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Resampling Methods for Dependent Data

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Overall attention for this book and its chapters
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1 institution with syllabi

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631 Dimensions

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80 Mendeley
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Title
Resampling Methods for Dependent Data
Published by
Springer New York, March 2013
DOI 10.1007/978-1-4757-3803-2
ISBNs
978-1-4757-3803-2, 978-1-4419-1848-2
Authors

Lahiri, S. N.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Portugal 1 1%
Australia 1 1%
France 1 1%
Mexico 1 1%
Brazil 1 1%
United States 1 1%
Norway 1 1%
Unknown 72 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 36%
Researcher 15 19%
Student > Master 9 11%
Professor > Associate Professor 6 8%
Student > Doctoral Student 5 6%
Other 15 19%
Unknown 1 1%
Readers by discipline Count As %
Economics, Econometrics and Finance 16 20%
Mathematics 14 18%
Agricultural and Biological Sciences 9 11%
Computer Science 8 10%
Unspecified 8 10%
Other 24 30%
Unknown 1 1%