarily intended as a handbook for practitioners who need simple and efficient methods for the analysis of incomplete sample data.
Author: Ghosh
Publisher: CRC Press
ISBN: 9780824782511
Category : Mathematics
Languages : en
Pages : 562
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Book Description
Author: Kenneth D. Lawrence
Publisher: Routledge
ISBN: 1351418270
Category : Mathematics
Languages : en
Pages : 320
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Book Description
Robust Regression: Analysis and Applications characterizes robust estimators in terms of how much they weight each observation discusses generalized properties of Lp-estimators. Includes an algorithm for identifying outliers using least absolute value criterion in regression modeling reviews redescending M-estimators studies Li linear regression proposes the best linear unbiased estimators for fixed parameters and random errors in the mixed linear model summarizes known properties of Li estimators for time series analysis examines ordinary least squares, latent root regression, and a robust regression weighting scheme and evaluates results from five different robust ridge regression estimators.
Author: Robert E. Odeh
Publisher: CRC Press
ISBN: 1000104710
Category : Mathematics
Languages : en
Pages : 215
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Book Description
A guide to testing statistical hypotheses for readers familiar with the Neyman-Pearson theory of hypothesis testing including the notion of power, the general linear hypothesis (multiple regression) problem, and the special case of analysis of variance. The second edition (date of first not mentione
Author: Gunar E. Liepins
Publisher: CRC Press
ISBN: 9780824783549
Category : Mathematics
Languages : en
Pages : 386
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Book Description
Contains 16 papers that emerged from the Survey Data Quality Control Workshop in Oak Ridge, Tennessee, April 1988. The volume is based on two premises: many useful data quality control practices have gone undocumented, and would benefit the quality control community; and better interaction among the
Author: R.Russell Rhinehart
Publisher: Routledge
ISBN: 1351466097
Category : Mathematics
Languages : en
Pages : 444
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Book Description
Originally published in 1991. Textbook on the understanding and application of statistical procedures to engineering problems, for practicing engineers who once had an introductory course in statistics, but haven't used the techniques in a long time.
Author: Eugene K. Harris
Publisher: CRC Press
ISBN: 1040294030
Category : Mathematics
Languages : en
Pages : 223
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Book Description
This unique reference/text provides an understanding of nonparametric and quasi parametric (regression) methods to analyze survivorship data in clinical studies emphasizing the interpretation and reasoning behind these methods. Written for clinicians, as well as biostatisticians, Survivorship Analysis for Clinical Studies justifies each new methodology presented and clarifies its relationship to preceding material. It describes and explains established methods for summarizing the results of the majority of single-clinic survivorship studies, comparing two or more survival processes, and examining the effects of covariates on survival. Including a diskette containing programs for computing confidence bands for survival curves, this book serves as a timely reference for biostatisticians, clinicians engaged in clinical trials, pharmacologists involved in new drug testing, epidemiologists, and biomedical engineers, and as a superb text for upper-level undergraduate and graduate students, as well as participants in professional seminars on survivorship data analysis in clinical settings.
Author: Lee Bain
Publisher: Routledge
ISBN: 135141464X
Category : Mathematics
Languages : en
Pages : 518
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Book Description
Textbook for a methods course or reference for an experimenter who is mainly interested in data analyses rather than in the mathematical development of the procedures. Provides the most useful statistical techniques, not only for the normal distribution, but for other important distributions, such a
Author: Wai-Yuan Tan
Publisher: CRC Press
ISBN: 1000723461
Category : Mathematics
Languages : en
Pages : 280
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Book Description
An up-to-date survey of mathematical models of carcinogenesis, providing the most recent findings of cancer biology as evidence of the models, as well as extensive bibliographies of cancer biology and in-depth mathematical analyses for each of the models. May be used as a reference for biostaticians, biometricians, mathematical and molecular biologists, applied mathematicians, oncologists, cancer and toxicology researchers, environmental scientists, and graduate students in these fields.
