Journal of Statistical Theory and Practice
The Journal of Statistical Theory and Practice is a broad-based journal encouraging submission of original research papers, significant review articles, and book reviews in statistical sciences. The journal also publishes editorials on "Life and Works" of eminent scholars. Special issues on targeted topics are published from time to time.
In addition to covering all traditional topics in statistical theory and applications, the journal will also publish articles in the field of data sciences including machine learning.
A Note on Kumar (2016): Improved Estimation of Population Mean in the Presence of Measurement Error and Non-response
Application of the Misclassification Simulation Extrapolation Procedure to Log-Logistic Accelerated Failure Time Models in Survival Analysis
- Journal Title
- Journal of Statistical Theory and Practice
- Volume 1 / 2007 - Volume 13 / 2019
- Print ISSN
- Online ISSN
- Springer International Publishing
- Additional Links
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