Information-Theoretic Methods Applied to Dispatch of Emergency Services Data

Author(s):  
Monte Hancock ◽  
Katy Hancock ◽  
Marie Tree ◽  
Mitchell Kirshner ◽  
Benjamin Bowles
2010 ◽  
Vol 23 (6) ◽  
pp. 713-727 ◽  
Author(s):  
Robin A.A. Ince ◽  
Riccardo Senatore ◽  
Ehsan Arabzadeh ◽  
Fernando Montani ◽  
Mathew E. Diamond ◽  
...  

Astrobiology ◽  
2010 ◽  
Vol 10 (4) ◽  
pp. 363-379 ◽  
Author(s):  
Kiri L. Wagstaff ◽  
Frank A. Corsetti

Author(s):  
Joanne Lee ◽  
Wendy K. Tam Cho ◽  
George Judge

This chapter examines and searches for evidence of fraud in two clinical data sets from a highly publicized case of scientific misconduct. In this case, data were falsified by Eric Poehlman, a faculty member at the University of Vermont, who pleaded guilty to fabricating more than a decade of data, some connected to federal grants from the National Institutes of Health. Poehlman had authored influential studies on many topics; including obesity, menopause, lipids, and aging. The chapter's classical Benford analysis along with a presentation of a more general class of Benford-like distributions highlights interesting insights into this and similar cases. In addition, this chapter demonstrates how information-theoretic methods and other data-adaptive methods are promising tools for generating benchmark distributions of first significant digits (FSDs) and examining data sets for departures from expectations.


Author(s):  
Robert Jenssen ◽  
Torbjørn Eltoft ◽  
Deniz Erdogmus ◽  
Jose C. Principe

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