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Journal of the Indian Society for Probability and Statistics (Record no. 2095)

MARC details
000 -LEADER
fixed length control field 02774nas a22003015i 4500
001 - CONTROL NUMBER
control field 2364-9569
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260610082458.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150723s||||||||si uu poo|||||| b|EN |d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 2364-9569
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 41096
Source of number or code local
210 10 - ABBREVIATED TITLE
Abbreviated title J Indian Soc Probab Stat
245 10 - TITLE STATEMENT
Title Journal of the Indian Society for Probability and Statistics
Medium [electronic resource] /
Statement of responsibility, etc. edited by Debasis Kundu.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Singapore :
Name of producer, publisher, distributor, manufacturer Springer Nature Singapore :
-- Imprint: Springer.
300 ## - online resource
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc. The Journal of the Indian Society for Probability and Statistics is dedicated to advancing research in probability, statistics, and their applications across various fields of science and technology. The journal provides a platform for original theoretical and applied contributions that deepen understanding of probabilistic models, statistical methodologies, and data-driven insights relevant to both regional and global contexts. The Journal welcomes high-quality research articles, reviews, and methodological developments in probability theory, statistical inference, stochastic processes, Bayesian methods, multivariate analysis, data science, and computational statistics. It encourages work that addresses contemporary challenges in diverse domains, including but not limited to finance, healthcare, environmental science, machine learning, and artificial intelligence. Additionally, it supports contributions that bridge traditional statistical approaches with modern data science techniques, fostering interdisciplinary innovation. Special emphases are provided on recent topics like statistical learning, deep learning, high-dimensional problems, semi-parametric models, biostatistics, random networks, bioinformatics etc. By publishing rigorously peer-reviewed research, the Journal aims to serve as a valuable resource for academics, researchers, and practitioners. The journal also seeks to promote the growth of the probability and statistics community in India while engaging with developments from around the world. Contributions that highlight innovative applications and theoretical advances are especially welcome, as are studies that discuss novel methodologies or applications of existing methods in unique contexts.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element StatisticsĀ .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Probabilities.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Operations research.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistical Theory and Methods.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Probability Theory.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Operations Research and Decision Theory.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kundu, Debasis.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://link.springer.com/journal/41096">http://link.springer.com/journal/41096</a>
Public note Hybrid

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