Citations (7)
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Gülhan Alpargu & Pierre Dutilleul. (2006) Stepwise Regression in Mixed Quantitative Linear Models with Autocorrelated Errors. Communications in Statistics - Simulation and Computation 35:1, pages 79-104.
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Gülhan Alpargu & Pierre Dutilleul. (2003) To be or not to be valid in testing the significance of the slope in simple quantitative linear models with autocorrelated errors. Journal of Statistical Computation and Simulation 73:3, pages 165-180.
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Articles from other publishers (5)
C Bottomley, M Ooko, A Gasparrini & RH Keogh. (2023)
In
praise of
Prais‐Winsten
: An evaluation of methods used to account for autocorrelation in interrupted time series
. Statistics in Medicine 42:8, pages 1277-1288.
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Simon L. Turner, Andrew B. Forbes, Amalia Karahalios, Monica Taljaard & Joanne E. McKenzie. (2021) Evaluation of statistical methods used in the analysis of interrupted time series studies: a simulation study. BMC Medical Research Methodology 21:1.
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Tony E. Smith & Ka Lok Lee. (2011) The effects of spatial autoregressive dependencies on inference in ordinary least squares: a geometric approach. Journal of Geographical Systems 14:1, pages 91-124.
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Pierre Dutilleul, Brian F. Cumming & Melinda Lontoc-Roy. 2012. Tracking Environmental Change Using Lake Sediments. Tracking Environmental Change Using Lake Sediments
523
548
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Pierre Dutilleul, Bernard Pelletier & Gülhan Alpargu. (2008) Modified tests for assessing the multiple correlation between one spatial process and several others. Journal of Statistical Planning and Inference 138:5, pages 1402-1415.
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