Read eBook: robust asymptotic statistics

[PDF] Robust Asymptotic Statistics Download

Robust Asymptotic Statistics PDF
Author: Helmut Rieder
Publisher: Springer Science & Business Media
ISBN: 1468406248
Size: 11.98 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 390
View: 6239

Get Book


Robust Asymptotic Statistics

by Helmut Rieder, Robust Asymptotic Statistics Books available in PDF, EPUB, Mobi Format. Download Robust Asymptotic Statistics books, 1 To the king, my lord, from your servant Balasi : 2 ... The king should have a look. Maybe the scribe who reads to the king did not understand . . . . shall I personally show, with this tablet that I am sending to the king, my lord, how the omen was written. 3 Really, he who has not followed the text with his finger cannot possibly understand it. This book is about optimally robust functionals and their unbiased esti mators and tests. Functionals extend the parameter of the assumed ideal center model to neighborhoods of this model that contain the actual distri bution. The two principal questions are (F): Which functional to choose? and (P): Which statistical procedure to use for the selected functional? Using a local asymptotic framework, we deal with both problems by linking up nonparametric statistical optimality with infinitesimal robust ness criteria. Thus, seemingly separate developments in robust statistics are presented in a unifying way.


[PDF] Robust Statistical Methods With R Download

Robust Statistical Methods with R PDF
Author: Jana Jureckova
Publisher: CRC Press
ISBN: 9781420035131
Size: 56.97 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 216
View: 6675

Get Book


Robust Statistical Methods With R

by Jana Jureckova, Robust Statistical Methods With R Books available in PDF, EPUB, Mobi Format. Download Robust Statistical Methods With R books, 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across a broad spectrum of study, yet most books on the subject are narrowly focused, overly theoretical, or simply outdated.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


[PDF] Asymptotic Statistics Download

Asymptotic Statistics PDF
Author: Petr Mandl
Publisher: Springer Science & Business Media
ISBN: 3642579841
Size: 15.58 MB
Format: PDF, ePub, Docs
Category : Mathematics
Languages : en
Pages : 474
View: 2910

Get Book


Asymptotic Statistics

by Petr Mandl, Asymptotic Statistics Books available in PDF, EPUB, Mobi Format. Download Asymptotic Statistics books, 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.


[PDF] Methodology In Robust And Nonparametric Statistics Download

Methodology in Robust and Nonparametric Statistics PDF
Author: Jana Jurečková
Publisher: CRC Press
ISBN: 1439840687
Size: 36.10 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 410
View: 4722

Get Book


Methodology In Robust And Nonparametric Statistics

by Jana Jurečková, Methodology In Robust And Nonparametric Statistics Books available in PDF, EPUB, Mobi Format. Download Methodology In Robust And Nonparametric Statistics books, Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are presently nourished by data mining and high-level computer-based algorithms, but to work actively with robust and nonparametric procedures, practitioners need to understand their background. Explaining the underpinnings of robust methods and recent theoretical developments, Methodology in Robust and Nonparametric Statistics provides a profound mathematically rigorous explanation of the methodology of robust and nonparametric statistical procedures. Thoroughly up-to-date, this book Presents multivariate robust and nonparametric estimation with special emphasis on affine-equivariant procedures, followed by hypotheses testing and confidence sets Keeps mathematical abstractions at bay while remaining largely theoretical Provides a pool of basic mathematical tools used throughout the book in derivations of main results The methodology presented, with due emphasis on asymptotics and interrelations, will pave the way for further developments on robust statistical procedures in more complex models. Using examples to illustrate the methods, the text highlights applications in the fields of biomedical science, bioinformatics, finance, and engineering. In addition, the authors provide exercises in the text.


[PDF] Robust Statistics Data Analysis And Computer Intensive Methods Download

Robust Statistics  Data Analysis  and Computer Intensive Methods PDF
Author: Helmut Rieder
Publisher: Springer
ISBN:
Size: 74.99 MB
Format: PDF, Docs
Category : Mathematics
Languages : en
Pages : 427
View: 6948

Get Book


Robust Statistics Data Analysis And Computer Intensive Methods

by Helmut Rieder, Robust Statistics Data Analysis And Computer Intensive Methods Books available in PDF, EPUB, Mobi Format. Download Robust Statistics Data Analysis And Computer Intensive Methods books, To celebrate Peter Huber's 60th birthday in 1994, our university had invited for a festive occasion in the afternoon of Thursday, June 9. The invitation to honour this outstanding personality was followed by about fifty colleagues and former students from, mainly, allover the world. Others, who could not attend, sent their congratulations by mail and e-mail (P. Bickel:" ... It's hard to imagine that Peter turned 60 ... "). After a welcome address by Adalbert Kerber (dean), the following lectures were delivered. Volker Strassen (Konstanz): Almost Sure Primes and Cryptography -an Introduction Frank Hampel (Zurich): On the Philosophical Foundations of Statistics 1 Andreas Buja (Murray Hill): Projections and Sections High-Dimensional Graphics for Data Analysis. The distinguished speakers lauded Peter Huber a hard and fair mathematician, a cooperative and stimulating colleague, and an inspiring and helpful teacher. The Festkolloquium was surrounded with a musical program by the Univer 2 sity's Brass Ensemble. The subsequent Workshop "Robust Statistics, Data Analysis and Computer Intensive Methods" in Schloss Thurnau, Friday until Sunday, June 9-12, was organized about the areas in statistics that Peter Huber himself has markedly shaped. In the time since the conference, most of the contributions could be edited for this volume-a late birthday present-that may give a new impetus to further research in these fields.


[PDF] Robust Statistics Download

Robust Statistics PDF
Author: Peter J. Huber
Publisher: John Wiley & Sons
ISBN: 9780471650720
Size: 22.93 MB
Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages : 308
View: 168

Get Book


Robust Statistics

by Peter J. Huber, Robust Statistics Books available in PDF, EPUB, Mobi Format. Download Robust Statistics books, The first systematic, book-length treatment of the subject. Begins with a general introduction and the formal mathematical background behind qualitative and quantitative robustness. Stresses concepts. Provides selected numerical algorithms for computing robust estimates, as well as convergence proofs. Tables contain quantitative robustness information for a variety of estimates.


[PDF] Robust Statistical Procedures Download

Robust Statistical Procedures PDF
Author: Jana Jureckova
Publisher: John Wiley & Sons
ISBN: 9780471822219
Size: 69.66 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 466
View: 6581

Get Book


Robust Statistical Procedures

by Jana Jureckova, Robust Statistical Procedures Books available in PDF, EPUB, Mobi Format. Download Robust Statistical Procedures books, A broad and unified methodology for robust statistics—with exciting new applications Robust statistics is one of the fastest growing fields in contemporary statistics. It is also one of the more diverse and sometimes confounding areas, given the many different assessments and interpretations of robustness by theoretical and applied statisticians. This innovative book unifies the many varied, yet related, concepts of robust statistics under a sound theoretical modulation. It seamlessly integrates asymptotics and interrelations, and provides statisticians with an effective system for dealing with the interrelations between the various classes of procedures. Drawing on the expertise of researchers from around the world, and covering over a decade's worth of developments in the field, Robust Statistical Procedures: Asymptotics and Interrelations: Discusses both theory and applications in its two parts, from the fundamentals to robust statistical inference Thoroughly explores the interrelations between diverse classes of procedures, unlike any other book Compares nonparametric procedures with robust statistics, explaining in detail asymptotic representations for various estimators Provides a timesaving list of mathematical tools for the problems under discussion Keeps mathematical abstractions to a minimum, in spite of its largely theoretical content Includes useful problems and exercises at the end of each chapter Offers strategies for more complex models when using robust statistical procedures Self-contained and rounded in approach, this book is invaluable for both applied statisticians and theoretical researchers; for graduate students in mathematical statistics; and for anyone interested in the influence of this methodology.


[PDF] New Directions In Statistical Data Analysis And Robustness Download

New Directions in Statistical Data Analysis and Robustness PDF
Author: Stephan Morgenthaler
Publisher: Birkhauser
ISBN:
Size: 51.77 MB
Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 284
View: 3354

Get Book


New Directions In Statistical Data Analysis And Robustness

by Stephan Morgenthaler, New Directions In Statistical Data Analysis And Robustness Books available in PDF, EPUB, Mobi Format. Download New Directions In Statistical Data Analysis And Robustness books, Statistical data analysis has recently been enriched by the development of several new tools. The advances which they are making possible - often into unexplored territory - and the trends they are foreshadowing form the subject of this book. The topics range from theoretical considerations to practical concerns. The theory of robust statistics and foundational issues are discussed along with the strategic choices of a data analyst in the analysis of variance or the implementation of computer intensive methods for discrimination and surface fitting. Modelling in image restoration and graphical methods in the analysis of big data bases are also dealt with. The articles included in this book provide an excellent synopsis of the workshop on Data Analysis and Robustness held in Ascona, Switzerland, from June 28 through July 4, 1992. The book serves as an insightful and useful companion for students interested in research or scientists who want to learn about modern developments in the field of data analysis.


[PDF] Asymptotic Statistics Download

Asymptotic Statistics PDF
Author: A. W. van der Vaart
Publisher: Cambridge University Press
ISBN: 1107268443
Size: 33.84 MB
Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages :
View: 7632

Get Book


Asymptotic Statistics

by A. W. van der Vaart, Asymptotic Statistics Books available in PDF, EPUB, Mobi Format. Download Asymptotic Statistics books, This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and rank procedures, the book also presents recent research topics such as semiparametric models, the bootstrap, and empirical processes and their applications. The topics are organized from the central idea of approximation by limit experiments, which gives the book one of its unifying themes. This entails mainly the local approximation of the classical i.i.d. set up with smooth parameters by location experiments involving a single, normally distributed observation. Thus, even the standard subjects of asymptotic statistics are presented in a novel way. Suitable as a graduate or Master's level statistics text, this book will also give researchers an overview of research in asymptotic statistics.


[PDF] Robust Statistics Download

Robust Statistics PDF
Author: Frank R. Hampel
Publisher: John Wiley & Sons
ISBN: 1118150686
Size: 65.10 MB
Format: PDF, Mobi
Category : Mathematics
Languages : en
Pages : 502
View: 6678

Get Book


Robust Statistics

by Frank R. Hampel, Robust Statistics Books available in PDF, EPUB, Mobi Format. Download Robust Statistics books, 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.