Evaluating Mode Effects in Mixed-Mode Survey Data Using Covariate Adjustment Models

Failure Mode and Effects Analysis Using Data Envelopment Analysis

Mixed Mode Cascaded Classification Models

We present here Mixed Mode Cascaded Classification Models, an algorithmic framework that seeks to effectively solve a wide range of machine learning tasks in a “plug and play” manner. It does this by sharing predictions between machine learning tasks, thus giving each task additional high-level information that can be used to solve its specific problem. We consider here a specific implementatio...

failure mode and effects analysis using data envelopment analysis

failure mode and effects analysis using data envelopment analysis

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Maximizing Data Quality using Mode Switching in Mixed-Device Survey Design: Nonresponse Bias and Models of Demographic Behavior

Conducting survey interviews on the internet has become an attractive method for lowering data collection costs and increasing the frequency of interviewing, especially in longitudinal studies. However, the advantages of the web mode for studies with frequent re-interviews can be offset by the serious disadvantage of low response rates and the potential for nonresponse bias to mislead investiga...