NDLI: Model-Based clustering for cross-sectional time series data

Content Provider	Springer Nature Link
Author	Wang, H. Holly Zhang, Hao
Copyright Year	2002
Abstract	A model-based clustering method for cross-sectional time series data is proposed and applied to crop insurance programs. To design an effective grouprisk plan, an important step is to group together the farms that resemble each other and decide the number of clusters, both of which can be achieved via the model-based clustering. The mixture maximum likelihood is employed for inferences. However, with the presence of correlation and missing values, the exact maximum likelihood estimators (MLEs) are difficult to obtain. An approach for obtaining approximate MLEs is proposed and evaluated through simulation studies. A bootstrapping method is used to choose the number of components in the mixture model.
Starting Page	107
Ending Page	127
Page Count	21
File Format	PDF
ISSN	10857117
Journal	Journal of Agricultural, Biological, and Environmental Statistics
Volume Number	7
Issue Number	1
e-ISSN	15372693
Language	English
Publisher	Springer-Verlag
Publisher Date	2002-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Akaike’s information criterion Bootstrapping Classification Mixture distribution Statistics for Life Sciences, Medicine, Health Sciences Agriculture Environmental Monitoring/Analysis Biostatistics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Statistics and Probability Environmental Science Agricultural and Biological Sciences Statistics, Probability and Uncertainty

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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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