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Author: Pavel S. Knopov Publisher: Springer Science & Business Media ISBN: 1461405742 Category : Business & Economics Languages : en Pages : 245
Book Description
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
Author: Pavel S. Knopov Publisher: Springer Science & Business Media ISBN: 1461405742 Category : Business & Economics Languages : en Pages : 245
Book Description
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
Author: Society for Industrial and Applied Mathematics Publisher: ISBN: Category : Electronic journals Languages : en Pages : 888
Book Description
Articles include expository or survey papers focusing on important advances in applied or computational mathematics, or papers outlining the mathematical and computational challenges in scientific or engineering applications. Other features include essays, book reviews, classroom and industrial notes, and problems and solutions.
Author: Wolfgang Karl Härdle Publisher: Springer Science & Business Media ISBN: 364217146X Category : Mathematics Languages : en Pages : 317
Book Description
The statistical and mathematical principles of smoothing with a focus on applicable techniques are presented in this book. It naturally splits into two parts: The first part is intended for undergraduate students majoring in mathematics, statistics, econometrics or biometrics whereas the second part is intended to be used by master and PhD students or researchers. The material is easy to accomplish since the e-book character of the text gives a maximum of flexibility in learning (and teaching) intensity.
Author: George G. Judge Publisher: John Wiley & Sons ISBN: 047189530X Category : Business & Economics Languages : en Pages : 1062
Book Description
This broadly based graduate-level textbook covers the major models and statistical tools currently used in the practice of econometrics. It examines the classical, the decision theory, and the Bayesian approaches, and contains material on single equation and simultaneous equation econometric models. Includes an extensive reference list for each topic.
Author: Pavel S. Knopov
Author: Pavel S. Knopov
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Author: Andrej Pázman
Author: Society for Industrial and Applied Mathematics
Author: Wolfgang Karl Härdle
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Author: George G. Judge
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