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.
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 CUL 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. Books
2. Books
2.1 David J. Gibson, “Methods in Comparative Plant Population Ecology”, 2nd Edition, Oxford University Press,
Oxford, UK, 16 Oct 2014, p. 180, ISBN 978-0-19-967147-2.
Refers to the extended tables with critical CUL values.
2.2 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.
3. Software
2.3 Brani Vidacovic, “Engineering Biostatistics: An Introduction Using MATLAB and WinBUGS”, John Wiley, Hoboken, New Jersey, December 2017, p. 511, ISBN 978-1-11-916896-6.
"More precise generalization of Cochran's C test."
"More precise generalization of Cochran's C test."
3. Software
3.1 Microsoft Excel statistical add-in by XLSTAT
Tutorial on “Cochran C test for outlying variances”, 5 Feb 2016.
3.2 FORTRAN routine from NIST
Alan Heckert, “Cochran Variance Outlier Test”, NIST
National Institute of Standards and Technology, Gaithersburg, Maryland, 5 May
2015.
3.3 MATLAB Routines from Autonomous University of
Baja California
3.3.1 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.
3.3.1 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.
3.3.2 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.
3.3.3 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.
3.4 R
Language Routines from University of Leuven: CUL is calculated according
to Eq. 28.
Antoine Stevens,
Package Prospectr, “Cochran C Test”, 20 Feb 2015.
4. Other publications
2011
2011
4.1 Tomislav
Cigula, Quality Analysis of the Nonprinting Areas on Printing Plates, PhD Thesis, Faculty of Graphic Arts, University of Zagreb, 2011, pp. 119, 121, 146
(in Croatian).
2014
2014
4.2 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.
4.3 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.
2015
4.3 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.
2015
4.4 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.
4.5 Julián Rodríguez López and Jesús de la Caridad Mesa Oramas, Manual de Estadística Ensayos de Aptitud, Laboratorio de Química Computacional y Teórica, Universidad de la Habana, 18 Feb 2015, pp. 37-38 and 70 (in Spanish).
2016
4.5 Julián Rodríguez López and Jesús de la Caridad Mesa Oramas, Manual de Estadística Ensayos de Aptitud, Laboratorio de Química Computacional y Teórica, Universidad de la Habana, 18 Feb 2015, pp. 37-38 and 70 (in Spanish).
2016
4.7 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.
4.8 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.
4.9 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.
4.10 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 Nov 2016, p.30 (in Portuguese).
2017
4.8 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.
4.9 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.
4.10 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 Nov 2016, p.30 (in Portuguese).
2017
4.11 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 28(4), 15 Feb 2017, 044007. doi: 10.1088/1361-6501/aa542f.
4.12 T.Y. Hui and Gray A. Williams, Experience matters: context-dependent decisions explain spatial foraging patterns in the deposit-feeding crab Scopimera intermedia, Proc. R. Soc. B: Biological Sciences 284 (1861): 2017442, 30 Aug 2017. doi.org/10.1098/rspb.2017.1442.
4.13 Tin Yan Hui, Behavioural Ecology of the Sand-Bubbler Crab Scopimera intermedia Balss, 1934 in Hong Kong, PhD thesis, Faculty of Science, University of Hong Kong, Aug 2017.
4.14 Shi Chunqi, Rivers and lakes of a singular value - the classic statistical view, http://www.jianshu.com/p/
4.15 Isaac Li, Yi-Hsin Chen, Yan Wang, Patricia Rodríguez de Gil, Thanh Pham, Diep Nguyen, Eun Sook Kim, and Jeffrey D. Kromrey, JMASM47: ANOVA_HOV: A SAS Macro for Testing Homogeneity of Variance in One-FactorANOVA Models (SAS), Journal of Modern Applied Statistical Methods16(2), Dec 2017, pp. 506-539. doi: 10.22237/jmasm/1509496080.
2018
4.12 T.Y. Hui and Gray A. Williams, Experience matters: context-dependent decisions explain spatial foraging patterns in the deposit-feeding crab Scopimera intermedia, Proc. R. Soc. B: Biological Sciences 284 (1861): 2017442, 30 Aug 2017. doi.org/10.1098/rspb.2017.1442.
4.13 Tin Yan Hui, Behavioural Ecology of the Sand-Bubbler Crab Scopimera intermedia Balss, 1934 in Hong Kong, PhD thesis, Faculty of Science, University of Hong Kong, Aug 2017.
4.14 Shi Chunqi, Rivers and lakes of a singular value - the classic statistical view, http://www.jianshu.com/p/
4.15 Isaac Li, Yi-Hsin Chen, Yan Wang, Patricia Rodríguez de Gil, Thanh Pham, Diep Nguyen, Eun Sook Kim, and Jeffrey D. Kromrey, JMASM47: ANOVA_HOV: A SAS Macro for Testing Homogeneity of Variance in One-FactorANOVA Models (SAS), Journal of Modern Applied Statistical Methods16(2), Dec 2017, pp. 506-539. doi: 10.22237/jmasm/1509496080.
2018
4.16 Mafalda Daniela Leite Teixeira, Controlo Químico da Qualidade deTintas, Master Thesis, Department of Chemistry, University of Coimbra,
September 2018 (in Portuguese).
2019
4.17 Alice Jayne
Sitch, Modelling
Optimal Use of Tests for Monitoring Disease Progression and Recurrence, PhD Thesis, Institute of Applied Health Research College of Medical
and Dental Sciences University of Birmingham, January 2019, pp. 94, 109, 149,
153.
2020
4.19 Mável
Ximena Machacado Rojas, Cuantificación
del p-cresol sérico y su relación con la masa muscular en pacientes en
hemodiálisis, Master Thesis, Universidad Nacional
de Colombia Facultad de Medicina, Departamento de Ciencias Fisiológicas,
Maestría en Fisiología Bogotá, 2020, p. 67 (in Spanish).
4.20 Alexander
Puentes Parra, Desarrollo
de un complejo de inclusión molecular de fármacos a partir de almidón nativo, Master Thesis, Universidad Nacional de Colombia, Facultad de Ciencias, Área Curricular de
Farmacia, Bogotá D.C., Colombia, Agosto de 2020, p. 108 (in Spanish).
4.21 Hisayuki
Takahashi and Masayasu Tanaka, Statistical Analysis for Comparison of the
Results Obtained by Capillary Columns and Packed Columns in the Determination
of Water Yield in Smoke Condensates Analyzed in Cigarettes for the 24th
Asia Collaborative Study, Contributions to Tobacco Research 29(2), Sep 2020,
pp. 97-118. doi: 10.2478/cttr-2020-0010.
2021
4.22 Lasse
Tarvainen, Maria Wittemann, Myriam Mujawamariya, Aloysie Manishimwe, Etienne
Zibera, Bonaventure Ntirugulirwa, Claire Ract, Olivier J. L. Manzi, Mats X.
Andersson, Cornelia Spetea, Donat Nsabimana, Göran Wallin and Johan Uddling, Handling
the heat - photosynthetic thermal stress in tropical trees, New Phytologist, 16 October 2021. doi: 10.1111/nph.17809 .
4.23 Lesego E. Moloko, Pavel M. Bokov, and Konstadin N. Ivanov,
Estimation
of the Axial Neutron Flux Profiles in the SAFARI-1 Core Using Artificial Neural
Networks, The International Conference on Mathematics and Computational
Methods Applied to Nuclear Science and
Engineering, Raleigh, North Carolina,
October 3–7, 2021.
2022
4.24 Benjamin
S. Miller, Michael
R. Thomas, Matthew Banner, Jeongyun Kim, Yiyun Chen,Qingshan Wei, Derek
K.Tsen, Zoltán
S.Göröcs, Aydogan Ozcan, Molly
M.Stevens and Rachel
A. McKendry, Sub-picomolar
lateral flow antigen detection with two-wavelength imaging of composite nanoparticles, Biosensors and Bioelectronics 207, 1 July 2022, 114133. doi: 10.1016/j.bios.2022.114133.
2023
4.25 S.
Raissi and F. Fakhfakh, Analytical Validation of Smartphone
Spectroscopic Technic Used in an Educational Kinetic Study, International
Journal of Analytical Chemistry, 20 April 2023, Article ID 3729633, https://doi.org/10.1155/2023/3729633,
pp. 1-8.
4.26 Yuhang Zhou, Yiyang Zhu and Weng Kee Wong, Statistical tests for homogeneity of variance for clinical trials and recommendations, Contemporary Clinical Trials Communications 33, June 2023. https://doi.org/10.1016/j.conctc.2023.101119.
4.26 Lucas
V.L. Martoni, Nathalia O. Gomes, Osvaldo
N. Oliveira Jr., Sergio A.S. Machado, Paulo A. Raymundo-Pereira, Low-cost
photoelectrochemical sensor sensitized with carbon spherical shells and
cobalt(II) phthalocyanine for fast acetaminophen determination, Microchemical Journal, available
online 10 December 2023, DOI: 10.1016/j.microc.2023.109780.
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