Understanding Robust and Exploratory Data Analysis

1. Auflage 2000
ISBN: 978-0-471-38491-5
Verlag: Wiley

Buch, Englisch, 480 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 754 g

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.

Autoren/Hrsg.

Hoaglin, David C

Mosteller, Frederick

Tukey, John W

Inhaltsverzeichnis

Stem-and-Leaf Displays (J. Emerson & D. Hoaglin).

Letter Values: A Set of Selected Order Statistics (D.Hoaglin).

Boxplots and Batch Comparison (J. Emerson & J. Strenio).

Transforming Data (J. Emerson & M. Stoto).

Resistant Lines for y Versus x (J. Emerson & D. Hoaglin).

Analysis of Two-Way Tables by Medians (J. Emerson & D.Hoaglin).

Examining Residuals (C. Goodall).

Mathematical Aspects of Transformation (J. Emerson).

Introduction to More Refined Estimators (D. Hoaglin, et al.).

Comparing Location Estimators: Trimmed Means, Medians, and Trimean(J. Rosenberger & M. Gasko).

M-Estimators of Location: An Outline of the Theory (C.Goodall).

Robust Scale Estimators and Confidence Intervals for Location (B.Iglewicz).

Index.

Über Autor(innen)

DAVID C. HOAGLIN, PhD, is a Fellow of the American Statistical Association.

FREDERICK MOSTELLER, PhD, has been the recipient of several honorary degrees and is a former President of the American Statistical Association.