Cart
Free Shipping in Australia
Proud to be B-Corp

Understanding Robust and Exploratory Data Analysis David C. Hoaglin

Understanding Robust and Exploratory Data Analysis By David C. Hoaglin

Understanding Robust and Exploratory Data Analysis by David C. Hoaglin


$292.79
Condition - New
Only 2 left

Summary

This text explains the necessity for and uses of both exploratory data analysis and robust and resistant methods in statistical practice. Edited by pre-eminent statisticians, it provides the conceptual, logical, and sometimes mathematical support for the more basic techniques of these methods.

Understanding Robust and Exploratory Data Analysis Summary

Understanding Robust and Exploratory Data Analysis by David C. Hoaglin

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.

Understanding Robust and Exploratory Data Analysis Reviews

"...this collection by notables in the field explains...connection of robust techniques and exploratory data analysis..." (SciTech Book News, Vol. 24, No. 4, December 2000)

About David C. Hoaglin

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.

Table of Contents

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.

Additional information

NLS9780471384915
9780471384915
0471384917
Understanding Robust and Exploratory Data Analysis by David C. Hoaglin
New
Paperback
John Wiley & Sons Inc
2000-06-14
472
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time

Customer Reviews - Understanding Robust and Exploratory Data Analysis