Statistical Foundations for Model-Based Adjustments

Methods for Census 2000 and Statistical Adjustments

This article outlines procedures for taking the US census, making adjustments, and evaluating the results. The census turns out to be remarkably accurate. Statistical adjustment is unlikely to improve on the census, because adjustment can easily put in more error than it takes out. Indeed, error rates in the adjustment are comparable to if not larger than errors in the census. The data suggest ...

Statistical Foundations for Default Reasoning

We describe a new approach to default reason ing based on a principle of indi erence among possible worlds We interpret default rules as extreme statistical statements thus obtaining a knowledge base KB comprised of statistical and rst order statements We then assign equal probability to all worlds consistent with KB in order to assign a degree of belief to a statement The degree of belief can ...

Statistical Foundations for Precision Medicine

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Statistical Adjustments and Uncontrolled Studies

Statistical Adjustments to Engineering Models

A common problem in engineering is that the models developed based on the underlying physics of the process do not always match satisfactorily with reality. On the other hand, pure statistical models fitted based on experimental data can give more realistic predictions, but can perform poorly when predictions are made away from the observed data points. This article proposes engineering-statist...