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Pivot Property in Weighted Least Regression Based on Single Repeated Observations

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  • Yuancheng Si

    (University of Manchester)

Abstract

How genuine repeated observations influence the result of linear regression could be an interesting topic in regression analysis. In this paper, we discuss the pivot behavior in weighted linear regression based on certain data pattern and give an explanation about the pivot behavior.

Suggested Citation

  • Yuancheng Si, 2020. "Pivot Property in Weighted Least Regression Based on Single Repeated Observations," Annals of Data Science, Springer, vol. 7(2), pages 291-306, June.
    • Handle: RePEc:spr:aodasc:v:7:y:2020:i:2:d:10.1007_s40745-020-00264-2
    DOI: 10.1007/s40745-020-00264-2
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    References listed on IDEAS

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    1. Zhijiang Wan & Hao Zhang & Jiajin Huang & Haiyan Zhou & Jie Yang & Ning Zhong, 2019. "Single-Channel EEG-Based Machine Learning Method for Prescreening Major Depressive Disorder," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(05), pages 1579-1603, September.
    2. W. M. Tang & K. F. C. Yiu & H. Wong, 2020. "Subset Selection Using Frequency Decomposition with Applications," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 195-220, March.
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    Cited by:

    1. Fábio Prataviera & Aline Martineli Batista & Edwin M. M. Ortega & Gauss M. Cordeiro & Bruno Montoani Silva, 2023. "The Logit Exponentiated Power Exponential Regression with Applications," Annals of Data Science, Springer, vol. 10(3), pages 713-735, June.

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