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In Jour Smart Sensing And Intelligent Systems
Statistics In Transition

Article | 15-March-2019

ON A LESS CUMBERSOME METHOD OF ESTIMATION OF PARAMETERS OF LINDLEY DISTRIBUTION BY ORDER STATISTICS

M. R. Irshad, R. Maya

Statistics in Transition New Series, Volume 19 , ISSUE 4, 597–620

Article | 20-September-2020

A New Quasi Sujatha Distribution

Rama Shanker, Kamlesh Kumar Shukla

Statistics in Transition New Series, Volume 21 , ISSUE 3, 53–71

Research Article | 27-December-2017

Extended Kalman Filtering and Pathloss modeling for Shadow Power Parameter Estimation in Mobile Wireless Communications

In this paper accurate estimation of parameters, higher order state space prediction methods and Extended Kalman filter (EKF) for modeling shadow power in wireless mobile communications are developed. Path-loss parameter estimation models are compared and evaluated. Shadow power estimation methods in wireless cellular communications are very important for use in power control of mobile device and base station. The methods are validated and compared to existing methods, Kalman Filter (KF) with

George P. Pappas, Mohamed A. Zohdy

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 2, 898–924