EXTROPY AND STATISTICAL FEATURES OF DUAL GENERALIZED ORDER STATISTICS' CONCOMITANTS ARISING FROM THE SARMANOV FAMILY

Faculty Science Year: 2024
Type of Publication: ZU Hosted Pages: 1299-1320
Authors:
Journal: Mathematica Slovaca De Gruyter Volume: 74
Keywords : EXTROPY , STATISTICAL FEATURES , DUAL GENERALIZED ORDER    
Abstract:
In this study, we disclose several statistical properties of concomitants of dual generalized order statistics (DGOSs) under a generic setting from the Sarmanov family of bivariate distributions. For this family, cross-moments and joint distributions of concomitants of DGOSs are explored. These results' implications for order statistics and record values are examined. Extropy and cumulative residual extropy (CRE), two well-known information measures, are also investigated. This study offers a few beautiful symmetrical relationships that these inaccuracy measurements satisfy. In addition, based on the concomitants of DGOSs, the issue of estimating the negative cumulative residual extropy (NCRE), empirical NCRE and NCE are investigated using the empirical technique. Lastly, a set of bivariate data from the real world is examined.
   
     
 
       

Author Related Publications

    Department Related Publications

    • Hany Samih Bayoumi Ibrahim, "Passive and active controllers for suppressing the torsional vibration of multiple-degree-of-freedom system", Sage, 2014 More
    • Hany Samih Bayoumi Ibrahim, "Active vibration control of a dynamical system via negative linear velocity feedback", Springer Netherlands, 2014 More
    • Ahmed Mohamed Khedr Souliman, "NONLINEAR TRAJECTORY DISCOVERY OF A MOVING TARGET BY WIRELESS SENSOR NETWORKS", Computing and Informatics,, 2010 More
    • Ahmed Mohamed Khedr Souliman, "SEP-CS: Effective Routing Protocol for Heterogeneous Wireless Sensor Networks", Ad Hoc & Sensor Wireless Networks, 2012 More
    • Ahmed Mohamed Khedr Souliman, "Minimum connected cover of a query region in heterogeneous wireless sensor networks", Information Sciences, 2013 More
    Tweet