Applied statistics and the Indianness of Indian data
(2008) In Sankhya: The Indian Journal of Statistics 70(1). p.1-17- Abstract
We provide an overview of current and possible future directions of Applied Statistics and explore choice of topics (e.g., Bioinformatics), paradigms and methodology. We also provide a tentative assessment of special problems arising in analysis of Indian data. Some priorities and need for special care in applied work are suggested, specially in the Indian context.
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- author
- Ghosh, Jayanta K. ; Bogdan, Malgorzata LU and Samanta, Tapas
- publishing date
- 2008
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Algorithms, Bioinformatics, Cross-validation, Indian data, Model selection, Statistical paradigms
- in
- Sankhya: The Indian Journal of Statistics
- volume
- 70
- issue
- 1
- pages
- 17 pages
- publisher
- Indian Statistical Institute
- external identifiers
-
- scopus:65549168010
- ISSN
- 0972-7671
- language
- English
- LU publication?
- no
- id
- 0042b190-e4d7-43cc-a4c7-25be27778ad2
- date added to LUP
- 2023-12-08 09:24:24
- date last changed
- 2023-12-11 11:04:14
@article{0042b190-e4d7-43cc-a4c7-25be27778ad2, abstract = {{<p>We provide an overview of current and possible future directions of Applied Statistics and explore choice of topics (e.g., Bioinformatics), paradigms and methodology. We also provide a tentative assessment of special problems arising in analysis of Indian data. Some priorities and need for special care in applied work are suggested, specially in the Indian context.</p>}}, author = {{Ghosh, Jayanta K. and Bogdan, Malgorzata and Samanta, Tapas}}, issn = {{0972-7671}}, keywords = {{Algorithms; Bioinformatics; Cross-validation; Indian data; Model selection; Statistical paradigms}}, language = {{eng}}, number = {{1}}, pages = {{1--17}}, publisher = {{Indian Statistical Institute}}, series = {{Sankhya: The Indian Journal of Statistics}}, title = {{Applied statistics and the Indianness of Indian data}}, volume = {{70}}, year = {{2008}}, }