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

    • Alaa Hassan Attia Hassan, "Multivalent Functions with Varying Arguments", International Center for Scientific Research and Studies, Irbid, Jordan, 2013 More
    • Alaa Hassan Attia Hassan, "Fekete-Szegö Problem for a New Class of Analytic Functions Defined by Using a Generalized Differential Operator", the Palacký University Olomouc, Czech Republic, 2013 More
    • Usama Abdelhamid Ibrahim, "I-Proximity Spaces", Jöklarannsóknafélag Íslands, 2013 More
    • Khaled Lotfy Mohamed Azab, "Effect of rotation for Two Temperature Generalized Thermoelasticity of Two-dimensional under thermal shock problem", Hindawi Publishing Corporation, 2013 More
    • Khaled Lotfy Mohamed Azab, "A Mode-I crack problem for two-dimensional problem of a fiber-reinforced thermoelastic with normal mode analysis", ISSN 1992-1950 © 2013 Academic Journals, 2013 More
    Tweet