Author : Rand R. Wilcox
Publisher : Academic Press
Page : 713 pages
File Size : 19,49 MB
Release : 2012-01-12
Category : Mathematics
ISBN : 0123869838
"This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"--
Author : Peter J. Huber
Publisher : SIAM
Page : 77 pages
File Size : 49,55 MB
Release : 1996-01-01
Category : Mathematics
ISBN : 9781611970036
Here is a brief, well-organized, and easy-to-follow introduction and overview of robust statistics. Huber focuses primarily on the important and clearly understood case of distribution robustness, where the shape of the true underlying distribution deviates slightly from the assumed model (usually the Gaussian law). An additional chapter on recent developments in robustness has been added and the reference list has been expanded and updated from the 1977 edition.
Author : Rand R. Wilcox
Publisher : Academic Press
Page : 812 pages
File Size : 11,61 MB
Release : 2016-09-02
Category : Mathematics
ISBN : 012804781X
Introduction to Robust Estimating and Hypothesis Testing, 4th Editon, is a 'how-to' on the application of robust methods using available software. Modern robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can provide substantial gains in power as well as a deeper, more accurate and more nuanced understanding of data. Since the last edition, there have been numerous advances and improvements. They include new techniques for comparing groups and measuring effect size as well as new methods for comparing quantiles. Many new regression methods have been added that include both parametric and nonparametric techniques. The methods related to ANCOVA have been expanded considerably. New perspectives related to discrete distributions with a relatively small sample space are described as well as new results relevant to the shift function. The practical importance of these methods is illustrated using data from real world studies. The R package written for this book now contains over 1200 functions. New to this edition - 35% revised content - Covers many new and improved R functions - New techniques that deal with a wide range of situations - Extensive revisions to cover the latest developments in robust regression - Covers latest improvements in ANOVA - Includes newest rank-based methods - Describes and illustrated easy to use software
Author : Lubor Lacina
Publisher : Vernon Press
Page : 267 pages
File Size : 41,87 MB
Release : 2018-01-15
Category : Business & Economics
ISBN : 1622733487
European economic recovery appears to be taking hold. So is the European crisis over? The acute phase of the crisis passed, however a number of medium and long term issues remain. The policies of “internal devaluations” are working, albeit slowly, to restore competitiveness in the countries most affected by the crisis. However, growth remains at best sluggish. The medium and long term outlook remains highly uncertain, fomenting social tensions and endangering political stability. The restoration of economic dynamism is increasingly perceived as the answer to the question of the “European” future – economically, politically and socially. There is a broad consensus that dynamic structural reforms and the restoration of competitiveness at the level of the global economy are key answers to current European challenges. However, whatever the form these may take, the transfer of resources is implicit (and seemingly necessary), to underpin the current structure of eurozone. This indeed raises the question of governance – both fiscal and monetary. After all, the provision of resources implies an allocation – and it is hard to imagine that resources will be provided to the common pool unless the providers have some say with respect to allocation. And that requires some form of common (i.e. centralized) decision-making procedures, in all likelihood exceeding the common understanding of the acquis communautaire as it exists today – i.e. some form of the effective political arrangement. In this context, the basic idea which connects all contributions in this volume is the analysis of the problems which affected the Eurozone in the past decade and the challenges and dilemmas the Eurozone will face in the coming years.
Author : Frost
Publisher : Statistics by Jim Publishing
Page : 0 pages
File Size : 22,37 MB
Release : 2024-09-22
Category : Computers
ISBN :
BONUS! Hardcover edition contains a 42-page bonus chapter! Other Multivariate Methods Learn regression analysis at a deeper level with guidance written in everyday language! Intuitively understand regression analysis by focusing on concepts and graphs rather than equations. Learn practical tips for modeling your data and interpreting the results. Feel confident that you're analyzing your data properly and able to trust your results. Know that you can detect and correct problems that arise. Progress from a beginner to a skilled practitioner ready for real-world applications! After an overview of how regression works and why to use it, the book covers a range of topics, including specifying and assessing models, practical applications, types of effects, statistical significance, predictions, and an array of problem-solving techniques. Contains practical and analytical guidance. Select the correct type of regression analysis. Specify the best model and assess how well it fits the data. Interpret the results. Understand main effects, interaction effects, and modeling curvature. Use polynomials, data transformations, and weighted least squares. Generate predictions and evaluate their precision. Check the assumptions and resolve issues. Identify and manage unusual observations. Examples of many regression models and scenarios. Access free downloadable datasets so you can work the examples yourself.
Author : Robert L. Launer
Publisher :
Page : 330 pages
File Size : 29,50 MB
Release : 1979
Category : Mathematics
ISBN :
An introduction to robust estimation; The robustness of residual displays; Robust smoothing; Robust pitman-like estimators; Robust estimation in the presence of outliers; Study of robustness by simulation: particularly improvement by adjustment and combination; Robust techniques for the user; Application of robust regression to trajectory data reduction; Tests for censoring of extreme values (especially) when population distributions are incompletely defined; Robust estimation for time series autoregressions; Robust techniques in communication; Robustness in the strategy of scientific model building; A density-quantile function perspective on robust.
Author : David Birkes
Publisher : John Wiley & Sons
Page : 248 pages
File Size : 44,16 MB
Release : 2011-09-20
Category : Mathematics
ISBN : 1118150244
Of related interest. Nonlinear Regression Analysis and its Applications Douglas M. Bates and Donald G. Watts ".an extraordinary presentation of concepts and methods concerning the use and analysis of nonlinear regression models.highly recommend[ed].for anyone needing to use and/or understand issues concerning the analysis of nonlinear regression models." --Technometrics This book provides a balance between theory and practice supported by extensive displays of instructive geometrical constructs. Numerous in-depth case studies illustrate the use of nonlinear regression analysis--with all data sets real. Topics include: multi-response parameter estimation; models defined by systems of differential equations; and improved methods for presenting inferential results of nonlinear analysis. 1988 (0-471-81643-4) 365 pp. Nonlinear Regression G. A. F. Seber and C. J. Wild ".[a] comprehensive and scholarly work.impressively thorough with attention given to every aspect of the modeling process." --Short Book Reviews of the International Statistical Institute In this introduction to nonlinear modeling, the authors examine a wide range of estimation techniques including least squares, quasi-likelihood, and Bayesian methods, and discuss some of the problems associated with estimation. The book presents new and important material relating to the concept of curvature and its growing role in statistical inference. It also covers three useful classes of models --growth, compartmental, and multiphase --and emphasizes the limitations involved in fitting these models. Packed with examples and graphs, it offers statisticians, statistical consultants, and statistically oriented research scientists up-to-date access to their fields. 1989 (0-471-61760-1) 768 pp. Mathematical Programming in Statistics T. S. Arthanari and Yadolah Dodge "The authors have achieved their stated intention.in an outstanding and useful manner for both students and researchers.Contains a superb synthesis of references linked to the special topics and formulations by a succinct set of bibliographical notes.Should be in the hands of all system analysts and computer system architects." --Computing Reviews This unique book brings together most of the available results on applications of mathematical programming in statistics, and also develops the necessary statistical and programming theory and methods. 1981 (0-471-08073-X) 413 pp.
Author :
Publisher :
Page : 464 pages
File Size : 11,75 MB
Release : 1995
Category : Aeronautics
ISBN :
Author : Peter J. Rousseeuw
Publisher : John Wiley & Sons
Page : 329 pages
File Size : 27,95 MB
Release : 2005-02-25
Category : Mathematics
ISBN : 0471725374
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
Author : Daniel Navarro
Publisher : Lulu.com
Page : 617 pages
File Size : 39,1 MB
Release : 2013-01-13
Category : Computers
ISBN : 1326189727
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
