2925 search results - page 1 / 585 » Input Modeling Using Quantile Statistical Methods |
WSC
2004
13 years 6 months ago
2004
This paper applies quantile data analysis to input modeling in simulation. We introduce the use of QIQ plots to identify suitable distributions fitting the data and comparison dis...
WSC
2007
13 years 7 months ago
2007
Quantiles, also known as value-at-risk in financial applications, are important measures of random performance. Quantile sensitivities provide information on how changes in the i...
ISBI
2006
IEEE
14 years 5 months ago
2006
IEEE
We present a novel histogram method for statistically characterizing the appearance of deformable models. In deformable model segmentation, appearance models measure the likelihoo...
CSDA
2008
13 years 5 months ago
2008
An algorithm for time-adaptive quantile regression is presented. The algorithm is based on the simplex algorithm, and the linear optimization formulation of the quantile regressio...
ICDM
2009
IEEE
13 years 11 months ago
2009
IEEE
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...