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Cited by 1,042

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Applied Regression Analysis, Linear Models, and Related Methods

Gray, J. Brian·1998·Technometrics

Abstract

PART ONE: PRELIMINARIES Statistics and Social Science What Is Regression Analysis? Examining Data Transforming Data PART TWO: LINEAR MODELS AND LEAST SQUARES Linear Least-Squares Regression Statistical Inference for Regression Dummy-Variable Regression Analysis of Variance Statistical Theory for Linear Models The Vector Geometry of Linear Models PART THREE: LINEAR-MODEL DIAGNOSTICS Unusual and Influential Data Diagnosing Nonlinearity, Nonconstant Error Variance, and Nonnormality Collinearity and Its Purported Remedies PART FOUR: BEYOND LINEAR LEAST SQUARES Extending Linear Least Squares Time Series, Nonlinear, Robust, and Nonparametric Regression Logit and Probit Models Assessing Sampling Variation Bootstrapping and Cross-Validation

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Metadata

Authors
Gray, J. B.
Venue
Technometrics
Published
1998-05
Volume
40
Issue
2
Pages
156-156
ISSN
  • 0040-1706 (ISSN-L)
  • 1537-2723
OpenAlex
W2160639727
Cited by
1,042
References
4
FWCI
20.59
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Applied Regression Analysis, Linear Models, and Related Methods. https://app.cochat.ai/papers/10.1080/00401706.1998.10485201
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Gray, J. B. (1998). Applied Regression Analysis, Linear Models, and Related Methods. Technometrics. https://doi.org/10.1080/00401706.1998.10485201

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