Leverage, influence and residuals in regression models when observations are correlated
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Publication:3135639
DOI10.1080/03610929208830840zbMath0800.62369OpenAlexW2166480056MaRDI QIDQ3135639
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Publication date: 11 October 1993
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610929208830840
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Linear regression; mixed models (62J05)
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- Detection of influential observations in regression model with autocorrelated errors
- Exact maximum likelihood for incomplete data from a correlated gaussian process
- Information loss due to incomplete data from a spatial gaussian one-parameter first-order conditional process
- Recursive Residuals on a Rectangular Lattice
- Regression Diagnostics for General Linear Regression Models
- Influence Analysis of Generalized Least Squares Estimators
- Testing for the Independence of Regression Disturbances
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