Provider: ingentaconnect
Database: ingentaconnect
Content: application/x-research-info-systems
TY - ABST
AU - Lodder, Robert A.
AU - Hieftje, Gary M.
TI - Quantile Analysis: A Method for Characterizing Data Distributions
JO - Applied Spectroscopy
PY - 1988-11-01T00:00:00///
VL - 42
IS - 8
SP - 1512
EP - 1520
KW - Near-infrared, Chemometrics
N2 - Analyzing distributions of data represents a common problem in chemistry. Quantile-quantile (QQ) plots provide a useful way to attack this problem. These graphs are often used in the form of the normal probability plot, to determine whether the residuals from a fitting process are randomly
distributed and therefore whether an assumed model fits the data at hand. By comparing the integrals of two probability density functions in a single plot, QQ plotting methods are able to capture the location, scale, and skew of a data set. This procedure provides more information to the analyst
than do classical statistical methods that rely on a single test statistic for distribution comparisons.
UR - http://www.ingentaconnect.com/content/sas/sas/1988/00000042/00000008/art00026
M3 - doi:10.1366/0003702884429724
UR - http://dx.doi.org/10.1366/0003702884429724
ER -