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  2. DFFITS - Wikipedia

    en.wikipedia.org/wiki/DFFITS

    Previously when assessing a dataset before running a linear regression, the possibility of outliers would be assessed using histograms and scatterplots. Both methods of assessing data points were subjective and there was little way of knowing how much leverage each potential outlier had on the results data.

  3. Dixon's Q test - Wikipedia

    en.wikipedia.org/wiki/Dixon's_Q_test

    In statistics, Dixon's Q test, or simply the Q test, is used for identification and rejection of outliers.This assumes normal distribution and per Robert Dean and Wilfrid Dixon, and others, this test should be used sparingly and never more than once in a data set.

  4. Cochran's C test - Wikipedia

    en.wikipedia.org/wiki/Cochran's_C_test

    Cochran's test, [1] named after William G. Cochran, is a one-sided upper limit variance outlier statistical test .The C test is used to decide if a single estimate of a variance (or a standard deviation) is significantly larger than a group of variances (or standard deviations) with which the single estimate is supposed to be comparable.

  5. Studentized residual - Wikipedia

    en.wikipedia.org/wiki/Studentized_residual

    This is an important technique in the detection of outliers. It is among several named in honor of William Sealey Gosset , who wrote under the pseudonym "Student" (e.g., Student's distribution ). Dividing a statistic by a sample standard deviation is called studentizing , in analogy with standardizing and normalizing .

  6. Grubbs's test - Wikipedia

    en.wikipedia.org/wiki/Grubbs's_test

    However, multiple iterations change the probabilities of detection, and the test should not be used for sample sizes of six or fewer since it frequently tags most of the points as outliers. [3] Grubbs's test is defined for the following hypotheses: H 0: There are no outliers in the data set H a: There is exactly one outlier in the data set

  7. SPSS Modeler - Wikipedia

    en.wikipedia.org/wiki/SPSS_Modeler

    SPSS Clementine version 7.0: The client front-end runs under Windows. The server back-end Unix variants (SunOS, HP-UX, AIX), Linux, and Windows. The graphical user interface is written in Java. IBM SPSS Modeler 14.0 was the first release of Modeler by IBM.

  8. System Mechanic - AOL Help

    help.aol.com/products/system-mechanic

    Restore power, speed and stability with over 200 critical tests and 50 tools using the go-to solution for ultimate PC performance and trouble-free computing.

  9. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    The Unscrambler – free-to-try commercial multivariate analysis software for Windows; Unistat – general statistics package that can also work as Excel add-in; WarpPLS – statistics package used in structural equation modeling; Wolfram Language [6] – the computer language that evolved from the program Mathematica. It has similar ...