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1. Statistical Design


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2. Statistical Learning from a Regression Perspective


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3. Book reviews


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4. Least squares estimators in measurement error models under the balanced loss function


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5. Prediction of values of variables in linear measurement error model


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6. Consistent estimation of coefficients in measurement error models with replicated observations


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7. Improved Estimation in Measurement Error Models Through Stein Rule Procedure


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8. Linear Model Methodology


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9. Meta-analysis of Binary Data using Profile Likelihood


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10. Simultaneous Prediction of Actual and Average Values of Study Variable Using Stein-rule Estimators


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