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Data Analysis: A Model-Comparison Approach

Vining, Geoff, Judd, Charles M., McClelland, Gary H.·1992·Technometrics

Abstract

1. Introduction to Data Analysis. 2. Simple Models: Definitions of Error and Parameter Estimates. 3. Simple Models: Models of Error and Sampling Distributions. 4. Simple Models: Statistical Inferences about Parameter Values. 5. Simple Regression: Estimating Models with a Single Continuous Predictor. 6. Multiple Regression: Models with Multiple Continuous Predictors. 7. Moderated and Nonlinear Regression Models. 8. One-Way ANOVA: Models with a Single Categorical Predictor. 9. Factorial ANOVA: Models with Multiple Categorical Predictors and Product Terms. 10. Models with Continuous and Categorical Predictors: ANCOVA. 11.Repeated-Measures ANOVA: Models with Nonindependent Errors. 12. Continuous Predictors with Nonindependent Observations. 13. Outliers and Ill-Mannered Error.

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Metadata

Authors
Vining, G., Judd, C. M., & McClelland, G. H.
Venue
Technometrics
Publisher
JSTOR
Published
1992-02
Volume
34
Issue
1
Pages
107
ISSN
0040-1706 (ISSN-L)
OpenAlex
W2135428517
Cited by
922
References
0
FWCI
12.86
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Data Analysis: A Model-Comparison Approach. https://app.cochat.ai/papers/10.2307/1269570
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Vining, G., Judd, C. M., & McClelland, G. H. (1992). Data Analysis: A Model-Comparison Approach. Technometrics. https://doi.org/10.2307/1269570

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