Sunoj, S M; Linu, M N(Taylor & Francis, May 2, 2010)
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Abstract:
Recently, cumulative residual entropy (CRE) has been found to be a new measure of information that
parallels Shannon’s entropy (see Rao et al. [Cumulative residual entropy: A new measure of information,
IEEE Trans. Inform. Theory. 50(6) (2004), pp. 1220–1228] and Asadi and Zohrevand [On the dynamic
cumulative residual entropy, J. Stat. Plann. Inference 137 (2007), pp. 1931–1941]). Motivated by this finding,
in this paper, we introduce a generalized measure of it, namely cumulative residual Renyi’s entropy,
and study its properties.We also examine it in relation to some applied problems such as weighted and equilibrium
models. Finally, we extend this measure into the bivariate set-up and prove certain characterizing
relationships to identify different bivariate lifetime models
Marine yeasts (33 strains) were isolated from the
coastal and offshore waters off Cochin. The isolates
were identified and then characterized for the utilization
of starch, gelatin, lipid, cellulose, urea, pectin,
lignin, chitin and prawn-shell waste. Most of the
isolates were Candida species. Based on the
biochemical characterization, four potential strains
were selected and their optimum pH and NaCI
concentration for growth were determined. These
strains were then inoculated into prawn-shell waste
and SCP (single cell protein) generation was noted in
terms of the increase in protein content of the final
product.