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.
Double sampling regression estimator of population mean subsequent to preliminary test of significance in finite population survey sampling
Boris G. Zaslavsky (June 2018)
- Journal Title
- Journal of Statistical Theory and Practice
- Volume 1 / 2007 - Volume 12 / 2018
- Print ISSN
- Online ISSN
- Springer International Publishing
- Additional Links
To view the rest of this content please follow the download PDF link above.