U-STATISTIC

作品数:14被引量:12H指数:2
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相关领域:理学更多>>
相关作者:张新生更多>>
相关机构:复旦大学更多>>
相关期刊:《Journal of Earth Science》《Acta Mathematica Sinica,English Series》《Science China Mathematics》《Statistical Theory and Related Fields》更多>>
相关基金:国家自然科学基金广东省自然科学基金北京市自然科学基金更多>>
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Local Dependence Test Between Random Vectors Based on the Robust Conditional Spearman's ρ and Kendall's τ
《Acta Mathematicae Applicatae Sinica》2023年第3期491-510,共20页Ling-yue ZHANG Heng-jian CUI 
the State Key Program of the National Natural Science Foundation of China(No:12031016);the National Natural Science Foundation of China(Nos:11971324,11901406,12201435);the Beijing Postdoctoral Research Foundation(No:2022-ZZ-084);the Interdisciplinary Construction of Bioinformatics and Statistics;the Academy for Multidisciplinary Studies,Capital Normal University。
This paper introduces two local conditional dependence matrices based on Spearman'sρand Kendall'sτgiven the condition that the underlying random variables belong to the intervals determined by their quantiles.The ro...
关键词:local dependence influence function rank correlation U-STATISTIC 
A Two Sample Test based on U-statistic for Functional Data
《Acta Mathematica Sinica,English Series》2023年第3期533-552,共20页Wen Juan HU Liang WANG Bao Xue ZHANG Guo Chang WANG 
Supported by the National Natural Science Foundation of China(Grant Nos.11671268 and 12271370);the Guangdong Basic and Applied Basic Research Foundation(Grant No.2020A1515010821);the Fundamental Research Funds for the Central Universities(Grant No.12619624);Supported by the Research Start-up Fund for new young Teachers of Capital University of Economics and Business(Grant No.00592254417068)。
We propose a two-sample test for the mean functions of functional data when the number of bases is much lager than the sample size.The novel test is based on U-statistics which avoids estimating the covariance operato...
关键词:Mean test functional data U-STATISTICS two sample 
Testing High-Dimensional Nonparametric Behrens-Fisher Problem
《Journal of Systems Science & Complexity》2022年第3期1098-1115,共18页MENG Zhen LI Na YUAN Ao 
supported by Beijing Natural Science Foundation under Grant No.Z180006;the National Nature Science Foundation of China under Grant No.11722113。
For high-dimensional nonparametric Behrens-Fisher problem in which the data dimension is larger than the sample size,the authors propose two test statistics in which one is U-statistic Rankbased Test(URT)and another i...
关键词:Cauchy combination test nonparametric Behrens-Fisher problem rank-based test U-STATISTIC 
High-dimensional Tests for Mean Vector: Approaches without Estimating the Mean Vector Directly被引量:1
《Acta Mathematicae Applicatae Sinica》2022年第1期78-86,共9页Bo CHEN Hai-meng WANG 
Several tests for multivariate mean vector have been proposed in the recent literature.Generally,these tests are directly concerned with the mean vector of a high-dimensional distribution.The paper presents two new te...
关键词:asymptotic distribution high-dimensional data permutation test U-STATISTIC testing mean vector 
Pairwise distance-based heteroscedasticity test for regressions被引量:3
《Science China Mathematics》2020年第12期2553-2572,共20页Xu Guo Xuejun Jiang Shumei Zhang Lixing Zhu 
supported by Shenzhen Sci-Tech Fund(Grant No.JCYJ 20170307110329106);the Natural Science Foundation of Guangdong Province of China(Grant No.2016A030313856);National Natural Science Foundation of China(Grant Nos.11701034,11601227,11871263 and 11671042);the University Grants Council of Hong Kong。
In this study,we propose nonparametric testing for heteroscedasticity in nonlinear regression models based on pairwise distances between points in a sample.The test statistic can be formulated such that Ustatistic the...
关键词:dimensionality heteroscedasticity testing pairwise distance U-statistic theory 
The abstract of doctoral dissertation‘Some research on hypothesis testing and nonparametric variable screening problems for high dimensional data’
《Statistical Theory and Related Fields》2020年第2期228-229,共2页Yongshuai Chen Hengjian Cui 
In this thesis,we construct test statistic for association test and independence test in high dimension,respectively,and study the corresponding theoretical properties under some regularity conditions.Meanwhile,we pro...
关键词:High-dimensional test independence test distance correlation power enhancement association test U-STATISTIC nonparametric variable screening additive model 
A method for extracting anomaly map of Au and As using combination of U-statistic and Euclidean distance methods in Susanvar district,Iran
《Journal of Central South University》2017年第11期2693-2704,共12页Seyyed Saeed Ghannadpour Ardeshir Hezarkhani Mostafa Sharifzadeh 
Quantitative descriptions of geochemical patterns and providing geochemical anomaly map are important in applied geochemistry. Several statistical methodologies are presented in order to identify and separate geochemi...
关键词:mineral ANOMALY Susanvar DISTRICT U-STATISTIC METHOD Euclidean distance BIVARIATE ANOMALY MAP 
Self-normalization:Taming a wild population in a heavy-tailed world被引量:2
《Applied Mathematics(A Journal of Chinese Universities)》2017年第3期253-269,共17页SHAO Qi-man ZHOU Wen-xin 
Supported by Hong Kong RGC GRF 14302515
The past two decades have witnessed the active development of a rich probability theory of Studentized statistics or self-normalized processes, typified by Student’s t-statistic as introduced by W. S. Gosset more tha...
关键词:Berry-Esseen inequality Hotelling’s T 2-statistic large deviation moderate deviation SELF-NORMALIZATION Student’s t-statistic U-STATISTIC 
The Parkam Exploration District, Kerman, Iran: Geology, Alterations, and Delineation of Cu- and Mo-Mineralized Zones Using U-Spatial Statistic with Associated Software Development被引量:2
《Journal of Earth Science》2017年第2期283-294,共12页Seyyed Saeed Ghannadpour Ardeshir Hezarkhani Armin Sabet-Mobarhan-Talab 
The Parkam exploration district represents an area of approximately 4 km^2 located 50 km north of Shahr-E-Babak(Kerman Province, Iran), and has several traces of old copper mining and smelting activities. This area ...
关键词:Parkam U-statistic anomaly separation Cu Mo 
Tests for Two-Sample Location Problem Based on Subsample Quantiles
《Open Journal of Statistics》2014年第1期70-74,共5页Parameshwar V. Pandit Savitha Kumari S. B. Javali 
This paper presents a new class of test procedures for two-sample location problem based on subsample quantiles. The class includes Mann-Whitney test as a special case. The asymptotic normality of the class of tests p...
关键词:U-STATISTIC Class of TESTS Two-Sample Location Problem Asymptotic NORMALITY Pitman ARE Subsample QUANTILES 
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