Optimal and Robust Estimation on the Sphere - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimal and Robust Estimation on the Sphere write by G. S. Watson. This book was released on 1983. Optimal and Robust Estimation on the Sphere available in PDF, EPUB and Kindle.
Optimal and Robust Estimation
Optimal and Robust Estimation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimal and Robust Estimation write by Frank L. Lewis. This book was released on 2017-12-19. Optimal and Robust Estimation available in PDF, EPUB and Kindle. More than a decade ago, world-renowned control systems authority Frank L. Lewis introduced what would become a standard textbook on estimation, under the title Optimal Estimation, used in top universities throughout the world. The time has come for a new edition of this classic text, and Lewis enlisted the aid of two accomplished experts to bring the book completely up to date with the estimation methods driving today's high-performance systems. A Classic Revisited Optimal and Robust Estimation: With an Introduction to Stochastic Control Theory, Second Edition reflects new developments in estimation theory and design techniques. As the title suggests, the major feature of this edition is the inclusion of robust methods. Three new chapters cover the robust Kalman filter, H-infinity filtering, and H-infinity filtering of discrete-time systems. Modern Tools for Tomorrow's Engineers This text overflows with examples that highlight practical applications of the theory and concepts. Design algorithms appear conveniently in tables, allowing students quick reference, easy implementation into software, and intuitive comparisons for selecting the best algorithm for a given application. In addition, downloadable MATLAB® code allows students to gain hands-on experience with industry-standard software tools for a wide variety of applications. This cutting-edge and highly interactive text makes teaching, and learning, estimation methods easier and more modern than ever.
Robust Statistics
Robust Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Robust Statistics write by Frank R. Hampel. This book was released on 2011-09-20. Robust Statistics available in PDF, EPUB and Kindle. The Wiley-Interscience Paperback Series consists of selectedbooks that have been made more accessible to consumers in an effortto increase global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists. "This is a nice book containing a wealth of information, much ofit due to the authors. . . . If an instructor designing such acourse wanted a textbook, this book would be the best choiceavailable. . . . There are many stimulating exercises, and the bookalso contains an excellent index and an extensive list ofreferences." —Technometrics "[This] book should be read carefully by anyone who isinterested in dealing with statistical models in a realisticfashion." —American Scientist Introducing concepts, theory, and applications, RobustStatistics is accessible to a broad audience, avoidingallusions to high-powered mathematics while emphasizing ideas,heuristics, and background. The text covers the approach based onthe influence function (the effect of an outlier on an estimater,for example) and related notions such as the breakdown point. Italso treats the change-of-variance function, fundamental conceptsand results in the framework of estimation of a single parameter,and applications to estimation of covariance matrices andregression parameters.
Robust Regression and Outlier Detection
Robust Regression and Outlier Detection - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Robust Regression and Outlier Detection write by Peter J. Rousseeuw. This book was released on 2005-02-25. Robust Regression and Outlier Detection available in PDF, EPUB and Kindle. WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selectedbooks that have been made more accessible to consumers in an effortto increase global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists. "The writing style is clear and informal, and much of thediscussion is oriented to application. In short, the book is akeeper." –Mathematical Geology "I would highly recommend the addition of this book to thelibraries of both students and professionals. It is a usefultextbook for the graduate student, because it emphasizes both thephilosophy and practice of robustness in regression settings, andit provides excellent examples of precise, logical proofs oftheorems. . . .Even for those who are familiar with robustness, thebook will be a good reference because it consolidates the researchin high-breakdown affine equivariant estimators and includes anextensive bibliography in robust regression, outlier diagnostics,and related methods. The aim of this book, the authors tell us, is‘to make robust regression available for everyday statisticalpractice.’ Rousseeuw and Leroy have included all of thenecessary ingredients to make this happen." –Journal of the American Statistical Association
Optimal Estimation from Data Regularly Sampled on a Sphere with Applications in Geodesy
Optimal Estimation from Data Regularly Sampled on a Sphere with Applications in Geodesy - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimal Estimation from Data Regularly Sampled on a Sphere with Applications in Geodesy write by Oscar L. Colombo. This book was released on 1979. Optimal Estimation from Data Regularly Sampled on a Sphere with Applications in Geodesy available in PDF, EPUB and Kindle. The size of the variance-covariance matrix of the data, used to obtain minimum variance estimators for collocation, is as large as the number of observations in the data set. For some arrangements of the data, such as the usual 'equal angle' (or 'regular') grid, the matrix presents a very strong Toeplitz-circulant structure that can be exploited to reduce computing in setting-up and inverting the matrix. This reduction can be quite drastic. This report discusses such structure and presents an algorithm for implementing collocation efficiently. Three applications are considered: (a) the spherical harmonic analysis of point data; (b) the same analysis using area means; (c) the estimate of the disturbing potential from gravity anomalies. The harmonic analysis is optimal for noisy data as well; with noiseless data it provides harmonic coefficients with minimum aliasing. (Author).
