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ISBN: 1461405742
Regression Analysis Under A Priori Parameter Restrictions ab 106.99 € als pdf eBook: . Aus dem Bereich: eBooks, Wirtschaft, Medien > Bücher, Regression Analysis Under A Priori Parameter R… More...
ISBN: 9781461405740
This monograph focuses on the construction of regression models with linear and non-linear constrain inequalities from the theoretical point of view. In includes analysis of the propertie… More...
ISBN: 9781461405740
*Regression Analysis Under A Priori Parameter Restrictions* / pdf eBook für 96.49 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik Medien > Bücher nein eBook als pdf eBo… More...
ISBN: 9781461405740
Regression Analysis Under A Priori Parameter Restrictions: ab 96.49 € eBooks > Fachthemen & Wissenschaft > Mathematik Springer-Verlag GmbH eBook als pdf, Springer-Verlag GmbH
2011, ISBN: 9781461405740
eBooks, eBook Download (PDF), 2012, [PU: Springer New York], Springer New York, 2011
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Details of the book - Regression Analysis Under A Priori Parameter Restrictions
EAN (ISBN-13): 9781461405740
ISBN (ISBN-10): 1461405742
Publishing year: 2011
Publisher: Springer-Verlag GmbH
233 Pages
Language: eng/Englisch
Book in our database since 2012-10-09T15:05:49+01:00 (London)
Detail page last modified on 2023-11-16T12:28:33+00:00 (London)
ISBN/EAN: 9781461405740
ISBN - alternate spelling:
1-4614-0574-2, 978-1-4614-0574-0
Alternate spelling and related search-keywords:
Book author: pavel, knop, arnold, allen
Book title: prior, analysis
Information from Publisher
Author: Pavel S. Knopov; Arnold S. Korkhin
Title: Springer Optimization and Its Applications; Regression Analysis Under A Priori Parameter Restrictions
Publisher: Springer; Springer US
234 Pages
Publishing year: 2011-09-28
New York; NY; US
Language: English
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XIV, 234 p.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Sonstiges; Unternehmensforschung; Verstehen; Computational Modeling; Inequality Restrictions; Predictive Regression; Statistical Regression; B; Operations Research, Management Science; Statistical Theory and Methods; Probability Theory; Mathematics and Statistics; Wahrscheinlichkeitsrechnung und Statistik; Stochastik; BC
Problems are described and studied in a clear, precise, and rigorous method and include: calculation of estimates for regression parameters, determination of their asymptotic properties and accuracy of estimation, point and interval prediction by the regression, parameters of which are estimatedunder inequality constraints. The authors’ approach lends itself to numerous applications in various practical problems, several of which are discussed in detail.Presents four central topics in stochastic optimization: calculation of parameter estimates, the asymptotic theory of estimates, estimation theory for small samples, and prediction theory Describes applications to practical problems from various areas of study including econometrics, clinical medicine, and several other experimental sciences Considers the problems of prediction by means of linear regression in the context of small samples
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