FISHER INFORMATION IN ORDER STATISTICS AND THEIR CONCOMITANTS FOR CAMBANIS BIVARIATE DISTRIBUTION

Faculty Science Year: 2024
Type of Publication: ZU Hosted Pages:
Authors:
Islam Abdallah Heusseiny Metwally
Journal: Mathematica Slovaca DEGRUYTER Volume:
Keywords : FISHER INFORMATION , ORDER STATISTICS , THEIR CONCOMITANTS , CAMBANIS    
Abstract:
The Fisher information matrix (FIM) relevant to order statistics (OSs) and their con- comitants of the shape-parameters vector of the Cambanis bivariate distribution is investigated. Singly or multiply censored bivariate samples drawn from the Cambanis bivariate distribution are used to obtain the Fisher information (FI). In addition, the FI contained in the scale and shape parameters of generalized exponential distributions in the concomitants of OSs is obtained. The cumulative residual FI in the concomitant of OSs based on the Cambanis family is theoretically and numerically studied. Finally, a bivariate real-world data set has been analyzed for illustrative purposes, and the performance of the proposed method is quite satisfactory
    
     
 
       

Author Related Publications

  • Islam Abdallah Heusseiny Metwally, "Information measures in records and their concomitants arising from Sarmanov family of bivariate distributions", Elsevier, 2022 More
  • Islam Abdallah Heusseiny Metwally, "Concomitants of Order Statistics and Record Values from Generalization of FGM Bivariate-Generalized Exponential Distribution", ATLANTIS PRESS, 2019 More
  • Islam Abdallah Heusseiny Metwally, "CONCOMITANTS OF ORDER STATISTICS AND RECORD VALUES FROM ITERATED FGM TYPE BIVARIATE-GENERALIZED EXPONENTIAL DIS- TRIBUTION", INSTITUTO NACIONAL DE ESTATISTICA, 2019 More
  • Islam Abdallah Heusseiny Metwally, "Sarmanov Family of Bivariate Distributions: Statistical Properties—Concomitants of Order Statistics—Information Measures", Springer Nature, 2022 More
  • Islam Abdallah Heusseiny Metwally, "Sarmanov bivariate distribution: dependence structure—Fisher information in order statistics and their concomitants", Springer Nature, 2022 More

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