A NEW EXPONENTIAL DIRECTED DIVERGENCE INFORMATION MEASURE

2016 ◽  
Vol 34 (3_4) ◽  
pp. 295-308
Author(s):  
K.C. JAIN ◽  
PRAPHULL CHHABRA
Keyword(s):  
Information Measure ◽  
Directed Divergence

Parametric R-norm directed-divergence convex function

2016 ◽  
Vol 19 (02) ◽  
pp. 1650014 ◽  
Author(s):  
Dhanesh Garg ◽  
Satish Kumar
Keyword(s):  
Convex Function ◽  
Industrial Engineering ◽  
Information Measure ◽  
Divergence Measure ◽  
Directed Divergence ◽  
Information Measures ◽  
New Information ◽  
Special Cases ◽  
Leibler Information

In this paper, we define parametric [Formula: see text]-norm directed-divergence convex function and discuss their special cases and prove some properties similar to Kullback–Leibler information measure. From [Formula: see text]-norm divergence measure new information measures have also been derived and their relations with different measures of entropy have been obtained and give its application in industrial engineering.

ON WEIGHTED GENERALIZED RESIDUAL INFORMATION MEASURE

2015 ◽  
Vol 4 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Ashok Kumar ◽  
H C Taneja ◽  
Ashok K Chitkara ◽  
Vikas Kumar
Keyword(s):  
Information Measure

An information measure for class discrimination

1986 ◽  
Vol 7 (4) ◽  
pp. 547-556 ◽  
Author(s):  
S. S. Shen ◽  
G. D. Badhwar
Keyword(s):  
Information Measure ◽  
Class Discrimination

scholarly journals Effectiveness analysis of the kulback’s information measure in the technological objects monitoring

2017 ◽  
Vol 129 ◽  
pp. 03025 ◽  
Author(s):  
Alexander Skatkov ◽  
Alexey Brjuhoveckij ◽  
Dmitriy Moiseev
Keyword(s):  
Information Measure ◽  
Effectiveness Analysis

Computer classification of the EEG time series by Kullback information measure

1980 ◽  
Vol 11 (6) ◽  
pp. 677-687 ◽  
Author(s):  
NAOHIRO ISHII ◽  
HIDEYUKI SUGIMOTO ◽  
AKIRA IWATA ◽  
NOBUO SUZUMURA
Keyword(s):  
Time Series ◽  
Information Measure ◽  
Kullback Information ◽  
Computer Classification
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