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Journal Articles

On choosing a goodness‐of‐fit test for discrete multivariate data

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T. Pérez, J.A. Pardo
Journal: Kybernetes
Kybernetes (2003) 32 (9-10): 1405–1424.
https://doi.org/10.1108/03684920310493323
Published: 01 December 2003
View article titled, On choosing a goodness‐of‐fit test for discrete multivariate data
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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

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M.L. Menéndez, J.A. Pardo, L. Pardo, M.C. Pardo
Journal: Kybernetes
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

On the use of divergence statistics to make inferences about three habitats

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Esteban, J.A. Pardo, M.C. Pardo, M.L. Vicente
Journal: Kybernetes
Kybernetes (1995) 24 (1): 44–54.
https://doi.org/10.1108/03684929510079287
Published: 01 February 1995
View article titled, On the use of divergence statistics to make inferences about three habitats
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Journal Articles

The ø‐Entropy in the Selection of a Fixed Number of Experiments

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J.A. Pardo, M.L. Vicente
Journal: Kybernetes
Kybernetes (1994) 23 (5): 27–36.
https://doi.org/10.1108/03684929410064482
Published: 01 July 1994
View article titled, The ø‐Entropy in the Selection of a Fixed Number of Experiments
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Journal Articles

On the Probability of Error in Fuzzy Discrimination Problems

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J.A. Pardo, I.J. Taneja
Journal: Kybernetes
Kybernetes (1992) 21 (6): 43–52.
https://doi.org/10.1108/eb005945
Published: 01 June 1992
View article titled, On the Probability of Error in Fuzzy Discrimination Problems
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Journal Articles

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

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L. PARDO, M.L. MENENDEZ, J.A. PARDO
Journal: Kybernetes
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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