Работы, цитирующие эту работу

Работ: 5

Работа: Central limit theorem and the bootstrap for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" display="inline" overflow="scroll"><mml:mi>U</mml:mi></mml:math>-statistics of strongly mixing data

1. Bootstrap for dependent Hilbert space-valued random variables with application to von Mises statistics

   Herold Dehling, Olimjon Sh. Sharipov, Martin Wendler

   СтатьяBayesian Methods and Mixture ModelsJournal of Multivariate Analysis2014Цитирований: 4

   ABIABI:AkademIndex/openalex/2014.article.000056

2. Bootstrap for the sample mean and for<i>U</i>-statistics of mixing and near-epoch dependent processes

   Olimjon Sh. Sharipov, Martin Wendler

   СтатьяFinancial Risk and Volatility ModelingJournal of nonparametric statistics2012Цитирований: 3

   ABIABI:AkademIndex/openalex/2026.other.187679

3. Bootstrap for the Sample Mean and for U-Statistics of Mixing and Near Epoch Dependent Processes

   Olimjon Sh. Sharipov, Martin Wendler

   ПрепринтFinancial Risk and Volatility ModelingarXiv (Cornell University)2009Цитирований: 0

   ABIABI:AkademIndex/openalex/2009.preprint.000008

4. Bootstrap for U-Statistics: A new approach

   Olimjon Sh. Sharipov, Johannes Tewes, Martin Wendler

   ПрепринтStatistical Methods and InferencearXiv (Cornell University)2015Цитирований: 0

   ABIABI:AkademIndex/openalex/2015.preprint.000015

5. Bootstrap for<i>U</i>-statistics: a new approach

   Sh. Olimjon Sharipov, Johannes Tewes, Martin Wendler

   СтатьяFinancial Risk and Volatility ModelingJournal of nonparametric statistics2016Цитирований: 0

   ABIABI:AkademIndex/openalex/2016.article.000399