Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/5081
Title: Some Generalized Information and Divergence Generating Functions: Properties, Estimation, Validation and Application
Authors: Saha, Shital
Kayal, Suchandan
Balakrishnan, N.
Keywords: Information generating function
Rényi entropy
Monotone transformation
Estimation
Coherent system
Chaotic maps
Issue Date: Feb-2025
Citation: 2nd Annual QEDS Conference (AACM-2025), BIT Mersa, Ranchi, 13-15 February 2025
Abstract: We propose Renyi information generating function and discuss its properties. The relation between the Renyi information generating function and Shannon entropy of order q > 0 is established and several bounds are obtained. Furthermore, we introduce Renyi divergence information generating function and discuss its effect under monotone transformations. We present non-parametric estimators of the Renyi information generating function and Golomb information generating function. For three coherent systems, we calculate the values of the Renyi information generating function and other well-established uncertainty measures and similar behaviour of the Renyi information generating function is observed. Finally, two chaotic maps are considered and then used to establish a validation of the proposed information generating function.
Description: Copyright belongs to the proceeding publisher
URI: http://hdl.handle.net/2080/5081
Appears in Collections:Conference Papers

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