Robust Adaptive Scheme For Linear Mixed Model
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Robust Adaptive Scheme For Linear Mixed Model
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Author : Gabriel Asare Okyere
language : en
Publisher:
Release Date : 2011
Robust Adaptive Scheme For Linear Mixed Model written by Gabriel Asare Okyere and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Mathematical statistics categories.
If the underlying distribution of a statistical model is known, then a procedure which maximizes power and efficiency can be selected. For example, if the distribution of errors is known to be normal in a linear model, then inference based on least squares maximizes power and efficiency. More generally, if this distribution is known, then a rank-based inference based on the appropriate rank score function has maximum efficiency. In practice, though, this distribution is not known. Adaptive schemes are procedures which hopefully select appropriate methods to optimize the analysis. Hogg (1974) presented an adaptive rank-based scheme for testing in the simple two-sample location model. It consists of a family of distribution free tests, each associated with a rank score function, and a selection procedure which chooses a test from this family. For continuous error distributions, Hogg's scheme is valid for testing; that is, it retains the level. This, however, is not true for estimation and fitting. Little has been done to extend Hogg's scheme beyond simple location problems. In this research we extend Hogg's adaptive scheme for testing to mixed models consisting of m clusters of observations. This is an important practical family of models, including, for example, repeated measure designs, multi-center clinical designs, and randomized block designs. Under the assumption of exchangeable errors, we establish that our testing scheme is valid. In practice, though, for these models fitting is crucial. Based on the fitting of a model, a residual analysis can be performed to check, say, quality of fit and to determine outliers. Further, standard errors of the estimates can then be obtained so that confidence intervals for contrasts of interests can readily be formed. With this in mind, we have also developed several adaptive fitting schemes for these models. These are based on several types of rank-based estimation procedures, including joint ranking and multiple ranking types of fitting. Our schemes are robust and higly efficient. A large Monte Carlo study over error distributions ranging from heavy-tailed to light-tailed distributions and from symmetric distributions to skewed distributions gives empirical credence to our adaptive procedures. We illustrate our procedures with several real clinical examples.
Nonparametric Statistical Methods Using R
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Author : John Kloke
language : en
Publisher: CRC Press
Release Date : 2014-10-09
Nonparametric Statistical Methods Using R written by John Kloke and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-09 with Mathematics categories.
A Practical Guide to Implementing Nonparametric and Rank-Based ProceduresNonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The a
Analysis And Synthesis Of Fault Tolerant Control Systems
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Author : Magdi S. Mahmoud
language : en
Publisher: John Wiley & Sons
Release Date : 2013-10-28
Analysis And Synthesis Of Fault Tolerant Control Systems written by Magdi S. Mahmoud and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-28 with Technology & Engineering categories.
In recent years, control systems have become more sophisticated in order to meet increased performance and safety requirements for modern technological systems. Engineers are becoming more aware that conventional feedback control design for a complex system may result in unsatisfactory performance, or even instability, in the event of malfunctions in actuators, sensors or other system components. In order to circumvent such weaknesses, new approaches to control system design have emerged which can tolerate component malfunctions while maintaining acceptable stability and performance. These types of control systems are often known as fault-tolerant control systems (FTCS). More precisely, FTCS are control systems which possess the ability to accommodate component failure automatically. Analysis and Synthesis of Fault-Tolerant Control Systems comprehensively covers the analysis and synthesis methods of fault tolerant control systems. It unifies the methods for developing controllers and filters for a wide class of dynamical systems and reports on the recent technical advances in design methodologies. MATLAB® is used throughout the book, to demonstrate methods of analysis and design. Key features: • Provides advanced theoretical methods and typical practical applications • Provides access to a spectrum of control design methods applied to industrial systems • Includes case studies and illustrative examples • Contains end-of-chapter problems Analysis and Synthesis of Fault-Tolerant Control Systems is a comprehensive reference for researchers and practitioners working in this area, and is also a valuable source of information for graduates and senior undergraduates in control, mechanical, aerospace, electrical and mechatronics engineering departments.
The Control Systems Handbook
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Author : William S. Levine
language : en
Publisher: CRC Press
Release Date : 2018-10-03
The Control Systems Handbook written by William S. Levine and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Technology & Engineering categories.
At publication, The Control Handbook immediately became the definitive resource that engineers working with modern control systems required. Among its many accolades, that first edition was cited by the AAP as the Best Engineering Handbook of 1996. Now, 15 years later, William Levine has once again compiled the most comprehensive and authoritative resource on control engineering. He has fully reorganized the text to reflect the technical advances achieved since the last edition and has expanded its contents to include the multidisciplinary perspective that is making control engineering a critical component in so many fields. Now expanded from one to three volumes, The Control Handbook, Second Edition organizes cutting-edge contributions from more than 200 leading experts. The third volume, Control System Advanced Methods, includes design and analysis methods for MIMO linear and LTI systems, Kalman filters and observers, hybrid systems, and nonlinear systems. It also covers advanced considerations regarding — Stability Adaptive controls System identification Stochastic control Control of distributed parameter systems Networks and networked controls As with the first edition, the new edition not only stands as a record of accomplishment in control engineering but provides researchers with the means to make further advances. Progressively organized, the first two volumes in the set include: Control System Fundamentals Control System Applications
New Perspectives And Applications Of Modern Control Theory
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Author : Julio B. Clempner
language : en
Publisher: Springer
Release Date : 2017-09-30
New Perspectives And Applications Of Modern Control Theory written by Julio B. Clempner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-30 with Technology & Engineering categories.
This edited monograph contains research contributions on a wide range of topics such as stochastic control systems, adaptive control, sliding mode control and parameter identification methods. The book also covers applications of robust and adaptice control to chemical and biotechnological systems. This collection of papers commemorates the 70th birthday of Dr. Alexander S. Poznyak.
European Control Conference 1995
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Author :
language : en
Publisher: European Control Association
Release Date : 1995-09-05
European Control Conference 1995 written by and has been published by European Control Association this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-09-05 with categories.
Proceedings of the European Control Conference 1995, Rome, Italy 5-8 September 1995
Robust Methods In Biostatistics
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Author : Stephane Heritier
language : en
Publisher: John Wiley & Sons
Release Date : 2009-05-11
Robust Methods In Biostatistics written by Stephane Heritier and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-11 with Medical categories.
Robust statistics is an extension of classical statistics that specifically takes into account the concept that the underlying models used to describe data are only approximate. Its basic philosophy is to produce statistical procedures which are stable when the data do not exactly match the postulated models as it is the case for example with outliers. Robust Methods in Biostatistics proposes robust alternatives to common methods used in statistics in general and in biostatistics in particular and illustrates their use on many biomedical datasets. The methods introduced include robust estimation, testing, model selection, model check and diagnostics. They are developed for the following general classes of models: Linear regression Generalized linear models Linear mixed models Marginal longitudinal data models Cox survival analysis model The methods are introduced both at a theoretical and applied level within the framework of each general class of models, with a particular emphasis put on practical data analysis. This book is of particular use for research students,applied statisticians and practitioners in the health field interested in more stable statistical techniques. An accompanying website provides R code for computing all of the methods described, as well as for analyzing all the datasets used in the book.
Adaptive Internal Model Control
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Author : Aniruddha Datta
language : en
Publisher: Springer
Release Date : 1998-09-25
Adaptive Internal Model Control written by Aniruddha Datta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-09-25 with Computers categories.
Written in a self-contained tutorial fashion, this monograph successfully brings the latest theoretical advances in the design of robust adaptive systems to the realm of industrial applications. It provides a theoretical basis for verifying some of the reported industrial successes of existing adaptive control schemes and enables readers to synthesize adaptive versions of their own robust internal model control schemes.
Robust Control Design 2003
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Author : Sergio Bittanti
language : en
Publisher: Elsevier Science & Technology
Release Date : 2004
Robust Control Design 2003 written by Sergio Bittanti and has been published by Elsevier Science & Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Science categories.
Fuzzy Control Estimation And Diagnosis
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Author : Magdi S. Mahmoud
language : en
Publisher: Springer
Release Date : 2017-06-15
Fuzzy Control Estimation And Diagnosis written by Magdi S. Mahmoud and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-15 with Technology & Engineering categories.
This textbook explains the principles of fuzzy systems in some depth together with information useful in realizing them within computational processes. The various algorithms and example problem solutions are a well-balanced and pertinent aid for research projects, laboratory work and graduate study. In addition to its worked examples, the book also uses end-of-chapter exercises as an instructional aid with a downloadable solutions manual available to instructors. The content of the book is developed and extended from material taught for four years in the author’s classes. The text provides a broad overview of fuzzy control, estimation and fault diagnosis. It ranges over various classes of target system and modes of control and then turns to filtering, stabilization, and fault detection and diagnosis. Applications, simulation tools and an appendix on algebraic inequalities complete a unified approach to the analysis of single and interconnected fuzzy systems. Fuzzy Control, Estimation and Fault Detection is a guide for final-year undergraduate and graduate students of electrical and mechanical engineering, computer science and information technology, and will also be instructive for professionals in the information technology sector.