Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
An Empirical Evaluation Of Procedures For The Identification Of Outliers In Multivariate Data
Download An Empirical Evaluation Of Procedures For The Identification Of Outliers In Multivariate Data full books in PDF, epub, and Kindle. Read online An Empirical Evaluation Of Procedures For The Identification Of Outliers In Multivariate Data ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis An Empirical Evaluation of Procedures for the Identification of Outliers in Multivariate Data by : Hyeseon Joo, 1962-
Download or read book An Empirical Evaluation of Procedures for the Identification of Outliers in Multivariate Data written by Hyeseon Joo, 1962- and published by . This book was released on 1993 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Statistical Technique for Computer Identification of Outliers in Multivariate Data by : Ram Swaroop
Download or read book A Statistical Technique for Computer Identification of Outliers in Multivariate Data written by Ram Swaroop and published by . This book was released on 1971 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: A statistical technique and the necessary computer program for editing multivariate data are presented. The technique is particularly useful when large quantities of data are collected and the editing must be performed by automatic means. One task in the editing process is the identification of outliers, or observations which deviate markedly from the rest of the sample. A statistical technique, and the related computer program, for identifying the outliers in univariate data was presented in NASA TN D-5275. The current report is a multivariate analog which considers the statistical linear relationship between the variables in identifying the outliers. The program requires as inputs the number of variables, the data set, and the level of significance at which outliers are to be identified. It is assumed that the data are from a multivariate normal population and the sample size is at least two greater than the number of variables. Although the technique has been used primarily in editing biodata, the method is applicable to any multivariate data encountered in engineering and the physical sciences. An example is presented to illustrate the technique.
Book Synopsis Statistical Identification of Multivariate Outliers with Applications to Bioequivalence Evaluation by : 黃証群
Download or read book Statistical Identification of Multivariate Outliers with Applications to Bioequivalence Evaluation written by 黃証群 and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applied Multivariate Analysis by : Neil H. Timm
Download or read book Applied Multivariate Analysis written by Neil H. Timm and published by Springer Science & Business Media. This book was released on 2007-06-21 with total page 709 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter contains the development of basic theoretical results with numerous applications illustrated using examples from the social and behavioral sciences, and other disciplines. All examples are analyzed using SAS for Windows Version 8.0.
Book Synopsis Identification of Outliers by : Douglas M. Hawkins
Download or read book Identification of Outliers written by Douglas M. Hawkins and published by Taylor & Francis. This book was released on 1980 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: General theoretical principles; A single outlier in normal samples; The gamma distribution; Multiple outliers; Non-parametric tests; Outliers from the linear model; Multivariate outlier detection; Bayesian approach to outliers; Miscellaneous topics.
Book Synopsis Robust Regression and Outlier Detection by : Peter J. Rousseeuw
Download or read book Robust Regression and Outlier Detection written by Peter J. Rousseeuw and published by John Wiley & Sons. This book was released on 2005-02-25 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Outlier Detection and Editing Procedures for Continuous Multivariate Data by : Bonnie Ghosh-Dastider
Download or read book Outlier Detection and Editing Procedures for Continuous Multivariate Data written by Bonnie Ghosh-Dastider and published by . This book was released on 2003 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: We present a semi-automatic method of outlier detection for continuous, multivariate survey data. In large datasets, outliers may be diffcult to find using informal inspection and graphical displays, particularly when there are missing values. Our method relies on an explicit probability model for the data. The raw data with outliers is described by a contaminated multivariate normal distribution, and an EM algorithm is applied to obtain robust estimates of the means and covariances. Mahalanobis distances are computed to identify potential outliers. The procedure is implemented in a software product which detects outliers and suggests edits to remove offending values. We apply the algorithm to body-measurement data from the Third National Health and Nutrition Examination Survey. This method works quite generally for continuous survey data, and is particularly useful when inter-variable correlations are strong.
Book Synopsis Outlier Analysis by : Charu C. Aggarwal
Download or read book Outlier Analysis written by Charu C. Aggarwal and published by Springer. This book was released on 2016-12-10 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be organized into three categories: Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis, including probabilistic and statistical methods, linear methods, proximity-based methods, high-dimensional (subspace) methods, ensemble methods, and supervised methods. Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains of data, such as text, categorical data, time-series data, discrete sequence data, spatial data, and network data. Applications: Chapter 13 is devoted to various applications of outlier analysis. Some guidance is also provided for the practitioner. The second edition of this book is more detailed and is written to appeal to both researchers and practitioners. Significant new material has been added on topics such as kernel methods, one-class support-vector machines, matrix factorization, neural networks, outlier ensembles, time-series methods, and subspace methods. It is written as a textbook and can be used for classroom teaching.
Book Synopsis Annual Report of the Biometrics Unit, Department of Plant Breeding and Biometry by : Cornell University. Biometrics Unit
Download or read book Annual Report of the Biometrics Unit, Department of Plant Breeding and Biometry written by Cornell University. Biometrics Unit and published by . This book was released on 1991 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Library Acquisitions List by : Martin P. Catherwood Library
Download or read book Library Acquisitions List written by Martin P. Catherwood Library and published by . This book was released on 1993 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Introduction to Applied Multivariate Analysis with R by : Brian Everitt
Download or read book An Introduction to Applied Multivariate Analysis with R written by Brian Everitt and published by Springer Science & Business Media. This book was released on 2011-04-23 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.
Book Synopsis Best Practices in Quantitative Methods by : Jason W. Osborne
Download or read book Best Practices in Quantitative Methods written by Jason W. Osborne and published by SAGE. This book was released on 2008 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.
Book Synopsis Monthly Catalog of United States Government Publications by :
Download or read book Monthly Catalog of United States Government Publications written by and published by . This book was released on with total page 1386 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Scientific Information Systems by : Robert W. Holt
Download or read book Scientific Information Systems written by Robert W. Holt and published by Routledge. This book was released on 2017-03-02 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Safety critical jobs in fields such as aviation and nuclear power plants require a careful and comprehensive analysis of all factors relevant to critical job performance. Understanding how these factors uniquely and in combination, affect performance requires interconnecting a job performance database with several other information databases. The scientific method is necessary to ensure information quality; to solve problems or project trends; and to correctly evaluate changes in selection, training, performance evaluation, the person-machine interface, or team dynamics. Combining the scientific method with the construction, validation and use of the information databases results in a Scientific Information System (SIS), which joins practical utility with powerful evauations of relevant theories. This book discusses how to blend scientific methods with the broad capabilities of computer database information systems. This synthesis will aid anyone who is trying to explain, predict, or change the behavior of a complex system involving humans. Whilst developed from research on information systems in the aviation industry, the principles and methods are universal and the book provides conceptual guidance for the construction and use of such systems in other domains. The examples clarify the advantages of this type of information system and the enormous potential power for understanding a target system completely and accurately.
Book Synopsis Monthly Catalog of United States Government Publications, Cumulative Index by : United States. Superintendent of Documents
Download or read book Monthly Catalog of United States Government Publications, Cumulative Index written by United States. Superintendent of Documents and published by . This book was released on 1976 with total page 1466 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Best Practices in Data Cleaning by : Jason W. Osborne
Download or read book Best Practices in Data Cleaning written by Jason W. Osborne and published by SAGE. This book was released on 2013 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many researchers jump straight from data collection to data analysis without realizing how analyses and hypothesis tests can go profoundly wrong without clean data. This book provides a clear, step-by-step process of examining and cleaning data in order to decrease error rates and increase both the power and replicability of results. Jason W. Osborne, author of Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are research-based and will motivate change in practice by empirically demonstrating, for each topic, the benefits of following best practices and the potential consequences of not following these guidelines. If your goal is to do the best research you can do, draw conclusions that are most likely to be accurate representations of the population(s) you wish to speak about, and report results that are most likely to be replicated by other researchers, then this basic guidebook will be indispensible.
Book Synopsis Scientific and Technical Aerospace Reports by :
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1988 with total page 964 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
