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February-2019
eISSN: 2349-5162
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Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed, Crossref DOI Journal )
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UGC Approved Journal no 63975(19)
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ISSN: 2349-5162 | ESTD Year : 2014 Volume 13 | Issue 3 | March 2026
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ISSN: 2349-5162 | ESTD Year : 2014 Volume 13 | Issue 3 | March 2026
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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Published Paper ID:
JETIR1902089
Registration ID:
196691
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Title
A comparison between traditional and data-driven statistical predictive techniques
Abstract
Statistical techniques are used for various purposes, beginning with descriptive and inferential statistics, ending with predictive models that help us to predict possible consequences of our decisions. The paper aims to make a comparison between traditional and data driven statistical predictive techniques. The comparison includes similarities as well as differences between the two. While these two differ from each other technically as well as procedurally , the basic reason for the confusion is a lack of clarity in many textbooks regarding traditional and data-driven statistical predictive techniques .
Key Words
statistical predictive techniques, data-driven predictive models
Cite This Article
"A comparison between traditional and data-driven statistical predictive techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.684-686, February-2019, Available :http://www.jetir.org/papers/JETIR1902089.pdf
ISSN
2349-5162 | Impact Factor 7.95 Calculate by Google Scholar
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Cite This Article
"A comparison between traditional and data-driven statistical predictive techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp684-686, February-2019, Available at : http://www.jetir.org/papers/JETIR1902089.pdf
Publication Details
Published Paper ID: JETIR1902089
Registration ID: 196691
Published In: Volume 6 | Issue 2 | Year February-2019
Page No: 684-686
Country: Baramati/Pune, MAHARASHTRA, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR1902089
Published Paper PDF: https://www.jetir.org/papers/JETIR1902089
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