Citations

The resources below cite the extended Cochran’s C test (“G test”).  No responsibility is assumed for the correct description and implementation by the originators.

The presented overview is likely to be incomplete.  Feel free to contact me on missing material.  You may leave me a comment or mail me at rtlam@zeelandnet.nl.

1. Wikipedia, “Cochran’s C test”

    Reproduces Eq. 28 on critical values C_UL for Cochran’s C test (one-sided upper limit test, balanced           design). Refers to the generalization of the C test to unbalanced designs, one-sided lower limit tests         and two-sided tests.

2. David J. Gibson, “Methods in Comparative Plant Population Ecology”, 2^nd Edition, Oxford University         Press, Oxford, UK, 16 Oct 2014, p. 180, ISBN 978-0-19-967147-2. 

    Refers to the extended tables with critical C_UL values.

3. Alfred Bartolucci, Karan Singh and Sejong Bae, “Introduction to Statistical Analysis of Laboratory               Data”, John Wiley, Hoboken, New Jersey, January 2016, pp. 107-110, ISBN: 978-1-118-73686-9.

    Ample discussion of G test.

4. Microsoft Excel statistical add-in by XLSTAT

    Tutorial on  “Cochran C test for outlying variances”, 5 Feb 2016.

    Software at  https://www.xlstat.com/en/solutions/features/cochran-test-for-outliers

                        http://www.kovcomp.co.uk/xlstat/tools/cochran-test-for-outliers.html

5. FORTRAN routine from NIST

    Alan Heckert, “Cochran Variance Outlier Test”, NIST National Institute of Standards and                           Technology, Gaithersburg, Maryland, 5 May 2015.

6. MATLAB Routines from Autonomous University of Baja California
    6.1  Trujillo-Ortiz, R. Hernandez-Walls, B. Martin-Atienza and J.J. Gonzalez-Rejon, “GTLAMCDF:                    Probability values - 't Lam's G cumulative distribution function”, version 1.2, 18 Mar 2014.

    6.2  Trujillo-Ortiz, R. Hernandez-Walls, B. Martin-Atienza, J.J. Gonzalez-Rejon and M.E. Betancourt-                Aguirre, “GTLAMINV: Critical values - Inverse of 't Lam's G one- and two-sided cumulative                        distribution function”, version 1.2, 20 Mar 2014.

    6.3  Trujillo-Ortiz, R. Hernandez-Walls, B. Martin-Atienza, R.U.E. 't Lam,  E. Comas, J.J. Gonzalez-                Rejon and M.E. Betancourt-Aguirre, “GTLAMTEST:'t Lam's G test on summary data”, version 1.0,            22 Aug 2015.

7. R Language Routines from University of Leuven: C_UL is calculated according to Eq. 28.

    Antoine Stevens, Package Prospectr, “Cochran C Test”, 20 Feb 2015.

           http://www.inside-r.org/packages/cran/prospectr/docs/cochranTest

           http://finzi.psych.upenn.edu/library/prospectr/html/cochranTest.html

           https://github.com/antoinestevens/prospectr/blob/master/R/cochranTest.r

8. US Air Force: Luen Compton, 27 Apr 2015.

9.  Other publications citing the G test include:
     9.1  Tomislav Cigula, Quality Analysis of the Nonprinting Areas on Printing Plates, Doctoral Thesis,                 Faculty of Graphic Arts, University of Zagreb, 2011, pp. 119, 121, 146 (in Croatian).

     9.2  Aude Zimmermann, Harmonized eCall European Pilot, D4.3 Intermediate test results, version 1.3,             European Commission, Brussels, 15 May 2014, pp. 27, 180 and 205.     
     9.3  Diana M. P. Galassi, Paola Lombardo, Barbara Fiasca, Alessia Di Cioccio, Tiziana Di                               Lorenzo, Marco Petitta and Piero Di Carlo, Earthquakes trigger the loss of groundwater                           biodiversity, Scientific Reports 4, Article number: 6273 (2014), 3 Sep 2014,                                          Section Statistical Analysis, doi:10.1038/srep06273 .
      9.4  P.R. Ravi, S. Joseph, U.S.R. Avula and S. Anthireddy, A Simple Liquid Chromatographic Method              for the Determination of Tenofovir in Rat Plasma and its Application to Pharmacokinetic Studies,               Acta Chromatographica 27(4), 2015, pp. 597-612.
      9.5  F. Braga and M. Panteghini, Generation of data on within-subject biological variation in laboratory                medicine: An update, Critical Reviews in Clinical Laboratory Sciences 53(3), 14 Mar                                  2016, pp. 1-13, doi:10.3109/10408363.2016.1150252.
     9.6  Yan Wang, Patricia Rodríguez de Gil, Yi-Hsin Chen, Jeffrey D. Kromrey, Eun Sook Kim,                           Thanh Pham, Diep Nguyen and Jeanine L. Romano; Comparing the Performance of Approaches                for Testing the Homogeneity of Variance Assumption in One-Factor ANOVA Models,                                Educational and Psychological Measurement, 27 Apr 2016, doi:10.1177/0013164416645162.
     9.7  Minal T. Harde, Sagar B. Wankhede and Praveen D. Chaudhari, A validated inherent                                 stability indicating HPTLC method for estimation of cyclobenzaprine hydrochloride intablets                       and use of MS–QTOF in characterization of its alkaline stressdegradation product, Bulletin of                     Faculty of Pharmacy, Cairo University, 20 May 2016, doi:10.1016/j.bfopcu.2016.04.002.

     9.8   Andreia Sofia Braz de Matos, Application of Control Charts in Arsene Analysis: Internal Quality                  Control of Blank Samples, Master Thesis, Faculty of Science and Technology, New University of              Lisbon, 29 November 2016, p.30 (in Portuguese).
     9.9  Giuseppe Maria D'Aucelli, Nicola Giaquinto, Sabino Mannatrizio and Mario Savino, A fully                         customizable MATLAB Framework for MSA based on ISO 5725 Standard, Measurement                           Science and  Technology, accepted for publication 16 December 2016, 
            doi: 10.1088/1361-6501/aa542f.