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Two Parametric Generalized 'useful' R-norm Information Measure & its Coding Theorem.

Author(s)
Saima Manzoor Sofi Department of Statistics, University of Kashmir, India
Safeena Peerzada Department of Statistics, University of Kashmir, India
Ashiq Hussain Bhat Department of Statistics, University of Kashmir, India
Abstract
In the current paper, we propose a new generalized 'useful' R-norm information measure with two parameters a and b. Some basic properties and the particular cases of this measure are discussed. Further, we define the 'useful' R-norm average code-word length and obtain the bounds in terms of the proposed measure. Huffman coding and Shannon-Fano coding schemes are considered to verify the noiseless coding theorem by taking hypothetical data. Also, we analyze the behaviour of the proposed 'useful' R-norm information and its average code-word length at various values of a ,  B and R .
Publication Details
Page(s) 109-126
DOI DOI not available
Published Journal: Pakistan Journal of Statistics, Volume: 35, Issue: 2, Year: 2019

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Keywords
Mean Code-word, Utility distribution, R-norm Information, Holder’s inequality
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