Search results
Results From The WOW.Com Content Network
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 ...
Mosaic plot showing cross-sectional distribution through time of different musical themes in the Guardian's list of "1000 songs to hear before you die".
An extension of the algorithm was developed by Leo Breiman [7] and Adele Cutler, [8] who registered [9] "Random Forests" as a trademark in 2006 (as of 2019, owned by Minitab, Inc.). [10] The extension combines Breiman's " bagging " idea and random selection of features, introduced first by Ho [ 1 ] and later independently by Amit and Geman [ 11 ...
In statistical quality control, the CUSUM (or cumulative sum control chart) is a sequential analysis technique developed by E. S. Page of the University of Cambridge.It is typically used for monitoring change detection. [1]
Unexplained variation – see Explained variation; Uniform distribution (continuous) Uniform distribution (discrete) Uniformly most powerful test; Unimodal distribution – redirects to Unimodal function (has some stats context) Unimodality; Unit (statistics) Unit of observation; Unit root; Unit root test; Unit-weighted regression; Unitized ...
Student's t-test assumes that the sample means being compared for two populations are normally distributed, and that the populations have equal variances.Welch's t-test is designed for unequal population variances, but the assumption of normality is maintained. [1]
Simple example of a Pareto chart using hypothetical data showing the relative frequency of reasons for arriving late at work. A Pareto chart is a type of chart that contains both bars and a line graph, where individual values are represented in descending order by bars, and the cumulative total is represented by the line.
Kernel density estimation of 100 normally distributed random numbers using different smoothing bandwidths.. In statistics, kernel density estimation (KDE) is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method to estimate the probability density function of a random variable based on kernels as weights.