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An analysis of covariance markov model for interrupted time series experiments

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Publication:3886708
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DOI10.1080/03610927908827799zbMath0443.62070OpenAlexW1970379503MaRDI QIDQ3886708

Bradley E. Huitema

Publication date: 1979

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610927908827799


zbMATH Keywords

serial correlationautocorrelationintervention analysiscovariance Markov modelinterrupted time series experimentsquasi- experiment


Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)


Related Items (2)

Optimal fractal-scaling analysis of human EEG dynamic for depth of anesthesia quantification ⋮ Reasoning about nonlinear system identification



Cites Work

  • A change in level of a non-stationary time series




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