| 書目名稱 | Regression Analysis Under A Priori Parameter Restrictions |
| 編輯 | Pavel S. Knopov,Arnold S. Korkhin |
| 視頻video | http://file.papertrans.cn/826/825509/825509.mp4 |
| 概述 | 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 ap |
| 叢書名稱 | Springer Optimization and Its Applications |
| 圖書封面 |  |
| 描述 | 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 informationThe 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 detailThe 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 |
| 出版日期 | Book 2012 |
| 關鍵詞 | Computational Modeling; Inequality Restrictions; Predictive Regression; Statistical Regression |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-0574-0 |
| isbn_softcover | 978-1-4614-2955-5 |
| isbn_ebook | 978-1-4614-0574-0Series ISSN 1931-6828 Series E-ISSN 1931-6836 |
| issn_series | 1931-6828 |
| copyright | Springer Science+Business Media 2012 |
|Archiver|手機版|小黑屋|
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