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Author : Christine H. Müller
Publisher :
ISBN 13 :
Total Pages : 6 pages
Book Rating : 4.:/5 (832 download)
Download or read book Optimal Bias Bounds for Robust Estimation in Linear Models written by Christine H. Müller and published by . This book was released on 1993 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Tadeusz Calinski
Publisher : Springer Science & Business Media
ISBN 13 : 9401110042
Total Pages : 309 pages
Book Rating : 4.4/5 (11 download)
Download or read book Proceedings of the International Conference on Linear Statistical Inference LINSTAT ’93 written by Tadeusz Calinski and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Linear Statistical Inference LINSTAT'93 was held in Poznan, Poland, from May 31 to June 4, 1993. The purpose of the confer ence was to enable scientists, from various countries, engaged in the diverse areas of statistical sciences and practice to meet together and exchange views and re sults related to the current research on linear statistical inference in its broadest sense. Thus, the conference programme included sessions on estimation, prediction and testing in linear models, on robustness of some relevant statistical methods, on estimation of variance components appearing in linear models, on certain gen eralizations to nonlinear models, on design and analysis of experiments, including optimality and comparison of linear experiments, and on some other topics related to linear statistical inference. Within the various sessions 22 invited papers and 37 contributed papers were presented, 12 of them as posters. The conference gathered 94 participants from eighteen countries of Europe, North America and Asia. There were 53 participants from abroad and 41 from Poland. The conference was the second of this type, devoted to linear statistical inference. The first was held in Poznan in June, 4-8, 1984. Both belong to the series of confer ences on mathematical statistics and probability theory organized under the auspices of the Committee of Mathematics of the Polish Academy of Sciences, due to the ini tiative and efforts of its Mathematical Statistics Section. In the years 1973-1993 there were held in Poland nineteen such conferences, some of them international.
Author : Irini Moustaki
Publisher :
ISBN 13 :
Total Pages : 45 pages
Book Rating : 4.:/5 (853 download)
Download or read book Bounded-bias Robust Estimation in Generalized Linear Latent Variable Models written by Irini Moustaki and published by . This book was released on 2004 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Yadolah Dodge
Publisher : IMS
ISBN 13 : 9780940600430
Total Pages : 550 pages
Book Rating : 4.6/5 (4 download)
Download or read book L1-statistical Procedures and Related Topics written by Yadolah Dodge and published by IMS. This book was released on 1997 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Christine H. Mueller
Publisher : Springer Science & Business Media
ISBN 13 : 1461222966
Total Pages : 246 pages
Book Rating : 4.4/5 (612 download)
Download or read book Robust Planning and Analysis of Experiments written by Christine H. Mueller and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust statistics and the design of experiments are two of the fastest growing fields in contemporary statistics. Up to now, there has been very little overlap between these fields. This is the first book to link these two areas by studying the influence of the design on the efficiency and robustness of robust estimators and tests. The classical approaches of experimental design and robust statistics are introduced before the areas are linked, and the author shows that robust statistical procedures profit by an appropriate choice of the design and that efficient designs for a robust statistical analysis are more applicable.
Author : Rudolf Dutter
Publisher : Physica
ISBN 13 : 364252463X
Total Pages : 539 pages
Book Rating : 4.6/5 (425 download)
Download or read book Compstat written by Rudolf Dutter and published by Physica. This book was released on 2013-12-20 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book assembles papers which were presented at the biennial sympo sium in Computational Statistics held und er the a!uspices of the International Association for Statistical Computing (IASC), a section of ISI, the Interna tional Statistical Institute. This symposium named COMPSTAT '94 was organized by the Statistical Institutes of the University of Vienna and the University of Technology of Vienna, Austria. The series of COMPSTAT Symposia started 1974 in Vienna. Mean while they took place every other year in Berlin (Germany, 1976), Leiden (The Netherlands, 1978), Edinburgh (Great Britain, 1980), Toulouse (France, 1982), Prague (Czechoslovakia, 1984), Rom (Italy, 1986), Copenhagen (Den mark, 1988), Dubrovnik (Yugoslavia, 1990) and Neuchätel (Switzerland, 1992). This year we are celebrating the 20th anniversary in Vienna, Austria. It has obviously been observed a movement from "traditional" computa tional statistics with emphasis on methods which produce results quickly and reliably, to computationally intensive methods like resampling procedures, Bayesian methods, dynamic graphics, to very recent areas like neural net works, accentuation on spatial statistics, huge data sets, analysis strategies, etc. For the organization of the symposium, new guidelines worked out by the IASC in written form were in effect this time. The goal was to refresh somehow the spirit of the start of COMPSTAT '74, keep the tradition of the series and ensure a certain continuity in the sequence of biannual meetings.
Author : Ruidi Chen
Publisher :
ISBN 13 : 9781680837728
Total Pages : 258 pages
Book Rating : 4.8/5 (377 download)
Download or read book Distributionally Robust Learning written by Ruidi Chen and published by . This book was released on 2020-12-23 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : V. Kurotschka
Publisher :
ISBN 13 :
Total Pages : 25 pages
Book Rating : 4.:/5 (897 download)
Download or read book Optimum Robust Estimation of Linear Aspects in Conditionally Contaminated Linear Models written by V. Kurotschka and published by . This book was released on 1990 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 155 pages
Book Rating : 4.:/5 (661 download)
Download or read book Random Sample Consensus written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-04-30 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Random Sample Consensus Random sample consensus, also known as RANSAC, is an iterative method that is used to estimate the parameters of a mathematical model based on a collection of observed data that includes outliers. This method is used in situations where the outliers are permitted to have no impact on the values of the estimates. The conclusion is that it is also possible to view it as a tool for detecting outliers. An algorithm is considered to be non-deterministic if it is able to generate a suitable result only with a certain probability, and this likelihood increases as the number of iterations that are permitted via the method increases. In 1981, Fischler and Bolles, who were working at SRI International, were the ones who initially published the algorithm. In order to solve the Location Determination Problem (LDP), which is a problem in which the objective is to find the points in space that project onto an image and then convert those points into a set of landmarks with known positions, they utilized RANSAC. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Random sample consensus Chapter 2: Estimator Chapter 3: Least squares Chapter 4: Outlier Chapter 5: Cross-validation (statistics) Chapter 6: Errors and residuals Chapter 7: Mixture model Chapter 8: Robust statistics Chapter 9: Image stitching Chapter 10: Resampling (statistics) (II) Answering the public top questions about random sample consensus. (III) Real world examples for the usage of random sample consensus in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Random Sample Consensus.
Author : Viktor Kurotschka
Publisher :
ISBN 13 :
Total Pages : 25 pages
Book Rating : 4.:/5 (461 download)
Download or read book Optimum robust estimation of linear aspects in conditionally contaminated linear models written by Viktor Kurotschka and published by . This book was released on 1990 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Petr Mandl
Publisher : Springer Science & Business Media
ISBN 13 : 3642579841
Total Pages : 463 pages
Book Rating : 4.6/5 (425 download)
Download or read book Asymptotic Statistics written by Petr Mandl and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: In particular up-to-date-information is presented in detection of systematic changes, in series of observation, in robust regression analysis, in numerical empirical processes and in related areas of actuarial sciences.
Author : Jana Jureckova
Publisher : CRC Press
ISBN 13 : 1420035134
Total Pages : 210 pages
Book Rating : 4.4/5 (2 download)
Download or read book Robust Statistical Methods with R written by Jana Jureckova and published by CRC Press. This book was released on 2005-11-29 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust statistical methods were developed to supplement the classical procedures when the data violate classical assumptions. They are ideally suited to applied research across a broad spectrum of study, yet most books on the subject are narrowly focused, overly theoretical, or simply outdated. Robust Statistical Methods with R provides a systemati
Author : Christos P. Kitsos
Publisher : Springer Science & Business Media
ISBN 13 : 3662125161
Total Pages : 295 pages
Book Rating : 4.6/5 (621 download)
Download or read book MODA4 — Advances in Model-Oriented Data Analysis written by Christos P. Kitsos and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the proceedings of the 4th International Workshop on Model-Oriented Data Analysis. This series of events originated in 1987 at a meeting in Eisenach, that successfully brought together scientists from numerous countries of the 'East ' and 'West'. Now that this distinction is obsolete dialogue has been greatly facilitated, providing opportunities for this dialogue, however, is as vital as ever. The present meeting at Spetses, Greece from 5th to 9th of June 1995 again assembles statisticians from all over the world as this book documents. The hospitality offered by the University of Economics of Athens and the Korgialenios School made it possible to organize this workshop. The editors are also grateful to Intracom (Greece), the Ionian Bank and the Procter & Gamble Company (USA) for their generous support. We would particularly like to mention Dr. Michael Meredith, who being our contact person at Procter & Gamble, enabled us to publish these proceedings. Further thanks go to Dr. Peter Schuster from Physica Verlag Heidelberg for his continuing support of the project. The contributions to this volume were carefully selected from the submissions by the editors after a one stage refereeing process. We would like to thank the members of the MODA committee, A.C. Atkinson, R.D. Cook, V.V. Fedorov, P.Hackl, H. Lauter, B.Torsney, LN. Vuchkov, H.P.Wynn,and A.A. Zhigljavsky, who not only defined the main topics of the workshop, but also served as the referees.
Author :
Publisher :
ISBN 13 :
Total Pages : 748 pages
Book Rating : 4.3/5 (91 download)
Download or read book Mathematical Reviews written by and published by . This book was released on 1996 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Christine H. Müller
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (256 download)
Download or read book Robust Estimation with Minimum Bias and A-optimal Designs written by Christine H. Müller and published by . This book was released on 1992 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Viktor Kurotschka
Publisher :
ISBN 13 :
Total Pages : 16 pages
Book Rating : 4.:/5 (461 download)
Download or read book Robust estimation of linear aspects in average contaminated linear models written by Viktor Kurotschka and published by . This book was released on 1988 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Yonina C. Eldar
Publisher : Now Publishers Inc
ISBN 13 : 1601981309
Total Pages : 159 pages
Book Rating : 4.6/5 (19 download)
Download or read book Rethinking Biased Estimation written by Yonina C. Eldar and published by Now Publishers Inc. This book was released on 2008 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rethinking Biased Estimation discusses methods to improve the accuracy of unbiased estimators used in many signal processing problems. At the heart of the proposed methodology is the use of the mean-squared error (MSE) as the performance criteria. One of the prime goals of statistical estimation theory is the development of performance bounds when estimating parameters of interest in a given model, as well as constructing estimators that achieve these limits. When the parameters to be estimated are deterministic, a popular approach is to bound the MSE achievable within the class of unbiased estimators. Although it is well-known that lower MSE can be obtained by allowing for a bias, in applications it is typically unclear how to choose an appropriate bias. Rethinking Biased Estimation introduces MSE bounds that are lower than the unbiased Cramer-Rao bound (CRB) for all values of the unknowns. It then presents a general framework for constructing biased estimators with smaller MSE than the standard maximum-likelihood (ML) approach, regardless of the true unknown values. Specializing the results to the linear Gaussian model, it derives a class of estimators that dominate least-squares in terms of MSE. It also introduces methods for choosing regularization parameters in penalized ML estimators that outperform standard techniques such as cross validation.
