Control charts for the log-logistic distribution RRL Kantam, AV Rao, GS Rao Walter de Gruyter GmbH & Co. KG 21 (1), 77-86, 2006 | 14 | 2006 |
Optimum linear unbiased estimation of the scale parameter by absolute values of order statistics in the double exponential and the double Weibull distributions A Vasudeva Rao, AV Dattatreya Rao, VL Narasimham Communications in Statistics-Simulation and Computation 20 (4), 1139-1158, 1991 | 11 | 1991 |
Linear estimation of location and scale parameters in the generalized gamma distribution A Vasudeva Rao, RRL Kantam, VL Narasimham Communications in Statistics-Theory and Methods 20 (12), 3823-3848, 1991 | 11 | 1991 |
Linear approximate ML estimation in scaled type I generalized logistic distribution based on type-II censored samples A Vasudeva Rao, P Sitaramacharyulu, M Chenchu Ramaiah Communications in Statistics-Simulation and Computation 46 (3), 1682-1702, 2017 | 5 | 2017 |
Designing of multiple dependent state repetitive sampling plan for type-II generalized half logistic distribution GS Rao, SD Jilani, AV Rao International Journal of System Assurance Engineering and Management 12 …, 2021 | 3 | 2021 |
Asymptotically optimal grouping for maximum likelihood estimation of Weibull parameters A Vasudeva Rao, AV Dattatreya Rao, VL Narasimham Communications in Statistics-Simulation and Computation 23 (4), 1077-1096, 1994 | 3 | 1994 |
A new acceptance sampling plans based on percentiles for Type II generalized half-logistic distribution GS Rao, SD Jilani, AV Rao, SB Prakash Journal of Computer and Mathematical Sciences 10 (6), 1354-1363, 2019 | 2 | 2019 |
Comparison of Least Square Estimators with Rank Regression Estimators of Weibull Distribution-A Simulation Study CR Mohan, AV Rao, GVSR Anjaneyulu Journal of Statistics 20 (1), 2013 | 2 | 2013 |
Modern accep-tance sampling plans from truncated life tests based on percentiles for expo-nentiated Weibull distribution JN Gupta, GS Rao, A Nagasailaja, AV Rao Int J Anal Exp Modal Anal 12 (4), 1760-1770, 2020 | 1 | 2020 |
GROUP ACCEPTANCE SAMPLING PLANS FOR LIFETIMES FOLLOWING A TYPE II GENERALIZED HALF LOGISTIC DISTRIBUTION. GS Rao, S Jilani, AV Rao, B Prakash International Journal of Agricultural & Statistical Sciences 15 (2), 2019 | 1 | 2019 |
Approximate ML estimation in type I generalized logistic distributon under type II censoring A Vasudeva Rao, K Renuka Journal of Global Research in Mathematical Archives 5, 14-24, 2018 | 1 | 2018 |
Designing of multiple dependent state sampling plan for Type-II generalized half logistic distribution S Jilani, GS Rao, AV Rao Research in Mathematics 11 (1), 2326706, 2024 | | 2024 |
Efficient Linear Approximate ML Estimation for the logistic distribution under type-II censoring AV Rao Journal of Emerging Technologies and Innovative Research (JETIR) 6 (4), 548-565, 2019 | | 2019 |
BEST LINEAR UNBIASED ESTIMATION IN SCALED GENERALIZED EXPONENTIAL DISTRIBUTION UNDER TYPE II CENSORING SB Prakash Journal of Global Research in Mathematical Archives (JGRMA) 5 (3), 07-49, 2018 | | 2018 |
Linear approximate ml estimation of scale parameter in type II generalized half-logistic distribution under type-II censoring SD Jilani, AV Rao, SB Prakash | | 2018 |
Best Linear Unbiased Estimation of Location and Scale Parameters in Generalized Expone ntial Distribution under Type- II Censoring BPSJS Vasudeva Rao A International Journal of Scientific and Research Publications 7 (8), 38-53, 2017 | | 2017 |
Unbiased Linear Approximate MLEs for the Location and Scale Parameters of the Half-Logistic Distribution Under Type-II Right Censoring AV Rao, GR Babu Journal of Chemical, Biological and Physical Sciences (JCBPS) 6 (2), 436, 2016 | | 2016 |
Linear estimation in scaled log-logistic distribution RRL Kantam, AV Rao, GS Rao INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES 4 (1), 11-22, 2008 | | 2008 |
Asymptotically Relative Efficiencies of the MLEs of the Weibull parameters in Grouped Type-I Right Censored Samples AVDRVLN A Vasudeva Rao JUSE Rep. Stat. 38, 15-26, 1991 | | 1991 |
A Comparative Analysis between Logistic and Elastic Net Regression Models for Prediction of Polycystic Ovarian Syndrome Characterized by Abundant Qualitative Features N Hanumanth, AV Rao, S Jilani | | |