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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Regression Analysis Under a Priori Parameter Restrictions

Regression Analysis Under a Priori Parameter Restrictions

Knopov, Pavel S.
Korkhin, Arnold S.

Paperback

Series: Springer Optimization and Its Applications, Book 54

Business GeneralManagementProbability & Statistics

Currently unavailable to order

ISBN10: 1461429552
ISBN13: 9781461429555
Publisher: Springer
Published: Oct 24 2013
Pages: 234
Weight: 0.78
Height: 0.53 Width: 6.14 Depth: 9.21
Language: English
This monograph focuses on the construction of regression models with linear and non-linear constrain inequalities from the theoretical point of view. Unlike previous publications, this volume analyses the properties of regression with inequality constrains, investigating the flexibility of inequality constrains and their ability to adapt in the presence of additional a priori information The implementation of inequality constrains improves the accuracy of models, and decreases the likelihood of errors. Based on the obtained theoretical results, a computational technique for estimation and prognostication problems is suggested. This approach lends itself to numerous applications in various practical problems, several of which are discussed in detail The book is useful resource for graduate students, PhD students, as well as for researchers who specialize in applied statistics and optimization. This book may also be useful to specialists in other branches of applied mathematics, technology, econometrics and finance

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