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This content will become publicly available on April 17, 2019

Title: Statistical methods for network surveillance

Authors:
 [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:
Type:
Publisher's Accepted Manuscript
Journal Name:
Applied Stochastic Models in Business and Industry
Additional Journal Information:
Related Information: CHORUS Timestamp: 2018-04-17 14:06:27; Journal ID: ISSN 1524-1904
Publisher:
Wiley Blackwell (John Wiley & Sons)
Sponsoring Org:
USDOE
Country of Publication:
Country unknown/Code not available
Language:
English
OSTI Identifier:
1433427