PERCENTAGE COMPARISONS.

Discreteness Causes Bias in Percentage-Based Comparisons: A Case Study From Educational Testing

Detection Percentage

feel that the results we show, particularly in Figure 6, are on much more complex examples and that we have processed much larger number of buildings than reported in the previous literature ([5], [2], and [9]). We feel that our method has advantage over monocular systems such as ([5]) due to its ability to infer 3-D more directly and of having several views to validate the hypotheses. We feel ...

Least Squares Percentage Regression

Percentage error (relative to the observed value) is often felt to be more meaningful than the absolute error in isolation. The mean absolute percentage error (MAPE) is widely used in forecasting as a basis of comparison, and regression models can be fitted which minimize this criterion. Unfortunately, no formula exists for the coefficients, and models for a given data set may not be unique. We...

Bivariate Fit for Percentage Of

Expanding upon work by Diessel & Tomasello (2005, hereafter D&T) and Gries (to appear), 1 this study explores particle positioning in child language as a gradual cognitive-pragmatic development based on statistical distribution of input. The phenomenon of particle position alternation is peculiar insofar as it defines a category of combinations which show syntactic variation without concomitant...

Optimization of Percentage Cube Queries

OLAP cubes are a powerful database technology to join tables and aggregate data to discover interesting trends. However, OLAP cubes exhibit limitations to uncover fractional relationships on a measure aggregated at multiple granularity levels. One prominent example is the percentage, an intuitive probablistic metric, used in practically every analytic application. With such motivation in mind, ...