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Journal Articles

Weighted (h,φ)‐divergences in goodness‐of‐fit with composite null hypotheses

E. Landaburu, L. Pardo

Kybernetes (2006) 35 (5): 713–725.

https://doi.org/10.1108/03684920610662467

Published: 01 June 2006

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Journal Articles

Asymptotic behaviour and statistical applications of weighted (h, φ) – divergences

E. Landaburu, L. Pardo

Kybernetes (2004) 33 (9-10): 1518–1534.

https://doi.org/10.1108/03684920410556106

Published: 01 October 2004

View article titled, Asymptotic behaviour and statistical applications of weighted (h, φ) – divergences

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Journal Articles

Asymptotic approximations for the distributions of the (h_‐, φ_‐)‐divergence goodness‐of‐fit statistics: application to Renyi’s statistic

M.L. Menéndez, J.A. Pardo, L. Pardo, M.C. Pardo

Kybernetes (1997) 26 (4): 442–452.

https://doi.org/10.1108/03684929710176449

Published: 01 June 1997

View article titled, Asymptotic approximations for the distributions of the (h‐, φ‐)‐divergence goodness‐of‐fit statistics: application to Renyi’s statistic

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Journal Articles

(h, ø)‐information measure as a criterion of comparison of experiments in a Bayesian context

M.L. Menéndez, L. Pardo, D. Morales, M. Salicrú

Kybernetes (1996) 25 (2): 40–51.

https://doi.org/10.1108/03684929610114637

Published: 01 March 1996

View article titled, (h, ø)‐information measure as a criterion of comparison of experiments in a Bayesian context

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Journal Articles

Generalized Jensen difference divergence measures and Fisher measure of information

L. Pardo, D. Morales, I.J. Taneja

Kybernetes (1995) 24 (2): 15–28.

https://doi.org/10.1108/03684929510083066

Published: 01 March 1995

View article titled, Generalized Jensen difference divergence measures and Fisher measure of information

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Journal Articles

THE f*‐DIVERGENCE AS A CRITERION OF COMPARISON BETWEEN FUZZY INFORMATION SYSTEMS

L. PARDO, M.L. MENENDEZ, J.A. PARDO

Kybernetes (1986) 15 (3): 189–194.

https://doi.org/10.1108/eb005743

Published: 01 March 1986

View article titled, THE f*‐DIVERGENCE AS A CRITERION OF COMPARISON BETWEEN FUZZY INFORMATION SYSTEMS

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Weighted (h,φ)‐divergences in goodness‐of‐fit with composite null hypotheses

Asymptotic behaviour and statistical applications of weighted (h, φ) – divergences

Asymptotic approximations for the distributions of the (h_‐, φ_‐)‐divergence goodness‐of‐fit statistics: application to Renyi’s statistic

(h, ø)‐information measure as a criterion of comparison of experiments in a Bayesian context

Generalized Jensen difference divergence measures and Fisher measure of information

THE f*‐DIVERGENCE AS A CRITERION OF COMPARISON BETWEEN FUZZY INFORMATION SYSTEMS

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