A model based on information theory, which allows yield managers to choose the optimal strategies for yield management in microelectronic manufacturing, is presented. The data reduction rate per experimentation cycle and data reduction rate per unit time serve as benchmarking metrics for yield learning. These newly defined metrics enable managers to make objective comparisons of apparently unre...

background: this study was conducted to detect clusters of pulmonary tb cases in hamadan province, west of iran. methods: all patients with pulmonary tuberculosis recorded in the surveillance system from 2005 to 2013 were studied. the spatial scan statistic was used to detect significant clusters in status of unadjusted and adjusted for age, sex and location residence variables. results: cluste...

The objective of this study was to investigate field trends in agronomic characters of soybean (Glycine max [L.] Merr.) performance trials. Field experiments were arranged as lattice designs, and for each plot within an experiment, an environmental covariate representing the spatial trend was calculated using neighbour analysis. Correlations between environmental covariates of different charact...

field trials. The use of row-column analysis or neighbor analysis has been shown to increase the precision of a Spatial analyses of yield trials are a powerful method of adjusting large number of grain yield trials (Cullis and Gleeson, treatment means for spatial variation and improving statistical precision of mean estimation. Because yield trials are typically repeated 1989; Cullis and Gleeso...

A model based on information theory, which allows technology managers to choose the optimal strategies for yield management in the semiconductor industry, is presented. The knowledge extraction rate per experimentation cycle and knowledge extraction rate per unit time serve as benchmarking metrics for yield learning. They enable managers to make objective comparisons of apparently unrelated tec...