Neutrosophic Laplace Distribution with Application in Financial Data Analysis

被引:0
|
作者
Thakur R. [1 ]
Malik S.C. [1 ]
Raj M. [1 ]
机构
[1] Department of Statistics, Maharishi Dayanand University, Haryana, Rohtak
关键词
Estimation; Financial Data Analysis; Indeterminacy; Neutrosophic Laplace Distribution; Simulation; Stock Returns;
D O I
10.5281/zenodo.8271366
中图分类号
学科分类号
摘要
The Laplace distribution, also known as the double exponential distribution, is a continuous probability distribution that is often used for modelling the data having heavy tails. In this paper, we proposed the Neutrosophic Laplace distribution which is the extension of the classical Laplace Distribution. We derived various statistical properties of the Neutrosophic Laplace Distribution such as mean, variance, skewness, rth moment, quartiles, and moment-generating function. The expressions for the estimation of the parameters are also derived using the maximum likelihood function of the distribution. A simulation study has been done to evaluate the performance of estimates. An application of the Neutrosophic Laplace Distribution is discussed to study the daily return of the NIFTY50 from Indian Stock Market. The analysis shows that the neutrosophic Laplace Model is acceptable, effective, and adequate for dealing with uncertainty in an unpredictable context. © (2023). All Rights Reserved.
引用
收藏
页码:224 / 233
页数:9
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