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| Author | : Allen J. Pope |
| Publisher | : |
| Total Pages | : 462 |
| Release | : 1976 |
| Genre | : Analysis of variance |
| ISBN | : |
| Author | : Allen J. Pope |
| Publisher | : |
| Total Pages | : 136 |
| Release | : 1976 |
| Genre | : Analysis of variance |
| ISBN | : |
| Author | : Peter J. Rousseeuw |
| Publisher | : John Wiley & Sons |
| Total Pages | : 329 |
| Release | : 2005-02-25 |
| Genre | : 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 | : Openstax |
| Publisher | : |
| Total Pages | : 914 |
| Release | : 2022-03-23 |
| Genre | : Mathematics |
| ISBN | : 9788565775120 |
Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs. Senior Contributing Authors Barbara Illowsky, De Anza College Susan Dean, De Anza College Contributing Authors Daniel Birmajer, Nazareth College Bryan Blount, Kentucky Wesleyan College Sheri Boyd, Rollins College Matthew Einsohn, Prescott College James Helmreich, Marist College Lynette Kenyon, Collin County Community College Sheldon Lee, Viterbo University Jeff Taub, Maine Maritime Academy
| Author | : D. Hawkins |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 194 |
| Release | : 2013-04-17 |
| Genre | : Science |
| ISBN | : 9401539944 |
The problem of outliers is one of the oldest in statistics, and during the last century and a half interest in it has waxed and waned several times. Currently it is once again an active research area after some years of relative neglect, and recent work has solved a number of old problems in outlier theory, and identified new ones. The major results are, however, scattered amongst many journal articles, and for some time there has been a clear need to bring them together in one place. That was the original intention of this monograph: but during execution it became clear that the existing theory of outliers was deficient in several areas, and so the monograph also contains a number of new results and conjectures. In view of the enormous volume ofliterature on the outlier problem and its cousins, no attempt has been made to make the coverage exhaustive. The material is concerned almost entirely with the use of outlier tests that are known (or may reasonably be expected) to be optimal in some way. Such topics as robust estimation are largely ignored, being covered more adequately in other sources. The numerous ad hoc statistics proposed in the early work on the grounds of intuitive appeal or computational simplicity also are not discussed in any detail.
| Author | : MIT Critical Data |
| Publisher | : Springer |
| Total Pages | : 435 |
| Release | : 2016-09-09 |
| Genre | : Medical |
| ISBN | : 3319437429 |
This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.
| Author | : A. Colin Cameron |
| Publisher | : Cambridge University Press |
| Total Pages | : 436 |
| Release | : 1998-09-28 |
| Genre | : Business & Economics |
| ISBN | : 9780521635677 |
This analysis provides a comprehensive account of models and methods to interpret frequency data.
| Author | : Boris Iglewicz |
| Publisher | : Quality Press |
| Total Pages | : 99 |
| Release | : 1993-01-08 |
| Genre | : Business & Economics |
| ISBN | : 0873892607 |
Outliers are the key focus of this book. The authors concentrate on the practical aspects of dealing with outliers in the forms of data that arise most often in applications: single and multiple samples, linear regression, and factorial experiments. Available only as an E-Book.
| Author | : P. Manohar |
| Publisher | : LAP Lambert Academic Publishing |
| Total Pages | : 192 |
| Release | : 2013 |
| Genre | : |
| ISBN | : 9783659389702 |
In the present book, Chapter I gives the introduction about the concept of outliers along with the statistical inference in linear regression model. The various test statistics for detecting outliers such as Maximum Normed Residual, Extreme Studentized Deviation, Studentized Range, Kurtosis, R-Statistic, Maximum Eigen differences Least Medium Squares (LMS) estimator, Mahalanobis Distance, Cooks Distance, DFFITS, DF BETAS, COVRATIO, Scale ratio, Gap Test Statistic and 2-sigma Region have been described in Chapter II. Different test procedures to detect the outliers have been reviewed in brief in Chapter III. In Chapter IV some new tests for detecting outliers have been suggested based on different types of residuals and dummy variables.The summary and conclusions along with plan for the future research have been in Chapter V. Several research articles and related books are presented under BIBLIOGRAPHY.
| Author | : Vic Barnett |
| Publisher | : John Wiley & Sons |
| Total Pages | : 616 |
| Release | : 1994-05-09 |
| Genre | : Mathematics |
| ISBN | : |
Every essential area is thoroughly updated to reflect the latest state of knowledge. All the topics are fully revised and extended, and additional topics and new emphases are presented.
