TIME SERIALS AND CONDITIONAL PREDICTION IN POLITICAL SCIENCE

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

SHAFIEE HASSAN

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: POLITICAL SCIENCE QUARTERLY Year:2011 | Volume:- | Issue:15 Page(s): 83-97

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

1,354

Download:

Cites:

Information Journal Paper

Title

TIME SERIALS AND CONDITIONAL PREDICTION IN POLITICAL SCIENCE

Author(s)

SHAFIEE HASSAN | Issue Writer Certificate

Keywords

POLITICAL SCIENCEQ2

CONDITIONAL PREDICTIONQ3

REGRESSIONQ2

TIME SERIALSQ2

STATISTICS AND PROBABILITIESQ3

INTERDISCIPLINARY STUDIESQ3

Abstract

For a long time, POLITICAL SCIENCE has been influenced by philosophy and ethics and, politics mainly limited to advise political rulers. After great and deep changes in the field of natural sciences, orthodox positivism dominated scientific methodology and very soon it was followed by social sciences including politics. Hereby, experimental and quantitative methods were used by social and POLITICAL SCIENCEs.The article, beyond the extremes in both sides, seeks to study those areas in political facts and events which are preditable by applying statistics and mathematics while it also believes that there are areas which are not predictable. Therefore, “conditional prediction” is the concept which the article prefers to use in this regard.The linkage between POLITICAL SCIENCE and mathematics makes easy to formulate modles such as SWOT. Here, on the basis of TIME SERIALS analytical modle, the author examines the nature and extent of predictability in politic’s.The main goal of this research is to study the interdisciplinary relation between POLITICAL SCIENCE and statistics in the framework of future finding. The TIME SERIALS pattern as an analytical model is regarded as a link between past and future. This will help us to foresee different changes during time fluctuation. In this regard, CONDITIONAL PREDICTION is measured by:yt=T+C+S+Rand therefore, it seems more compatible with political facts and events.

Cites

No record.

References

No record.

Cite

APA: Copy

SHAFIEE, HASSAN. (2011). TIME SERIALS AND CONDITIONAL PREDICTION IN POLITICAL SCIENCE. POLITICAL SCIENCE QUARTERLY, -(15), 83-97. SID. https://sid.ir/paper/174118/en

Vancouver: Copy

SHAFIEE HASSAN. TIME SERIALS AND CONDITIONAL PREDICTION IN POLITICAL SCIENCE. POLITICAL SCIENCE QUARTERLY[Internet]. 2011;-(15):83-97. Available from: https://sid.ir/paper/174118/en

IEEE: Copy

HASSAN SHAFIEE, “TIME SERIALS AND CONDITIONAL PREDICTION IN POLITICAL SCIENCE,” POLITICAL SCIENCE QUARTERLY, vol. -, no. 15, pp. 83–97, 2011, [Online]. Available: https://sid.ir/paper/174118/en

Related Journal Papers