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This chapter contains sections titled:
Formulation of entropy
Shannon entropy
Connotations of information and entropy
Discrete entropy: univariate case and marginal entropy
Discrete entropy: bivariate case
Dimensionless entropies
Bayes theorem
Informational correlation coefficient
Coefficient of nontransferred information
Discrete entropy: multidimensional case
Continuous entropy
Stochastic processes and entropy
Effect of proportional class interval
Effect of the form of probability distribution
Data with zero values
Effect of measurement units
Effect of averaging data
Effect of measurement error
Entropy in frequency domain
Principle of maximum entropy
Concentration theorem
Principle of minimum cross entropy
Relation between entropy and error probability
Various interpretations of entropy
Relation between entropy and variance
Entropy power
Relative frequency
Application of entropy theory
Questions
References
Additional Reading
This chapter contains sections titled:
Formulation of entropy
Shannon entropy
Connotations of information and entropy
Discrete entropy: univariate case and marginal entropy
Discrete entropy: bivariate case
Dimensionless entropies
Bayes theorem
Informational correlation coefficient
Coefficient of nontransferred information
Discrete entropy: multidimensional case
Continuous entropy
Stochastic processes and entropy
Effect of proportional class interval
Effect of the form of probability distribution
Data with zero values
Effect of measurement units
Effect of averaging data
Effect of measurement error
Entropy in frequency domain
Principle of maximum entropy
Concentration theorem
Principle of minimum cross entropy
Relation between entropy and error probability
Various interpretations of entropy
Relation between entropy and variance
Entropy power
Relative frequency
Application of entropy theory
Questions
References
Additional Reading
Entropy Theory
Singh, Vijay P. (Autor:in)
25.01.2013
109 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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