A Skew Product Distribution with Applications | ||
| Computational Journal of Mathematical and Statistical Sciences | ||
| Volume 3, Issue 2, November 2024, Pages 432-453 PDF (529.2 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/cjmss.2024.283619.1049 | ||
| Authors | ||
| Mohammad Shakil* 1; Tassaddaq Hussain2; Zahid Ur Rehman3; Aneeqa Khadim4; Musaddiq Sirajo5; J. N. Singh6; Mohammad Ahsanullah7; B. M. G. Kibria8 | ||
| 1Professor of Mathematics / Statistics, DEPARTMENT OF LIBERAL ARTS AND SCIENCES - Mathematics / Statistics, Miami Dade College, Hialeah Campus, 1780 West 49th Street, Fl. 33024, USA | ||
| 2Mirpur University of Science and Technology (MUST), 10250 Mirpur (AJK), Pakistan. | ||
| 3Department of Statistics, Mirpur University of Science and Technology (MUST), Mirpur, Pakistan | ||
| 4Department of Mathematics, Mirpur University of Science & Technology, Mirpur, Pakistan | ||
| 5Dept. of Stat., Ahmadu Bello University, Zaria, Nigeria | ||
| 6Barry University, Dept. of Math & Comp. Sc., Miami Shores, FL, USA | ||
| 7Department of Management Sciences, Professor Emeritus, Rider University, NJ, USA | ||
| 8Professor, Department of Mathematics and Statistics, Florida International University, FIU, Miami, USA | ||
| Abstract | ||
| The Rayleigh and error function distributions arise in many problems of applied and physical sciences. In this paper, we derive a skew type product Rayleigh-Error Function distribution by taking the product of the probability density function of Rayleigh distribution and the cumulative distribution function of the error function distribution. Several characteristics of the new distribution are presented by providing its distributional properties, namely, the expression for its probability density function, cumulative distribution function, hazard function, moments, and Shannon entropy. To discuss the behavior of the proposed distribution, the corresponding graphs of its probability density function, cumulative distribution function, and hazard function are provided. The percentage points are also computed. Some characterizations, estimation of parameters, and simulation are presented. Also, d two real-life environmental data applications are provided. We observed that our proposed skew type product Rayleigh-Error Function distribution fits reasonably well to the datasets considered. We believe that our proposed skew product model would be useful to the practitioners in various research fields of applied, physical, environmental and other sciences. | ||
| Keywords | ||
| Error Function; Product Distribution; Rayleigh Distribution | ||
|
Statistics Article View: 245 PDF Download: 225 |
||
