Journal of Statistics and Management Systems

Scope & Guideline

Navigating Complexity with Statistical Excellence.

Introduction

Immerse yourself in the scholarly insights of Journal of Statistics and Management Systems with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN0972-0510
PublisherTARU PUBLICATIONS
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationJ STAT MANAG SYST / J. Stat. Manag. Syst.
Frequency8 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressG-159, PUSHKAR ENCLAVE, PASHCHIM VIHAR, NEW DELHI 110 063, INDIA

Aims and Scopes

The Journal of Statistics and Management Systems primarily focuses on the application of statistical methodologies to various fields, including management, economics, and social sciences. It aims to bridge the gap between theoretical statistics and practical applications, facilitating advancements in decision-making processes through robust statistical analysis.
  1. Statistical Methodologies:
    The journal emphasizes the development and application of various statistical techniques, including regression analysis, time-series forecasting, and Bayesian methods, to address real-world problems.
  2. Management Systems Optimization:
    Research often focuses on optimizing management systems through data-driven approaches, including supply chain management, resource allocation, and quality control.
  3. Interdisciplinary Applications:
    The journal encourages submissions that apply statistical methods to interdisciplinary fields such as healthcare, finance, and environmental studies, showcasing the versatility of statistics in solving diverse issues.
  4. Machine Learning and AI Integration:
    There is a growing trend of integrating machine learning and artificial intelligence techniques with statistical methods, enhancing the analytical capabilities of researchers.
  5. Quality Control and Improvement:
    Quality assurance and control are significant themes, with research exploring statistical process control, quality investment, and performance evaluation in manufacturing and service sectors.
The Journal of Statistics and Management Systems is witnessing several emerging themes that reflect current trends in research and applications. These themes align with technological advancements and the increasing complexity of data analysis.
  1. Data Science and Big Data Analytics:
    There is a rising emphasis on data science methodologies, particularly in handling big data, which includes advanced techniques for data mining, machine learning, and predictive analytics.
  2. Healthcare Analytics:
    Research focusing on statistical methods applied to healthcare data is trending, especially in areas like disease prediction, patient adherence, and public health outcomes, driven by the COVID-19 pandemic.
  3. Financial Modeling and Risk Assessment:
    Emerging themes in financial modeling, including the use of statistical tools for risk assessment and volatility prediction, are increasingly prominent, reflecting the journal's response to market dynamics.
  4. Sustainability and Environmental Statistics:
    With growing concerns over climate change, research applying statistical methods to environmental data and sustainability metrics is gaining traction, indicating a shift towards responsible research practices.
  5. Integration of AI and Statistical Methods:
    The convergence of artificial intelligence and statistical approaches is becoming more prevalent, with studies exploring how AI can enhance traditional statistical models and vice versa.

Declining or Waning

While the journal continues to thrive in various domains, certain themes have shown a decline in prominence over recent years. This may reflect shifting research priorities and the evolving landscape of statistical applications.
  1. Traditional Statistical Methods:
    There has been a noticeable decline in papers focused solely on traditional statistical methods without integration with modern computational techniques, reflecting a shift towards more advanced methodologies.
  2. Purely Theoretical Studies:
    Research that is heavily theoretical and lacks practical applications is becoming less frequent, as the journal emphasizes empirical studies that demonstrate real-world relevance.
  3. Basic Data Analysis Techniques:
    Basic descriptive statistics and foundational analysis techniques are being overshadowed by more complex analyses involving machine learning and advanced statistical modeling.

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