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Application of Quasi-Least Squares to Analyse Replicated Autoregressive Time Series Regression Models

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A Study for Missing Values in PINAR(1)T Processes

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Correction of Bias in Imputing Missing Values of Categorical Variables

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Missing Values in Linear Regression: Imputations Using An Error-Contaminated Linear Predictor

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Communications in Statistics: Theory and Methods, Vol. 44, Iss. 8, 2015-04 ,pp. : 1735-1744

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