Author : D.R. Cox
Publisher : CRC Press
Page : 344 pages
File Size : 21,80 MB
Release : 1992-04-01
Category : Mathematics
ISBN : 9780412063213
These papers illustrate important features characteristic of John Tukey's work, namely the desire to look beyond or beneath conventional set structures, the wish to detect and deal with anomalous behavior, and great technical ingenuity.
Author : William S. Cleveland
Publisher : CRC Press
Page : 528 pages
File Size : 48,83 MB
Release : 1988-04-01
Category : Mathematics
ISBN : 9780412992612
This book includes a collection of John W. Tukey's papers that demonstrate a number of numerical methods and graphical methods, such as box plots, stem-and-leaf diagrams, and point cloud rotation, for graphics and exploratory data analysis.
Author : L.V. Jones
Publisher : CRC Press
Page : 630 pages
File Size : 48,10 MB
Release : 1987-05-15
Category : Mathematics
ISBN : 9780534051013
This volume of eleven articles compiles important papers by Tukey that examine the intriguing problems inherent in the area of multiple comparisons and provide a useful framework for thinking about them. Each volume in the set is indexed and contains a bibliography.
Author : Jeff Austin. Brillinger
Publisher : CRC Press
Page : 764 pages
File Size : 16,72 MB
Release : 1984-02-01
Category : Mathematics
ISBN : 9780412742408
First of an eight-volume set, documenting Tukey's work from the 1940s to the 1980s One of the late 20th Century's leading innovators and influences on data analysis, John W. Tukey's discoveries and methods have greatly impacted the work of statisticians throughout the world. The Collected Works of John W. Tukey begins here, with 14 chapters on time series analysis.
Author : Robert L. Launer
Publisher : Academic Press
Page : 216 pages
File Size : 41,78 MB
Release : 2014-05-12
Category : Mathematics
ISBN : 1483263061
Modern Data Analysis contains the proceedings of a Workshop on Modern Data Analysis held in Raleigh, North Carolina, on June 2-4, 1980 under the auspices of the United States Army Research Office. The papers review theories and methods of data analysis and cover topics ranging from single and multiple quantile-quantile (Q-Q) plotting procedures to biplot display and pencil-and-paper exploratory data analysis methods. Projection pursuit methods for data analysis are also discussed. Comprised of nine chapters, this book begins with an introduction to styles of data analysis techniques, followed by an analysis of single and multiple Q-Q plotting procedures. Problems involving extreme-value data and the behavior of sample averages are considered. Subsequent chapters deal with the use of smelting in guiding re-expression; geometric data analysis; and influence functions and regression diagnostics. The final chapter examines the use and interpretation of robust analysis of variance for the general non-full-rank linear model. The procedures are described in terms of their mathematical structure, which leads to efficient computational algorithms. This monograph should be of interest to mathematicians and statisticians.
Author : W. F. Eddy
Publisher : Springer Science & Business Media
Page : 375 pages
File Size : 28,77 MB
Release : 2012-12-06
Category : Mathematics
ISBN : 1461394643
The 13th Symposium on the Interface continued this series after a one year pause. The objective of these symposia is to provide a forum for the interchange of ideas of common concern to computer scientists and statisticians. The sessions of the 13th Symposium were held in the Pittsburgh Hilton Hotel, Gateway Center, Pittsburgh. Following established custom the 13th Symposium had organized workshops on various topics of interest to participants. The workshop format allowed the invited speakers to present their material variously as formal talks, tutorial sessions and open discussion. The Symposium schedule was also the customary one. Registration opened in late afternoon of March 11, 1981 and continued during the opening mixer held that evening: The formal opening of the Symposium was on the morning of March 12. The opening remarks were followed by Bradley Efron's address "Statistical Theory and the Computer." The rest of the daily schedule was three concurrent workshops in the morning and three in the afternoon with contributed poster sessions during the noon break. Additionally there were several commercial displays and guided tours of Carnegie-Mellon University's Computer Center, Computer Science research facilities, and Robotics Institute.
Author :
Publisher :
Page : 188 pages
File Size : 29,46 MB
Release : 1981
Category : Science
ISBN :
Author : Siegmund Brandt
Publisher : Springer Science & Business Media
Page : 532 pages
File Size : 31,16 MB
Release : 2014-02-14
Category : Science
ISBN : 3319037625
The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is illustrated by many examples and for the present edition a library of Java programs has been developed. It comprises methods of numerical data analysis and graphical representation as well as many example programs and solutions to programming problems. The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data in laboratory courses, in working for bachelor or master degrees, in thesis work, and in research and professional work.
Author : Måns Thulin
Publisher :
Page : 0 pages
File Size : 26,89 MB
Release : 2024
Category : Mathematics
ISBN : 9781032497457
The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. Modern Statistics with R introduces you to key parts of this modern statistical toolkit. It teaches you: Data wrangling - importing, formatting, reshaping, merging, and filtering data in R. Exploratory data analysis - using visualisations and multivariate techniques to explore datasets. Statistical inference - modern methods for testing hypotheses and computing confidence intervals. Predictive modelling - regression models and machine learning methods for prediction, classification, and forecasting. Simulation - using simulation techniques for sample size computations and evaluations of statistical methods. Ethics in statistics - ethical issues and good statistical practice. R programming - writing code that is fast, readable, and (hopefully!) free from bugs. No prior programming experience is necessary. Clear explanations and examples are provided to accommodate readers at all levels of familiarity with statistical principles and coding practices. A basic understanding of probability theory can enhance comprehension of certain concepts discussed within this book. In addition to plenty of examples, the book includes more than 200 exercises, with fully worked solutions available at: www.modernstatisticswithr.com.
Author : John Wilder Tukey
Publisher :
Page : 642 pages
File Size : 19,49 MB
Release : 1984
Category : Mathematical statistics
ISBN :
