L-estimator — In robust statistics, an L estimator is an estimator which equals a linear combination of order statistics of the measurements.Consider, for example, the median. Given n measurements x 1, ldots, x n, where n is odd, the median equals x… … Wikipedia
Winsorising — or Winsorization is the transformation of statistics by transforming extreme values in the statistical data, and is named for the engineer turned biostatistician Charles P. Winsor (1895 ndash;1951).The distribution of many statistics can be… … Wikipedia
List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… … Wikipedia
Outline of statistics — The following outline is provided as an overview and guide to the variety of topics included within the subject of statistics: Statistics pertains to the collection, analysis, interpretation, and presentation of data. It is applicable to a wide… … Wikipedia
Core inflation — is a measure of inflation which excludes certain items that face volatile price movements, notably food and energy. The preferred measure by the Federal Reserve of core inflation in the United States is the core Personal consumption expenditures… … Wikipedia
List of mathematics articles (T) — NOTOC T T duality T group T group (mathematics) T integration T norm T norm fuzzy logics T schema T square (fractal) T symmetry T table T theory T.C. Mits T1 space Table of bases Table of Clebsch Gordan coefficients Table of divisors Table of Lie … Wikipedia
Robust statistics — provides an alternative approach to classical statistical methods. The motivation is to produce estimators that are not unduly affected by small departures from model assumptions. Contents 1 Introduction 2 Examples of robust and non robust… … Wikipedia
Truncated mean — A truncated mean or trimmed mean is a statistical measure of central tendency, much like the mean and median. It involves the calculation of the mean after discarding given parts of a probability distribution or sample at the high and low end,… … Wikipedia
Absolute deviation — In statistics, the absolute deviation of an element of a data set is the absolute difference between that element and a given point. Typically the point from which the deviation is measured is a measure of central tendency, most often the median… … Wikipedia
Errors-in-variables models — In statistics and econometrics, errors in variables models or measurement errors models are regression models that account for measurement errors in the independent variables. In contrast, standard regression models assume that those regressors… … Wikipedia