Aim

The primary objective of the Journal of Quantitative Sciences (Nicel Bilimler Dergisi (NBD)) l is to provide substantial and original contributions to the scholarly advancement of quantitative science disciplines at both national and international levels. In pursuance of this goal, NBD adopts a rigorously interdisciplinary editorial policy, encompassing the domains of natural sciences, engineering, social sciences, and health sciences, with particular emphasis on the systematic application of statistical methodologies. 

Manuscripts submitted to the journal must not have been previously published or be under consideration for publication elsewhere.

In the case of publications derived from postgraduate theses, the thesis must have been defended within the last three years, calculated from the date of acceptance of the thesis to the date of submission of the manuscript. Furthermore, this condition must be indicated as a footnote in the following format: "This study is derived from the master's/doctoral thesis entitled '…..' with thesis number 123456, completed by ………… on …….. date, under the supervision of Prof. Dr./Assoc. Dr./Asst. Prof. Dr." (The thesis number shall be obtained from the YÖK thesis center).

Studies previously presented as abstract papers are accepted; however, in accordance with the journal's editorial policies, studies presented as full-text papers are not accepted for submission. Manuscripts derived from abstract papers must have been presented within the last three years, calculated from the date of presentation of the abstract. Furthermore, this condition must be indicated as a footnote in the following format: "This article is the completed version of the paper entitled '…….' which was presented as an oral presentation at the event named ………………………. held in Istanbul on November 1-2, 2018, and whose abstract was published in the congress/conference/symposium abstract book.

Scope

The publication scope of the Journal of Quantitative Sciences (Nicel Bilimler Dergisi (NBD)) comprises theoretical and applied research conducted across the fundamental sub-disciplines of statistics, namely statistical theory, applied statistics, statistical information systems, operations research, and risk analysis.