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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… Altro …
ISBN: 9781461405740
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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
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Informazioni dettagliate del libro - Regression Analysis Under A Priori Parameter Restrictions
EAN (ISBN-13): 9781461405740
ISBN (ISBN-10): 1461405742
Anno di pubblicazione: 2011
Editore: Springer-Verlag GmbH
233 Pagine
Lingua: eng/Englisch
Libro nella banca dati dal 2012-10-09T16:05:49+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-11-16T13:28:33+01:00 (Zurich)
ISBN/EAN: 9781461405740
ISBN - Stili di scrittura alternativi:
1-4614-0574-2, 978-1-4614-0574-0
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : pavel, knop, arnold, allen
Titolo del libro: prior, analysis
Dati dell'editore
Autore: Pavel S. Knopov; Arnold S. Korkhin
Titolo: Springer Optimization and Its Applications; Regression Analysis Under A Priori Parameter Restrictions
Editore: Springer; Springer US
234 Pagine
Anno di pubblicazione: 2011-09-28
New York; NY; US
Stampato / Fatto in
Lingua: Inglese
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 and Stochastic Processes; Operations Research, Management Science; Statistical Theory and Methods; Probability Theory; Mathematics and Statistics; Wahrscheinlichkeitsrechnung und Statistik; Stochastik; BB
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 estimated under inequality constraints. The authors’ approach lends itself to numerous applications in various practical problems, several of which are discussed in detail.Altri libri che potrebbero essere simili a questo:
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