Search results
Results from the WOW.Com Content Network
List of fields of application of statistics; List of graphical methods; List of statistical software. Comparison of statistical packages; List of graphing software; Comparison of Gaussian process software; List of stochastic processes topics; List of matrices used in statistics; Timeline of probability and statistics; List of unsolved problems ...
The list of statistics topics is being extended to include existing articles not previously listed and any new or unlisted statistics-related articles should be added. The list contains over 2750 items, including some redirects (18 February 2013: was 2642 on 17 October 2011; 2233 on 29 July 2009; 1731 on 31 December 2008; and 945 on 22 May 2008).
Wikipedia: WikiProject Statistics/Guidelines. 1 language. ... Download as PDF; Printable version; In other projects ...
Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."
In statistics, particularly in hypothesis testing, the Hotelling's T-squared distribution (T 2), proposed by Harold Hotelling, [1] is a multivariate probability distribution that is tightly related to the F-distribution and is most notable for arising as the distribution of a set of sample statistics that are natural generalizations of the statistics underlying the Student's t-distribution.
This is a list of probability topics.It overlaps with the (alphabetical) list of statistical topics.There are also the outline of probability and catalog of articles in probability theory.
Recent changes related to list of statistics topics is useful if you wish to keep an eye on recent changes. Recent changes to Talk pages tagged with {{WikiProject Statistics}} can be used to keep an eye on recent discussions; Popular pages for frequently accessed statistics pages.
Despite its simplicity, the trimean is a remarkably efficient estimator of population mean. More precisely, for a large data set (over 100 points [3]) from a symmetric population, the average of the 18th, 50th, and 82nd percentile is the most efficient 3-point L-estimator, with 88% efficiency. [4]