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Featured researches published by Elizabeth A. Peck.


Journal of Quality Technology | 1980

Interior Analysis of the Observations in Multiple Linear Regression

Douglas C. Montgomery; Edith W. Martin; Elizabeth A. Peck

A computer program for performing two diagnostic procedures suggested by Daniel and Wood for a multiple regression model is presented. The first procedure is designed to detect points that are remote in x-space and that may be overly influential on the model summary statistics. The second procedure allows the analyst to identify pairs of points that are near neighbors in x-space and to compute an estimate of pure error using the residuals at these points. Two examples are given.


Archive | 1981

Introduction to Linear Regression Analysis

Douglas C. Montgomery; Elizabeth A. Peck; G. Geoffrey Vining


Archive | 1992

Introduction to linear regres-sion analysis

Douglas C. Montgomery; Elizabeth A. Peck


The Statistician | 1994

Introduction to Linear Regression Analysis.

Vicki A. Barbur; Douglas C. Montgomery; Elizabeth A. Peck


Journal of the American Statistical Association | 1985

Introduction to Linear Regression Analysis.@@@Applied Linear Regression Models.

Paul D. Sampson; Douglas C. Montgomery; Elizabeth A. Peck; John Neter; William Wasserman; Michael Kutner


Archive | 2007

Introduction to Linear Regression Analysis, Solutions Manual (Wiley Series in Probability and Statistics)

Douglas C. Montgomery; Elizabeth A. Peck; G. Geoffrey Vining


Archive | 2013

Introduction to linear regression analysis : solutions manual to accompany

Douglas C. Montgomery; Elizabeth A. Peck; G. Geoffrey Vining; Anne G. Ryan


Archive | 2007

Introduction to linear regression analysis : student solutions manual to accompany

Douglas C. Montgomery; Elizabeth A. Peck; G. Geoffrey Vining; Scott M. Kowalski


Journal of Quality Technology | 1981

Regression Methods: A Tool for Data Analysis

Elizabeth A. Peck


Journal of Quality Technology | 1980

Computer Programs: Interior Analysis of the Observations in Multiple Linear Regression

Douglas C. Montegomery; Edith W. Martin; Elizabeth A. Peck

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Edith W. Martin

Georgia Institute of Technology

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