Moti Lal Tiku has written:

'Robust inference' -- subject(s): Estimation theory, Nonparametric statistics, Robust statistics

William J. J. Rey has written:

'Introduction to robust and quasi-robust statistical methods' -- subject(s): Robust statistics

Osama Abdelaziz Hussein has written:

'Robust estimation for the mean of skewed distributions' -- subject(s): Robust statistics, Estimation theory

Robust statistics provide an alternative approach to classical statistical estimators

such as mean, standard deviation (SD), and percent coefficient of variation

(%CV). These alternative procedures are more resistant to the statistical

influences of outlying events in a sample population-hence the term "robust."

Real data sets often contain gross outliers, and it is impractical to systematically

attempt to remove all outliers by gating procedures or other rule sets.

The robust equivalent of the mean statistic is the median. The robust SD is

designated rSD and the percent robust CV is designated %rCV. For perfectly

normal distributions, classical and robust statistics give the same results.

Saleh Khudirat, PhD

Statistics is a general field of numeric quantities and what they represent. For example, a statistic may be inferential or descriptive. Inferential statistics are special kinds of statistics that use sampling distributions to make inferences from a sample to a population of interest (hopefully that the sample represents). The inferences are more or less valid based on how well one meets the assumptions of a statistical method/model and how robust a statistical method is with respect to violations of an assumption.