A reduced-bias weighted least squares estimation of the extreme value index

By E. Ocran, R. Minkah, Kwabena Doku-Amponsah

In this paper: In this paper, we propose a reduced-bias estimator of the EVI for Pareto-type tails (heavy-tailed) distributions. This is derived using the weighted least squares method. It is shown that the estimato...

Age-structured model with varied contact patterns and vaccination of COVID-19 in Liaoning Province, China

Tengxin He, Ning Lia

In this paper: Measuring age heterogeneity and the role of vaccines in the epidemic, an age-structured SVEIHR model is developed to simulate the propagation of the third outbreak of COVID-19 in Liaoning Province. Ba...

Estimation of three entropies for Dagum distribution using Type-II censored data

Marwa KH. Hassan

In this paper: The entropy of a random variable according to information theory is the average level of information. Our main scope is, the estimation of three different entropies of Dagum distribution using Type-II...

ShinySurv : A survival analysis and Shiny web application

Fatih Sağlam, Tuba Şanlı, Mehmet Ali Cengiz

In this paper: There are different programs available for survival analysis. However, these programs do not deal with survival problems with all censor types. The aim of this study is to form and explain “ShinySurv”...

Analysis of system of fractional partial differential equations using Laplace reduced differential transform with decomposition method

R. S. Teppawar, R. N. Ingle, R.A. MUNESHWAR

In this paper: In this article, we discuss how to solve systems of nonlinear fractional partial differential equations (NFPDEs) by combining the Laplace transform & the reduced differential transform method, often k...

ANOVA F-test and Kruskal-Wallis test performance comparison under varying distributions, variance heterogeneity, sample sizes, and noncentrality structures

Ryan R. Rahrig

In this paper: This study provides a direct comparison of the ANOVA F-test and the Kruskal-Wallis Test, a commonly used nonparametric alternative, in terms of type I error rate and power performance. The Monte Carlo...

The role of emotional regulations and risk appetite on investment decision

Jibu P. Joseph

In this paper: An in-depth knowledge of the financial market and the factors which influence the financial market as well as investors is indispensable for an informed investment decision making. Behavioral finance...

Hollywood’s enchantment and cursed underbelly

Xi Chen, Chih-Kai Chen

In this paper: In recent years, the global film industry has been greatly impacted by the COVID-19 pandemic. Unfortunately, the United States and India, the top two countries with the highest number of confirmed cas...

A max-autoregressive process based on Marshall-Olkin new Pareto-type distribution

M. Shirozhan, A. Saadati Nik, A. Asgharzadeh, Hassan S. Bakouch, M. Mohammadpour

In this paper: A new autoregressive process with Marshall-Olkin new Pareto-type (MOPT) marginal distribution is recommended in this paper. The distribution of the extremes with closure property, estimation via the m...

Process variance setting and quality investment selection for modified traditional inventory model

Chung-Ho Chen, Tzu-Hsien Lee

In this paper: This work discusses inventory model based on EMQ, process variance, and parameters of inspection plan in the first step. Then the optimal quality investment for reducing process variance is determined...

Using the Bayesian method to estimate the exponential survival regression model for stomach cancer patients in Iraq

Ahmed Salam Mezher, Wadhah S. Ibrahim

In this paper: In this paper, we will rely on a probability distribution, which is the exponential distribution, to build a parametric survival regression model, which is the exponential survival regression model, r...

Improving cryptocurrency price prediction through advanced LSTM-based deep learning techniques

Rihab Qasim Abdulkadhim, Hasanen S. Abdullah, Mustafa Jasim Hadi

In this paper: One In the evolving financial market landscape, cryptocurrencies have seen a notable surge in investments. This study delves into the advancements in cryptocurrency price predictions using LSTM (Long...

Comparative analysis of medical knowledge and inferential capabilities of modern LLMs

Muhammad Badruddin Khan, Abdul Khader Jilani Saudagar

In this paper: This paper presents an evaluation of four large language models (LLMs)—GPT-4o, Claude-3.5-Sonnet, Gemini-1.5-Pro, and Llama-3.1-405B-T based on word problems that were formulated to check LLMs level o...

Optimizing sustainable urban transformation : Harnessing IoT integration for smart cities

Priti Sharma, Deepak Sharma, Rahul V. Anand, Arun Kumar Uttam, Govind Murari Upadhyay

In this paper: The widespread adoption of IoT is revolutionizing global cities, striving to optimize the development of sustainable smart cities through IoT integration into urban infrastructure. Various research me...

Designing a structured approach for consistency verification in AI systems for heartbeat disorder-related conversations

Muhammad Badruddin Khan, Abdul Khader Jilani Saudagar

In this paper: Large language models (LLMs) have shown mind-boggling question-answering capabilities. Most of their responses make one feel that they understand and remember context and are able to retrieve relevant...

Journal of Statistics & Management Systems  Index of Volume 27 (2024)

In this paper: