Rates of Convergence in CLT for Two Sample U-Statistics in Non iid Case and Multiphasic Growth Curve

Author(s):  
Ratan Dasgupta
1980 ◽  
Vol 21 (1) ◽  
pp. 1-5 ◽  
Author(s):  
N.C. Weber

Let Un be a U-statistic whose kernel depends on the size n of the sample under consideration. It is shown that when Un is suitably normalised its distribution function differs in Lp norm from the distribution function of a standard normal variable by a term of O(n-½).


Author(s):  
P. N. Kokic ◽  
N. C. Weber

AbstractLet UNn be a U-statistic based on a simple random sample of size n selected without replacement from a finite population of size N. Rates of convergence results in the strong law are obtained for UNn, which are similar to those known for classical U-statistics based on samples of independent and identically distributed (iid) random variables.


2022 ◽  
Vol 16 (1) ◽  
Author(s):  
Wei Peng ◽  
Tim Coleman ◽  
Lucas Mentch

2017 ◽  
Vol 31 (4) ◽  
pp. 447-456 ◽  
Author(s):  
Seema Mutti-Packer ◽  
David C. Hodgins ◽  
Nady el-Guebaly ◽  
David M. Casey ◽  
Shawn R. Currie ◽  
...  

2006 ◽  
Author(s):  
Rosalie J. Hall ◽  
Robert G. Lord ◽  
Hsien-Yao Swee ◽  
Barbara A. Ritter ◽  
David A. DuBois

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