bayesian criterion
71Pareto efficiency — Pareto efficiency, or Pareto optimality, is an important concept in economics with broad applications in game theory, engineering and the social sciences. The term is named after Vilfredo Pareto, an Italian economist who used the concept in his… …
72Dempster-Shafer theory — The Dempster Shafer theory is a mathematical theory of evidenceShafer, Glenn; A Mathematical Theory of Evidence , Princeton University Press, 1976, ISBN 0 608 02508 9] based on belief functions and plausible reasoning , which is used to combine… …
73Null hypothesis — For the periodical, see Null Hypothesis: The Journal of Unlikely Science. The practice of science involves formulating and testing hypotheses, assertions that are capable of being proven false using a test of observed data. The null hypothesis… …
74Dempster–Shafer theory — Prof Arthur P. Dempster at the workshop on Belief Function Theory (Brest 1 april 2010). The Dempster–Shafer theory (DST) is a mathematical theory of evidence.[1] It allows …
75Determining the number of clusters in a data set — Determining the number of clusters in a data set, a quantity often labeled k as in the k means algorithm, is a frequent problem in data clustering, and is a distinct issue from the process of actually solving the clustering problem. For a certain …
76Control chart — One of the Seven Basic Tools of Quality First described by Walter A. Shewhart …
77List of important publications in statistics — Probability Théorie analytique des probabilités :Author: Pierre Simon Laplace:Publication data: 1820 (3rd ed.):Online version: ?:Description: Attacks the roots of least squares and interpolation techniques, bringing back techniques from a century …
78Solution concept — In game theory, a solution concept is a formal rule for predicting how the game will be played. These predictions are called solutions , and describe which strategies will be adopted by players, therefore predicting the result of the game. The… …
79Normality test — In statistics, normality tests are used to determine whether a data set is well modeled by a normal distribution or not, or to compute how likely an underlying random variable is to be normally distributed. More precisely, they are a form of… …
80Mauchly's sphericity test — is a statistical test used to validate repeated measures factor ANOVAs. The test was introduced by ENIAC co inventor John Mauchly in 1940.[1] Contents 1 What is sphericity? 2 Formulation of the test …
