2011, ISBN: 1461405734
[EAN: 9781461405733], Neubuch, [PU: Springer New York Sep 2011], OPERATIONS RESEARCH; UNTERNEHMENSFORSCHUNG; STATISTIK; WAHRSCHEINLICHKEIT - WAHRSCHEINLICHKEITSTHEORIE; COMPUTATIONALMODEL… More...
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2011, ISBN: 1461405734
[EAN: 9781461405733], Neubuch, [SC: 0.0], [PU: Springer New York], OPERATIONS RESEARCH; UNTERNEHMENSFORSCHUNG; STATISTIK; WAHRSCHEINLICHKEIT - WAHRSCHEINLICHKEITSTHEORIE; COMPUTATIONALMOD… More...
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2011, ISBN: 9781461405733
[ED: Hardcover], [PU: Springer / Springer New York / Springer, Berlin], This monograph focuses on the construction of regression models with linear and non-linear constrain inequalities f… More...
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2011, ISBN: 1461405734
[EAN: 9781461405733], [PU: New York, Springer.], 235 mm x 155 mm. XIV, 282 S., 4 schw.-w. Ill. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen… More...
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2011, ISBN: 1461405734
[EAN: 9781461405733], Gebraucht, guter Zustand, [PU: Springer US], COMPUTATIONAL MODELING,INEQUALITY RESTRICTIONS,PREDICTIVE REGRESSION,STATISTICAL REGRESSION,, Neubindung, Ausgabe 2012 1… More...
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2011, ISBN: 1461405734
[EAN: 9781461405733], Neubuch, [PU: Springer New York Sep 2011], OPERATIONS RESEARCH; UNTERNEHMENSFORSCHUNG; STATISTIK; WAHRSCHEINLICHKEIT - WAHRSCHEINLICHKEITSTHEORIE; COMPUTATIONALMODEL… More...
2011, ISBN: 1461405734
[EAN: 9781461405733], Neubuch, [SC: 0.0], [PU: Springer New York], OPERATIONS RESEARCH; UNTERNEHMENSFORSCHUNG; STATISTIK; WAHRSCHEINLICHKEIT - WAHRSCHEINLICHKEITSTHEORIE; COMPUTATIONALMOD… More...
2011
ISBN: 9781461405733
[ED: Hardcover], [PU: Springer / Springer New York / Springer, Berlin], This monograph focuses on the construction of regression models with linear and non-linear constrain inequalities f… More...
2011, ISBN: 1461405734
[EAN: 9781461405733], [PU: New York, Springer.], 235 mm x 155 mm. XIV, 282 S., 4 schw.-w. Ill. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen… More...
2011, ISBN: 1461405734
[EAN: 9781461405733], Gebraucht, guter Zustand, [PU: Springer US], COMPUTATIONAL MODELING,INEQUALITY RESTRICTIONS,PREDICTIVE REGRESSION,STATISTICAL REGRESSION,, Neubindung, Ausgabe 2012 1… More...
Bibliographic data of the best matching book
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Details of the book - Regression Analysis Under A Priori Parameter Restrictions (Springer Optimization and Its Applications, 54, Band 54)
EAN (ISBN-13): 9781461405733
ISBN (ISBN-10): 1461405734
Hardcover
Publishing year: 2011
Publisher: Springer
233 Pages
Weight: 0,553 kg
Language: Englisch
Book in our database since 2009-04-01T05:10:55+01:00 (London)
Detail page last modified on 2023-10-07T15:11:35+01:00 (London)
ISBN/EAN: 9781461405733
ISBN - alternate spelling:
1-4614-0573-4, 978-1-4614-0573-3
Alternate spelling and related search-keywords:
Book author: pavel pavel, knop, arnold
Book title: regression, 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: 2011-09-27
New York; NY; US
Printed / Made in
Language: English
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XIV, 234 p.
BB; Hardcover, Softcover / Mathematik/Sonstiges; Unternehmensforschung; Verstehen; Computational Modeling; Inequality Restrictions; Predictive Regression; Statistical Regression; Operations Research, Management Science; Statistical Theory and Methods; Probability Theory; 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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