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Criterio de Laplace: Premisa fundamental en inducción estadística

Author

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  • Chaves, Emilio José

    (Universidad de los Andes)

Abstract

Se discute el Criterio o Regla de Laplace y fundamenta su uso para construir la curva de Lorenz, CL, a partir de series de datos. Presenta ejemplos y gráficos de modelos de ajuste de la CL y de la FDA inferidas; comenta los límites del modelo. El método separa la media real, U, de la función de distribución adimensional (en medias), de modo que FDA(real) = U(real)*FDA(en medias). Busca fundamentar la inferencia estadística univariable de datos positivos a partir del criterio de Laplace, matemáticas clásicas y lógica de conjuntos.Este método no-paramétrico supone frecuencias 1/N idénticas para los N datos, sin usar funciones de distribución a-priori. Dada su sencillez, propone su empleo en educación estadística y su aplicación en investigación, como elemento teórico previo al manejo del análisis ultivariable.

Suggested Citation

  • Chaves, Emilio José, 2015. "Criterio de Laplace: Premisa fundamental en inducción estadística," Revista Tendencias, Universidad de Narino, vol. 16(1), pages 51-64, January.
    • Handle: RePEc:col:000520:018816
    DOI: 10.22267/rtend.151601.32
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    More about this item

    Keywords

    Inducción estadística; Modelos de ajuste; Métodos numéricos; Curvas de Lorenz y FDA; Muestras aleatorias;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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