TARU PUBLICATIONS
 Journal of Statistics and Management Systems cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0014·ISSN (Print): 0972-0510

Monthly Journal: Publishes peer-reviewed aticles on theoretical and applied statistics and management systems, expoloring industrial statistics, actuarial and decision sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
submissions@tarupublications.com
Volume 28·Issue 4·May 2025·11 Articles

Volume 28, Issue 4

Articles

Open Access Research Article·pp. 611–628·Vol. 28, Issue 4May 2025

A flexible model with both bathtub and upside down bathtub shape hazard rates

Lesego Gabaitiri, Katlego Keganne, Boikanyo Makubate

Published Online: 01 Mar 2025DOI: 10.47974/JSMS-1201

In this paper: In this article a new distribution called the beta type two half logistic Topp-Leone-G (BTIIHLTL-G) Distribution is presented. The new distribution is generated via the Beta-G (BG) family of distribut...

AbstractReferencesFull Text PDF (2.0 MB)Views: 244Downloads: 117Citations: 0
Open Access Research Article·pp. 629–647·Vol. 28, Issue 4May 2025

An unbiased efficient estimator of population mean using an auxiliary attribute in stratified random sampling

Sarbjit Singh Brar, Manpreet Singh, S. C. Malik

Published Online: 09 May 2025DOI: 10.47974/JSMS-1295

In this paper: In this present paper, an unbiased estimator of population mean is suggested by using an auxiliary attribute within stratified simple random sampling (SSRS), the variance of the estimator has been the...

AbstractReferencesFull Text PDF (293 KB)Views: 206Downloads: 107Citations: 0
Open Access Research Article·pp. 649–669·Vol. 28, Issue 4May 2025

A notable two-parameter detection model for the line transect distance sampling

Hassan S. Bakouch, Rawda I. Abdullaa, Christophe Chesneau, Abouzar Bazyari

Published Online: 08 Apr 2025DOI: 10.47974/JSMS-1314

In this paper: Line transect sampling is a technique used to estimate the population abundance of animals, plants, birds or other objects in a given region. It is usually the most recommended method among ecologists...

AbstractReferencesFull Text PDF (720 KB)Views: 262Downloads: 113Citations: 0
Open Access Research Article·pp. 671–689·Vol. 28, Issue 4May 2025

An alternative method for out-of-sample forecast of FIEGARCH model

Debopam Rakshit, Ranjit Kumar Paul, Md. Yeasin, Christophe Chesneau

Published Online: 06 May 2025DOI: 10.47974/JSMS-1357

In this paper: Volatility is an inherent characteristic of a time series (TS). It is said to be asymmetric when negative and positive shocks of equal scale have different effects. If the volatility of one epoch is i...

AbstractReferencesFull Text PDF (664 KB)Views: 195Downloads: 106Citations: 0
Open Access Research Article·pp. 691–711·Vol. 28, Issue 4May 2025

The new continuous distribution : Statistical properties and modelling for Covid-19 data

Ayşe Metin Karakaş

Published Online: 06 May 2025DOI: 10.47974/JSMS-1371

In this paper: Our research unveils a transformative distribution model: the Kumaraswamy power burr distribution. This innovative model emerges through the application of the Kumaraswamy transformation to the power...

AbstractReferencesFull Text PDF (800 KB)Views: 196Downloads: 100Citations: 0
Open Access Research Article·pp. 713–740·Vol. 28, Issue 4May 2025

The impact of the Covid-19 and the Russia-Ukraine conflict on crude oil and stock market volatility

Iris Wong Sie Feng, Quah Aun Thye, Chin Wen Cheong, Lim Min

Published Online: 06 May 2025DOI: 10.47974/JSMS-1372

In this paper: The global economy has been profoundly affected by two recent crises: the Covid-19 pandemic and the Russia-Ukraine War. These events have also driven market volatility in both West Texas Intermediate...

AbstractReferencesFull Text PDF (7.0 MB)Views: 219Downloads: 105Citations: 0
Open Access Research Article·pp. 741–760·Vol. 28, Issue 4May 2025

Analysis of Sudoku square designs for imprecise data

Abdulrahman Al-Aita, Muhammad Aslam, Rafif Al-Habib

Published Online: 09 May 2025DOI: 10.47974/JSMS-1373

In this paper: The classic Sudoku square design is applied for testing the null hypothesis when all observations in the data are precise and certain. In some cases, it is difficult for researchers to obtain exact ob...

AbstractReferencesFull Text PDF (496 KB)Views: 184Downloads: 115Citations: 0
Open Access Research Article·pp. 761–793·Vol. 28, Issue 4May 2025

Predicting the success of online news about movies with Google Analytics and Twitter : A machine learning methodology

Víctor Yeste, Ángeles Calduch-Losa, José Antonio Ontalba-Ruipérez, Jorge Serrano-Cobos

Published Online: 12 May 2025DOI: 10.47974/JSMS-1379

In this paper: This paper presents a machine learning methodology for predicting the success of online movie news with web analytics data from Google Analytics and social media analytics data from Twitter (now known...

AbstractReferencesFull Text PDF (434 KB)Views: 290Downloads: 109Citations: 0
Open Access Research Article·pp. 795–808·Vol. 28, Issue 4May 2025

Optimizing transportation network through IFN ranking : A comprehensive approach

G. Padma, N. Ravi Shankar, Kolli Srinivasa Rao

Published Online: 28 Apr 2025DOI: 10.47974/JSMS-1418

In this paper: The model of an Intuitionistic Uncertain Numeral is important used for computing an uncertain number, and ordering IFNs poses a significant contest in transport. This paper objects to present a method...

AbstractReferencesFull Text PDF (759 KB)Views: 195Downloads: 120Citations: 0
Open Access Research Article·pp. 809–818·Vol. 28, Issue 4May 2025

Stochastic approach for faculty turnover in higher education institutions using Erlang truncated exponential distribution

Sandra S. Ferreira, Halim Zeghdoudi, Sivasankar Prabaharan, Dhurata  Valera, Vinoth Raman

Published Online: 12 May 2025DOI: 10.47974/JSMS-1442

In this paper: Various studies have been undertaken on applying stochastic modeling in organizations with varying academic ranks of their employees. However, no studies have been conducted on faculty turnover in hig...

AbstractReferencesFull Text PDF (696 KB)Views: 326Downloads: 114Citations: 0