Volume 19, Issue 2, June 2020, Pages 325 - 331
Multivariate Escher Transformed Laplace Distribution and Its Generalization
Authors
H Rimsha1, *, Dais George2
1Research and Development Center, Bharathiar University, Coimbatore; Project Fellow (UGC Major Project, Catholicate College) Pathanamthitta, Kerala, India
2Associate Professor, Catholicate College, Pathanamthitta, Kerala, India
*Corresponding author. Email: rimshahabeeb@gmail.com
Corresponding Author
H Rimsha
Received 18 November 2018, Accepted 11 December 2019, Available Online 29 July 2020.
- DOI
- 10.2991/jsta.d.200508.001How to use a DOI?
- Keywords
- Autoregressive processes; Generalized multivariate Esscher transformed Laplace distribution; Geometric multivariate Esscher transformed Laplace distribution
- Abstract
This paper we introduced a new distribution namely the multivariate Esscher transformed Laplace distribution. Various properties of the distribution are studied and the applications are discussed. Further we develop an autoregressive process with multivariate ETL marginal and study its properties. A Levy process based on this multivariate infinitely divisible distribution is known as Laplace motion, and its marginal distributions are multivariate generalized Esscher transformed Laplace distribution.
- Copyright
- © 2020 The Authors. Published by Atlantis Press B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - H Rimsha AU - Dais George PY - 2020 DA - 2020/07/29 TI - Multivariate Escher Transformed Laplace Distribution and Its Generalization JO - Journal of Statistical Theory and Applications SP - 325 EP - 331 VL - 19 IS - 2 SN - 2214-1766 UR - https://doi.org/10.2991/jsta.d.200508.001 DO - 10.2991/jsta.d.200508.001 ID - Rimsha2020 ER -