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Title: Statistical methods for network surveillance

 [1];  [2];  [3];  [2]
  1. Department of Statistics, University of California, Riverside CA USA
  2. Department of Mathematics and Statistics, University of San Francisco, San Francisco CA USA
  3. Moscow Institute of Physics and Technology, Moscow Russia, AGT StatConsult, Los Angeles CA USA
Publication Date:
Sponsoring Org.:
OSTI Identifier:
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Applied Stochastic Models in Business and Industry
Additional Journal Information:
Journal Name: Applied Stochastic Models in Business and Industry Journal Volume: 34 Journal Issue: 4; Journal ID: ISSN 1524-1904
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
United Kingdom

Citation Formats

Jeske, Daniel R., Stevens, Nathaniel T., Tartakovsky, Alexander G., and Wilson, James D. Statistical methods for network surveillance. United Kingdom: N. p., 2018. Web. doi:10.1002/asmb.2326.
Jeske, Daniel R., Stevens, Nathaniel T., Tartakovsky, Alexander G., & Wilson, James D. Statistical methods for network surveillance. United Kingdom. doi:10.1002/asmb.2326.
Jeske, Daniel R., Stevens, Nathaniel T., Tartakovsky, Alexander G., and Wilson, James D. Tue . "Statistical methods for network surveillance". United Kingdom. doi:10.1002/asmb.2326.
title = {Statistical methods for network surveillance},
author = {Jeske, Daniel R. and Stevens, Nathaniel T. and Tartakovsky, Alexander G. and Wilson, James D.},
abstractNote = {},
doi = {10.1002/asmb.2326},
journal = {Applied Stochastic Models in Business and Industry},
number = 4,
volume = 34,
place = {United Kingdom},
year = {2018},
month = {4}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1002/asmb.2326

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Cited by: 5 works
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