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Journal of Statistical Theory and Practice [electronic resource] / edited by Sat Gupta.

Contributor(s): Material type: Continuing resourcePublisher: Cham : Springer International Publishing : Imprint: Springer.Description: online resourceISSN:
  • 1559-8616
Subject(s): Additional physical formats: Printed version: : No titleOnline resources: Summary: 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.
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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.

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