Mathematical Modeling and Analysis of Classified Marketing of Agricultural Products

Classified marketing of agricultural products was analyzed using the Logistic Regression Model. This method can take full advantage of information in agricultural product database, to find factors influencing best selling degree of agricultural products, and make quantitative analysis accordingly. Using this model, it is also able to predict sales of agricultural products, and provide reference for mapping out individualized sales strategy for popularizing agricultural products.


Subject(s):
Issue Date:
2014-02
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/164959
Published in:
Asian Agricultural Research, Volume 06, Issue 02
Page range:
19-26
Total Pages:
3




 Record created 2017-04-01, last modified 2017-08-27

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