S. Rao Jammalamadaka

4 ta ish

University of California, Santa Barbara, USA

1. On Edgeworth Expansions in Generalized Urn Models

   S. M. Mirakhmedov, S. Rao Jammalamadaka, Ibrahim B. Mohamed

   MaqolaTheoretical and Computational PhysicsJournal of Theoretical Probability20124 iqtibos

   ABIABI:AkademIndex/openalex/2012.article.000120

2. Higher-order expansions and efficiencies of tests based on spacings

   Sherzod M. Mirakhmedov, S. Rao Jammalamadaka

   MaqolaStatistical Distribution Estimation and ApplicationsJournal of nonparametric statistics20133 iqtibos

   ABIABI:AkademIndex/openalex/2026.other.500832

3. A class of asymptotically efficient estimators based on sample spacings

   Magnus Ekström, Sherzod M. Mirakhmedov, S. Rao Jammalamadaka

   MaqolaStatistical Methods and InferenceTest20191 iqtibos

   ABIABI:AkademIndex/openalex/2019.article.000380

4. Edgeworth expansions for two‐stage sampling with applications to stratified and cluster sampling

   Sherzod M. Mirakhmedov, S. Rao Jammalamadaka, Magnus Ekström

   MaqolaSurvey Sampling and Estimation TechniquesCanadian Journal of Statistics20150 iqtibos

   ABIABI:AkademIndex/openalex/2015.article.000249