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Yuli Liang

Personal Details

First Name:Yuli
Middle Name:
Last Name:Liang
Suffix:
RePEc Short-ID:pli1613
[This author has chosen not to make the email address public]

Affiliation

Institutionen för Nationalekonomi och Statistik
Ekonomihögskolan
Linnéuniversitet

Kalmar/Växjö, Sweden
https://lnu.se/mot-linneuniversitetet/Organisation/ekonomihogskolan/mot-ekonomihogskolan/nationalekonomi/
RePEc:edi:inlnuse (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Liang, Yuli & Hao, Chengcheng & Dai, Deliang, 2024. "Two-sample intraclass correlation coefficient tests for matrix-valued data," Working Papers in Economics and Statistics 6/2024, Linnaeus University, School of Business and Economics, Department of Economics and Statistics.

Articles

  1. Deliang Dai & Yuli Liang, 2021. "High-Dimensional Mahalanobis Distances of Complex Random Vectors," Mathematics, MDPI, vol. 9(16), pages 1-12, August.
  2. Yuli Liang & Dietrich Rosen & Tatjana Rosen, 2021. "On properties of Toeplitz-type covariance matrices in models with nested random effects," Statistical Papers, Springer, vol. 62(6), pages 2509-2528, December.
  3. Anna Szczepańska-Álvarez & Chengcheng Hao & Yuli Liang & Dietrich von Rosen, 2017. "Estimation equations for multivariate linear models with Kronecker structured covariance matrices," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(16), pages 7902-7915, August.
  4. Hao, Chengcheng & Liang, Yuli & Mathew, Thomas, 2016. "Testing variance parameters in models with a Kronecker product covariance structure," Statistics & Probability Letters, Elsevier, vol. 118(C), pages 182-189.
  5. Yuli Liang & Dietrich Rosen & Tatjana Rosen, 2015. "On estimation in hierarchical models with block circular covariance structures," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(4), pages 773-791, August.
  6. Hao, Chengcheng & Liang, Yuli & Roy, Anuradha, 2015. "Equivalency between vertices and centers-coupled-with-radii principal component analyses for interval data," Statistics & Probability Letters, Elsevier, vol. 106(C), pages 113-120.
    RePEc:gam:joitmc:v:8:y:2022:i:1:p:43-:d:751532 is not listed on IDEAS

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Yuli Liang & Dietrich Rosen & Tatjana Rosen, 2021. "On properties of Toeplitz-type covariance matrices in models with nested random effects," Statistical Papers, Springer, vol. 62(6), pages 2509-2528, December.

    Cited by:

    1. Liang, Yuli & Hao, Chengcheng & Dai, Deliang, 2024. "Two-sample intraclass correlation coefficient tests for matrix-valued data," Working Papers in Economics and Statistics 6/2024, Linnaeus University, School of Business and Economics, Department of Economics and Statistics.

  2. Hao, Chengcheng & Liang, Yuli & Mathew, Thomas, 2016. "Testing variance parameters in models with a Kronecker product covariance structure," Statistics & Probability Letters, Elsevier, vol. 118(C), pages 182-189.

    Cited by:

    1. Liang, Yuli & Hao, Chengcheng & Dai, Deliang, 2024. "Two-sample intraclass correlation coefficient tests for matrix-valued data," Working Papers in Economics and Statistics 6/2024, Linnaeus University, School of Business and Economics, Department of Economics and Statistics.

  3. Yuli Liang & Dietrich Rosen & Tatjana Rosen, 2015. "On estimation in hierarchical models with block circular covariance structures," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(4), pages 773-791, August.

    Cited by:

    1. Timothy Opheim & Anuradha Roy, 2021. "Linear models for multivariate repeated measures data with block exchangeable covariance structure," Computational Statistics, Springer, vol. 36(3), pages 1931-1963, September.
    2. Katarzyna Filipiak & Mateusz John & Daniel Klein, 2023. "Testing independence under a block compound symmetry covariance structure," Statistical Papers, Springer, vol. 64(2), pages 677-704, April.
    3. Hao, Chengcheng & Liang, Yuli & Mathew, Thomas, 2016. "Testing variance parameters in models with a Kronecker product covariance structure," Statistics & Probability Letters, Elsevier, vol. 118(C), pages 182-189.
    4. Yuli Liang & Dietrich Rosen & Tatjana Rosen, 2021. "On properties of Toeplitz-type covariance matrices in models with nested random effects," Statistical Papers, Springer, vol. 62(6), pages 2509-2528, December.

  4. Hao, Chengcheng & Liang, Yuli & Roy, Anuradha, 2015. "Equivalency between vertices and centers-coupled-with-radii principal component analyses for interval data," Statistics & Probability Letters, Elsevier, vol. 106(C), pages 113-120.

    Cited by:

    1. Roy, Anuradha & Zmyślony, Roman & Fonseca, Miguel & Leiva, Ricardo, 2016. "Optimal estimation for doubly multivariate data in blocked compound symmetric covariance structure," Journal of Multivariate Analysis, Elsevier, vol. 144(C), pages 81-90.
    2. Ricardo Leiva & Anuradha Roy, 2016. "Multi-level multivariate normal distribution with self-similar compound symmetry covariance matrix," Working Papers 0146mss, College of Business, University of Texas at San Antonio.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (1) 2024-04-22. Author is listed

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