1,721,050 research outputs found

    The exponential statistical manifold: mean parameters, orthogonality and space transformations.

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    Let (X,CalX,mu)(X, Cal X, mu) be a measure space, and let CalM(X,CalX,mu)Cal M(X,Cal X,mu) denote the set of the mumu-almost surely strictly positive probability densities. It was shown by G. Pistone and C. Sempi (1995) that the global geometry on CalM(X,CalX,mu)Cal M(X,Cal X,mu) can be realized by an affine atlas whose charts are defined locally by the mappings CalM(X,CalX,mu)supsetCalUpiqmapstolog(q/p)+K(p,q)inBpCal M(X,Cal X,mu)supset Cal U_p i q mapsto log(q/p) + K(p,q)in B_p, where CalUpCal U_p is a suitable open set containing pp, K(p,q)K(p,q) is the Kullback-Leibler relative information and BpB_p is the vector space of centered and exponentially (pcdotmu)(pcdotmu)-integrable random variables. In the present paper we study the transformation of such an atlas and the related manifold structure under basic transformations, that is measurable transformation of the sample space. A generalization of the mixed parameterization method for exponential models is also presented

    Indicator function and complex coding for mixed fractional factorial designs

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    In a general fractional factorial design, the n levels of a factor are coded by the nth roots of the unity. This device allows a full generalization to mixed-level designs of the theory of the polynomial indicator function which has already been introduced for two-level designs in a joint paper with Fontana. The properties of orthogonal arrays and regular fractions are discussed

    Algebraic statistics of level codings for fractional factorial designs

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    We discuss the applications of Algebraic Statistics to fractional factorial design with special emphasis on the choice of level coding. In particular we deal with the theory of Bayley (1983) level codings in that framework
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