Research Output per year

## Fingerprint Dive into the research topics where Jin Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Kurtosis
Mathematics

Influence Function
Mathematics

Elliptically Symmetric Distributions
Mathematics

Halfspace Depth
Mathematics

Multivariate Median
Mathematics

Rank Regression
Mathematics

Multivariate Distribution
Mathematics

Trimmed Mean
Mathematics

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## Research Output 2005 2019

- 29 Citations
- 3 h-Index
- 8 Article

## Asymptotics of generalized depth-based spread processes and applications

Wang, J., Jan 1 2019, In : Journal of Multivariate Analysis. 169, p. 363-380 18 p.Research output: Contribution to journal › Article

Kurtosis

Multivariate Normality

Multivariate Data

Uniform convergence

Asymptotic distribution

1
Citation
(Scopus)

## A note on weak convergence of general halfspace depth trimmed means

Wang, J., Nov 1 2018, In : Statistics and Probability Letters. 142, p. 50-56 7 p.Research output: Contribution to journal › Article

Halfspace Depth

Trimmed Mean

Weak Convergence

Elliptically Symmetric Distributions

One Dimension

## Effect of kurtosis on efficiency of some multivariate medians

Wang, J. & Zhou, W., Jul 3 2015, In : Journal of Nonparametric Statistics. 27, 3, p. 331-348 18 p.Research output: Contribution to journal › Article

Multivariate Median

Kurtosis

B-series

Non-normal Distribution

Symmetric Distributions

3
Citations
(Scopus)

## A generalized multivariate kurtosis ordering and its applications

Wang, J. & Zhou, W., May 2012, In : Journal of Multivariate Analysis. 107, p. 169-180 12 p.Research output: Contribution to journal › Article

Kurtosis

Elliptically Symmetric Distributions

Affine Invariant

Equivalence

## On the weighted multivariate Wilcoxon rank regression estimate

Zhou, W. & Wang, J., Jun 2011, In : Statistics and Probability Letters. 81, 6, p. 704-713 10 p.Research output: Contribution to journal › Article

Rank Regression

Regression Estimate

Influence Function

Asymptotic Normality

Leverage Points