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 comp...
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.
