Pakistan Science Abstracts
Article details & metrics
No Detail Found!!
Two Parametric Generalized 'useful' R-norm Information Measure & its Coding Theorem.
Author(s):
1. Saima Manzoor Sofi: Department of Statistics, University of Kashmir, India
2. Safeena Peerzada: Department of Statistics, University of Kashmir, India
3. 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 .
Page(s): 109-126
DOI: DOI not available
Published: Journal: Pakistan Journal of Statistics, Volume: 35, Issue: 2, Year: 2019
Keywords:
Mean Codeword , Utility distribution , Rnorm Information , Holders inequality
References:
References are not available for this document.
Citations
Citations are not available for this document.
0

Citations

0

Downloads

9

Views