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| # |
Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Grigoriu, Mircea D |
Linear Dynamical Systems |
I11716 |
2021 |
eBook |
|
| 2 |
Pavel S. Knopov |
Regression analysis under a priori parameter restrictions |
024786 |
2012 |
Book |
|
| 3 |
J. Hine |
Programmed text in statistics: Book 4: Text on variance and regression |
007993 |
1975 |
Book |
|
| 4 |
Stanton A. Glantz |
Primer of applied regression and analysis of variance |
004266 |
1990 |
Book |
|
| 5 |
David R. Ratkowsky |
Handbook of nonlinear regression models |
002885 |
1990 |
Book |
|
| 6 |
Wittink, Dick R. |
Application of regression analysis |
000278 |
1988 |
Book |
|
| 7 |
A.C. Atkinson |
Plots, transformations, and regression: Introduction to graphical methods of diagnostic regression analysis |
000146 |
1985 |
Book |
|
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1.
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| Title | Linear Dynamical Systems |
| Author(s) | Grigoriu, Mircea D |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | IX, 153 p. 40 illus., 24 illus. in color : online resource |
| Abstract Note | This textbook provides a concise, clear, and rigorous presentation of the dynamics of linear systems that delivers the necessary tools for the analysis and design of mechanical/ structural systems, regardless of their complexity. The book is written for senior undergraduate and first year graduate students as well as engineers working on the design of mechanical/structural systems subjected to dynamic actions, such as wind/earthquake engineers and mechanical engineers working on wind turbines. Professor Grigoriu's lucid presentation maximizes student understanding of the formulation and the solution of linear systems subjected to dynamic actions, and provides a clear distinction between problems of practical interest and their special cases. Based on the author's lecture notes from courses taught at Cornell University, the material is class-tested over many years and ideal as a core text for a range of classes in mechanical, civil, and geotechnical engineering, as well as for self-directed learning by practitioners in the field. Follows a coherent introduction of topics from the physics, constitutive equations, and general formulations and solutions of problems of practical interest through special cases of these problems obtained by specializing general results Adopts a top-down approach enabling a compact book that covers all relevant topics on the dynamics of linear systems, where special cases of problems of practical interest cannot be interpreted as new problems which require different solutions Reinforces readers' grasp of theoretical considerations with numerical illustrations Includes less familiar mathematical tools used in some derivations in appendices Treats solution of finite dimensional/continuous systems as elements of the vector spaces spanned by the eigenvectors/eigenfunctions corresponding to the system mechanical properties |
| ISBN,Price | 9783030645526 |
| Keyword(s) | 1. Applied Dynamical Systems
2. CONTINUUM MECHANICS
3. DYNAMICAL SYSTEMS
4. DYNAMICS
5. EBOOK
6. EBOOK - SPRINGER
7. ENGINEERING MECHANICS
8. Linear Models and Regression
9. Mechanics, Applied
10. NONLINEAR THEORIES
11. REGRESSION ANALYSIS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11716 |
|
|
On Shelf |
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2.
 |
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| Title | Regression analysis under a priori parameter restrictions |
| Author(s) | Pavel S. Knopov ;Arnold S. Korkhin |
| Publication | New York, Springer, 2012. |
| Description | xiii, 234p. |
| Series | (Springer Optimization and Its Applications) |
| Abstract Note | 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 |
| ISBN,Price | 9781461461405740 : Euro 79.95(HB) |
| Classification | 519.233.5
|
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. REGRESSION ANALYSIS
|
| Item Type | Book |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| 024786 |
|
519.233.5/KNO/024786 |
On Shelf |
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| I12134 |
|
519.233.5/KNO/ |
On Shelf |
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+Copy Specific Information | |