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Minitab, LLC also produces other software that can be used in conjunction with Minitab; [7] Minitab Connect helps businesses centralize and organize their data, Quality Trainer is an eLearning package that teaches statistical concepts, Minitab Workspace provides project planning and visualization tools, and Minitab Engage [8] is a tool for Idea and Innovation Management, as well as managing ...
JMP (pronounced "jump" [1]) is a suite of computer programs for statistical analysis and machine learning developed by JMP, a subsidiary of SAS Institute.The program was launched in 1989 to take advantage of the graphical user interface introduced by the Macintosh operating systems.
SPSS is a widely used program for statistical analysis in social science. [7] It is also used by market researchers, health researchers, survey companies, government, education researchers, industries, marketing organizations, data miners, [8] and others.
An example of using Fleiss' kappa may be the following: consider several psychiatrists who are asked to look at ten patients. For each patient, 14 psychiatrists give one of possibly five diagnoses. These are compiled into a matrix, and Fleiss' kappa can be computed from this matrix (see example below ) to show the degree of agreement between ...
Minitab; MINQUE – minimum norm quadratic unbiased estimation; Misleading graph; Missing completely at random; Missing data; Missing values – see Missing data; Mittag–Leffler distribution; Mixed logit; Misconceptions about the normal distribution; Misuse of statistics; Mixed data sampling; Mixed-design analysis of variance; Mixed model ...
Minitab: the option to report the statistic in the Session window can be found under the "Options" box under Regression and via the "Results" box under General Regression. Python : a durbin_watson function is included in the statsmodels package ( statsmodels.stats.stattools.durbin_watson ), but statistical tables for critical values are not ...
Latin hypercube sampling (LHS) is a statistical method for generating a near-random sample of parameter values from a multidimensional distribution.The sampling method is often used to construct computer experiments or for Monte Carlo integration.
In statistics, multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991. [1] It is a non-parametric regression technique and can be seen as an extension of linear models that automatically models nonlinearities and interactions between variables.