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Tests of Homoscedasticity, Normality, and Missing Completely at Random for Incomplete Multivariate Data

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  • Mortaza Jamshidian
  • Siavash Jalal

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Suggested Citation

  • Mortaza Jamshidian & Siavash Jalal, 2010. "Tests of Homoscedasticity, Normality, and Missing Completely at Random for Incomplete Multivariate Data," Psychometrika, Springer;The Psychometric Society, vol. 75(4), pages 649-674, December.
    • Handle: RePEc:spr:psycho:v:75:y:2010:i:4:p:649-674
    DOI: 10.1007/s11336-010-9175-3
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    References listed on IDEAS

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    1. Mortaza Jamshidian & Peter M. Bentler, 1999. "ML Estimation of Mean and Covariance Structures with Missing Data Using Complete Data Routines," Journal of Educational and Behavioral Statistics, , vol. 24(1), pages 21-24, March.
    2. Kevin Kim & Peter Bentler, 2002. "Tests of homogeneity of means and covariance matrices for multivariate incomplete data," Psychometrika, Springer;The Psychometric Society, vol. 67(4), pages 609-623, December.
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    Citations

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    Cited by:

    1. Jun Li & Yao Yu, 2015. "A Nonparametric Test of Missing Completely at Random for Incomplete Multivariate Data," Psychometrika, Springer;The Psychometric Society, vol. 80(3), pages 707-726, September.
    2. Ali, Saif & Arora, Gaurav, 2021. "Well-level Missingness Mechanisms in Administrative Groundwater Monitoring Data for Uttar Pradesh (UP), India, 2009-2018," 2021 Annual Meeting, August 1-3, Austin, Texas 314038, Agricultural and Applied Economics Association.
    3. Védaste Habamenshi & Dr. Thomas K Tarus, 2022. "Financial managers’ perceptions on firm characteristics and internet financial reporting disclosure among selected financial institutions in Rwanda," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(8), pages 716-724, August.
    4. Wei Liu & Zhiwei Zhang & Lei Nie & Guoxing Soon, 2017. "A Case Study in Personalized Medicine: Rilpivirine Versus Efavirenz for Treatment-Naive HIV Patients," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(520), pages 1381-1392, October.
    5. Raquel Lourenço Carvalhal Monteiro & Valdecy Pereira & Helder Gomes Costa, 2020. "Dependence Analysis Between Childhood Social Indicators and Human Development Index Through Canonical Correlation Analysis," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(1), pages 337-362, February.
    6. Hairu Wang & Zhiping Lu & Yukun Liu, 2023. "Score test for missing at random or not under logistic missingness models," Biometrics, The International Biometric Society, vol. 79(2), pages 1268-1279, June.
    7. Frahm, Gabriel & Nordhausen, Klaus & Oja, Hannu, 2020. "M-estimation with incomplete and dependent multivariate data," Journal of Multivariate Analysis, Elsevier, vol. 176(C).
    8. Forthmann, Boris & Jendryczko, David & Scharfen, Jana & Kleinkorres, Ruben & Benedek, Mathias & Holling, Heinz, 2019. "Creative ideation, broad retrieval ability, and processing speed: A confirmatory study of nested cognitive abilities," Intelligence, Elsevier, vol. 75(C), pages 59-72.
    9. Chassan, Malika & Concordet, Didier, 2023. "How to test the missing data mechanism in a hidden Markov model," Computational Statistics & Data Analysis, Elsevier, vol. 182(C).
    10. Boris Forthmann & Mark A. Runco, 2020. "An Empirical Test of the Inter-Relationships between Various Bibliometric Creative Scholarship Indicators," Publications, MDPI, vol. 8(2), pages 1-16, June.
    11. Serguei Rouzinov & André Berchtold, 2022. "Regression-Based Approach to Test Missing Data Mechanisms," Data, MDPI, vol. 7(2), pages 1-28, January.
    12. Jamshidian, Mortaza & Jalal, Siavash & Jansen, Camden, 2014. "MissMech: An R Package for Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random (MCAR)," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 56(i06).
    13. Ke-Hai Yuan & Mortaza Jamshidian & Yutaka Kano, 2018. "Missing Data Mechanisms and Homogeneity of Means and Variances–Covariances," Psychometrika, Springer;The Psychometric Society, vol. 83(2), pages 425-442, June.

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