Exploring Data Tables Trends And Shapes

DOWNLOAD
Download Exploring Data Tables Trends And Shapes PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Exploring Data Tables Trends And Shapes book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Exploring Data Tables Trends And Shapes
DOWNLOAD
Author : David C. Hoaglin
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-28
Exploring Data Tables Trends And Shapes written by David C. Hoaglin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-28 with Mathematics categories.
WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "Exploring Data Tables, Trends, and Shapes (EDTTS) was written as a companion volume to the same editors' book, Understanding Robust and Exploratory Data Analysis (UREDA). Whereas UREDA is a collection of exploratory and resistant methods of estimation and display, EDTTS goes a step further, describing multivariate and more complicated techniques . . . I feel that the authors have made a very significant contribution in the area of multivariate nonparametric methods. This book [is] a valuable source of reference to researchers in the area." —Technometrics "This edited volume . . . provides an important theoretical and philosophical extension to the currently popular statistical area of Exploratory Data Analysis, which seeks to reveal structure, or simple descriptions, in data . . . It is . . . an important reference volume which any statistical library should consider seriously." —The Statistician This newly available and affordably priced paperback version of Exploring Data Tables, Trends, and Shapes presents major advances in exploratory data analysis and robust regression methods and explains the techniques, relating them to classical methods. The book addresses the role of exploratory and robust techniques in the overall data-analytic enterprise, and it also presents new methods such as fitting by organized comparisons using the square combining table and identifying extreme cells in a sizable contingency table with probabilistic and exploratory approaches. The book features a chapter on using robust regression in less technical language than available elsewhere. Conceptual support for each technique is also provided.
Understanding Robust And Exploratory Data Analysis
DOWNLOAD
Author : David C. Hoaglin
language : en
Publisher: John Wiley & Sons
Release Date : 2000-06-02
Understanding Robust And Exploratory Data Analysis written by David C. Hoaglin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-06-02 with Mathematics categories.
Originally published in hardcover in 1982, this book is now offered in a Wiley Classics Library edition. A contributed volume, edited by some of the preeminent statisticians of the 20th century, Understanding of Robust and Exploratory Data Analysis explains why and how to use exploratory data analysis and robust and resistant methods in statistical practice.
Methods Of Environmental Data Analysis
DOWNLOAD
Author : C. N. Hewitt
language : en
Publisher: Springer
Release Date : 2012-12-06
Methods Of Environmental Data Analysis written by C. N. Hewitt and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Social Science categories.
ENVIRONMENTAL MANAGEMENT SERIES The current expansion of both public and scientific interest in environ mental issues has not been accompanied by a commensurate production of adequate books, and those which are available are widely variable in approach and depth. The Environmental Management Series has been established with a view to co-ordinating a series of volumes dealing with each topic within the field in some depth. It is hoped that this Series will provide a uniform and quality coverage and that, over a period of years, it will build up to form a library of reference books covering most of the major topics within this diverse field. It is envisaged that the books will be of single, or dual authorship, or edited volumes as appropriate for respective topics. The level of presentation will be advanced, the books being aimed primarily at a research/consultancy readership. The coverage will include all aspects of environmental science and engineering pertinent to manage ment and monitoring of the natural and man-modified environment, as well as topics dealing with the political. t:conomic, legal and social con siderations pertaining to environmental management.
Exploratory Data Analysis With Matlab
DOWNLOAD
Author : Wendy L. Martinez
language : en
Publisher: CRC Press
Release Date : 2017-08-07
Exploratory Data Analysis With Matlab written by Wendy L. Martinez and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-07 with Mathematics categories.
Praise for the Second Edition: "The authors present an intuitive and easy-to-read book. ... accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB." —Adolfo Alvarez Pinto, International Statistical Review "Practitioners of EDA who use MATLAB will want a copy of this book. ... The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA. —David A Huckaby, MAA Reviews Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website. New to the Third Edition Random projections and estimating local intrinsic dimensionality Deep learning autoencoders and stochastic neighbor embedding Minimum spanning tree and additional cluster validity indices Kernel density estimation Plots for visualizing data distributions, such as beanplots and violin plots A chapter on visualizing categorical data
Reader S Guide To The Social Sciences
DOWNLOAD
Author : Jonathan Michie
language : en
Publisher: Routledge
Release Date : 2014-02-03
Reader S Guide To The Social Sciences written by Jonathan Michie and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-03 with Social Science categories.
This 2-volume work includes approximately 1,200 entries in A-Z order, critically reviewing the literature on specific topics from abortion to world systems theory. In addition, nine major entries cover each of the major disciplines (political economy; management and business; human geography; politics; sociology; law; psychology; organizational behavior) and the history and development of the social sciences in a broader sense.
Fundamentals Of Exploratory Analysis Of Variance
DOWNLOAD
Author : David C. Hoaglin
language : en
Publisher: John Wiley & Sons
Release Date : 2009-09-25
Fundamentals Of Exploratory Analysis Of Variance written by David C. Hoaglin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-25 with Mathematics categories.
The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces. Most chapters include exercises and the appendices give selected percentage points of the Gaussian, t, F chi-squared and studentized range distributions.
The Practice Of Data Analysis
DOWNLOAD
Author : David R. Brillinger
language : en
Publisher: Princeton University Press
Release Date : 2014-07-14
The Practice Of Data Analysis written by David R. Brillinger and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-14 with Mathematics categories.
This collection of essays brings together many of the world's most distinguished statisticians to discuss a wide array of the most important recent developments in data analysis. The book honors John W. Tukey, one of the most influential statisticians of the twentieth century, on the occasion of his eightieth birthday. Contributors, some of them Tukey's former students, use his general theoretical work and his specific contributions to Exploratory Data Analysis as the point of departure for their papers. They cover topics from "pure" data analysis, such as gaussianizing transformations and regression estimates, and from "applied" subjects, such as the best way to rank the abilities of chess players or to estimate the abundance of birds in a particular area. Tukey may be best known for coining the common computer term "bit," for binary digit, but his broader work has revolutionized the way statisticians think about and analyze sets of data. In a personal interview that opens the book, he reviews these extraordinary contributions and his life with characteristic modesty, humor, and intelligence. The book will be valuable both to researchers and students interested in current theoretical and practical data analysis and as a testament to Tukey's lasting influence. The essays are by Dhammika Amaratunga, David Andrews, David Brillinger, Christopher Field, Leo Goodman, Frank Hampel, John Hartigan, Peter Huber, Mia Hubert, Clifford Hurvich, Karen Kafadar, Colin Mallows, Stephan Morgenthaler, Frederick Mosteller, Ha Nguyen, Elvezio Ronchetti, Peter Rousseeuw, Allan Seheult, Paul Velleman, Maria-Pia Victoria-Feser, and Alessandro Villa. Originally published in 1998. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
Handbook Of Complementary Methods In Education Research
DOWNLOAD
Author : Judith L. Green
language : en
Publisher: Routledge
Release Date : 2012-01-04
Handbook Of Complementary Methods In Education Research written by Judith L. Green and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-04 with Education categories.
Published for the American Educational Research Association by Routledge. The Handbook of Complementary Methods in Education Research is a successor volume to AERA's earlier and highly acclaimed editions of Complementary Methods for Research in Education. More than any book to date (including its predecessors), this new volume brings together the wide range of research methods used to study education and makes the logic of inquiry for each method clear and accessible. Each method is described in detail, including its history, its research design, the questions that it addresses, ways of using the method, and ways of analyzing and reporting outcomes. Key features of this indispensable book include the following: Foundations Section-Part I is unique among research books. Its three chapters examine common philosophical, epistemological, and ethical issues facing researchers from all traditions, and frames ways of understanding the similarities and differences among traditions. Together they provide a tripartite lens through which to view and compare all research methods. Comprehensive Coverage-Part II (the heart of the book) presents 35 chapters on research design and analysis. Each chapter includes a brief historical overview of the research tradition, examines the questions that it addresses, and presents an example of how the approach can be used. Programs of Research-Part III examines how research programs connected to eight specific lines of inquiry have evolved over time. These chapters examine phenomena such as classroom interaction; language research; issues of race, culture, and difference; policy analysis; program evaluation; student learning; and teacher education. Complementary Methods-As the title suggests, a central mission of this book is to explore the compatibility of different research methods. Which methods can be productively brought together and for what purposes? How and on what scale can they be made compatible and what phenomena are they best suited to explore? Flexibility-The chapters in Parts II and III are largely independent. Therefore, selected portions of the book can be used in courses devoted to specific research methods and perspectives or to particular areas of education. Likewise, established researchers interested in acquiring new techniques or greater expertise in a given methodology will find this an indispensable reference volume. This handbook is appropriate for any of the following audiences: faculty teaching and graduate students studying education research, education researchers and other scholars seeking an accessible overview of state-of-the-art knowledge about specific methods, policy analysts and other professionals needing to better understand research methods, and academic and research libraries serving these audiences.
Methods For Statistical Data Analysis Of Multivariate Observations
DOWNLOAD
Author : R. Gnanadesikan
language : en
Publisher: John Wiley & Sons
Release Date : 2011-01-25
Methods For Statistical Data Analysis Of Multivariate Observations written by R. Gnanadesikan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-25 with Mathematics categories.
A practical guide for multivariate statistical techniques-- nowupdated and revised In recent years, innovations in computer technology and statisticalmethodologies have dramatically altered the landscape ofmultivariate data analysis. This new edition of Methods forStatistical Data Analysis of Multivariate Observations explorescurrent multivariate concepts and techniques while retaining thesame practical focus of its predecessor. It integrates methods anddata-based interpretations relevant to multivariate analysis in away that addresses real-world problems arising in many areas ofinterest. Greatly revised and updated, this Second Edition provides helpfulexamples, graphical orientation, numerous illustrations, and anappendix detailing statistical software, including the S (or Splus)and SAS systems. It also offers * An expanded chapter on cluster analysis that covers advances inpattern recognition * New sections on inputs to clustering algorithms and aids forinterpreting the results of cluster analysis * An exploration of some new techniques of summarization andexposure * New graphical methods for assessing the separations among theeigenvalues of a correlation matrix and for comparing sets ofeigenvectors * Knowledge gained from advances in robust estimation anddistributional models that are slightly broader than themultivariate normal This Second Edition is invaluable for graduate students, appliedstatisticians, engineers, and scientists wishing to usemultivariate techniques in a variety of disciplines.
Statistics And Data Analysis For Financial Engineering
DOWNLOAD
Author : David Ruppert
language : en
Publisher: Springer
Release Date : 2015-04-21
Statistics And Data Analysis For Financial Engineering written by David Ruppert and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-21 with Business & Economics categories.
The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.