Focus and Scope

Jambura Journal of Probability and Statistics publishes papers on the theory and application of probability and statistics with coverage:

1. Probability Theory : Probability theory is a branch of mathematics concerned with quantifying uncertainty. It provides a framework for understanding and analyzing random phenomena, such as coin flips, dice rolls, and the outcomes of experiments. Key concepts in probability theory include sample space, event, probability measure, probability distribution, random variables, expected value, and variance and standar deviation. Probability theory finds applications in various fields, including statistics, machine learning, finance, physics, and computer science. It provides the foundation for making predictions, modeling uncertainty, and making decisions in the presence of randomness.
2. Mathematical Statistics : Mathematical statistics is a branch of mathematics that deals with the study of statistical methods and theory. It involves the development of mathematical models, techniques, and methodologies used in the collection, analysis, interpretation, and presentation of data. Mathematical statistics aims to provide a rigorous framework for making inferences and decisions based on data, often involving probability theory, calculus, linear algebra, and other advanced mathematical concepts. Key concepts in mathematical statistics include probability theory, statistical inference, sampling theory, parametric and nonparametric methods, Bayesian statistics, regression analysis, time series analysis, spatial and temporal analysis, and multivariate analysis.  Mathematical statistics plays a crucial role in various fields such as economics, engineering, biology, psychology, and many others, providing tools for making informed decisions based on data analysis and inference.
3. Computational Statistics : Computational statistics is a branch of statistics that focuses on the development and application of computational methods and algorithms for statistical analysis. It involves using computers to perform various statistical tasks, such as data analysis, modeling, simulation, and inference. Key concepts in computational statistics such as statistical computing, statistical modelling, statistical inference, simulation studies, high-performance computing. Computational statistics plays a crucial role in various fields, including science, engineering, finance, healthcare, and social sciences, where statistical analysis of data is essential for decision-making and knowledge discovery.
4. Stochastic Processes : Stochastic processes are mathematical models used to describe the evolution of random variables over time or space. They're particularly useful for understanding systems where randomness plays a significant role, such as in physics, biology, finance, and engineering. Key concepts in stochastic process such as random variable, time, sample paths, Markov property, discrete- time stochastic processes, continuous-time stochastics processes, markov chains, poisson processes.
5. Data Science : Data science is a multidisciplinary field that involves extracting insights and knowledge from data through various techniques such as data analysis, machine learning, statistics, and data visualization. It combines elements of mathematics, statistics, computer science, domain knowledge, and communication skills to uncover patterns, trends, and associations within datasets. Key components and concepts within data science include data collection and acquisition, data cleaning and preprocessing, exploratory data analysis, statistical analysis, machine learning, model evaluation and validation, data visualization and communication.
6. Applied Statistics : Applied statistics involves the practical application of statistical methods, techniques, and principles to solve real-world problems in various fields. It encompasses the use of statistical tools and methodologies to analyze data, make informed decisions, and draw meaningful conclusions. Key concepts in applied statistics such as data collection, data analysis, hypothesis testing, experimental design, quality control and process improvement, and survival analysis.

Section Policies

Articles

Open Submissions

Indexed

Peer Reviewed

Peer Review Process

• All articles that is submitted to Jambura Journal Of Probability and Statistics (JJPS) should free plagiarism and suitable with focus and scope and author guidelines.
• Before the review process, all articles will be checked the plagiarism and the suitability format.
• The research article submitted to this online journal will be peer-reviewed at least 1 (two) reviewers. We use double blind peer review process. The decision is made based on the evaluation reports from the reviewers. Whenever necessary, we ask a advanced reviewer to evaluate the paper.
• The accepted research articles will be available online (free download) following the journal peer-reviewing process. Final decision of articles acceptance will be made by Editors according to Reviewers comments. Language used in this journal is Indonesian and English.
• The decision made for the article is the result of the Editorial Board’s agreement based on the suggestions proposed by the reviewer(s) and the double blind review process.
• Plagiarism scanning will be conducted with the help of Anti-Plagiarism Software.
• All articles published Open Access will be immediately and permanently free for everyone to read and download.

 

Open Access Policy

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

Archiving

This journal utilizes the LOCKSS system to create a distributed archiving system among participating libraries and permits those libraries to create permanent archives of the journal for purposes of preservation and restoration. More...