NDLI: Using Quantile Regression to Understand Visitor Spending

Content Provider	Scilit
Author	Lew, Alan A. Ng, Pin T.
Copyright Year	2011
Related Links	http://jtr.sagepub.com/content/51/3/278.full.pdf
Ending Page	288
Page Count	11
Starting Page	278
ISSN	00472875
e-ISSN	15526763
DOI	10.1177/0047287511410319
Journal	Journal of Travel Research
Issue Number	3
Volume Number	51
Language	English
Publisher	SAGE Publications
Publisher Date	2011-06-03
Access Restriction	Open
Subject Keyword	Journal: Journal of Travel Research Tourism, Leisure, Sport and Hospitality Quantile Regression Least Squares Regression Tourist Expenditures Chinese Tourists Market Segmentation
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Tourism, Leisure and Hospitality Management Transportation

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Indian Institute of Technology Kharagpur
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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Using Quantile Regression to Understand Visitor Spending