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A new test of multivariate normality by a double estimation in a characterizing PDE
This paper deals with testing for nondegenerate normality of a $d$-variate random vector $X$ based on a random sample $X_1,\ldots,X_n$ …
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Bahadur efficiencies of the Epps–Pulley test for normality
The test for normality suggested by Epps and Pulley is a serious competitor to tests based on the empirical distribution function. In …
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Censored functional data for incomplete follow-up studies
Functional data analysis plays an increasingly important role in medical research because patients are followed over time. Thus, the …
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Explicit agreement extremes for a 2 x 2 table with given marginals
The problem of maximizing (or minimizing) the agreement between clusterings, subject to given marginals, can be formally posed under a …
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Fast and efficient algorithms for sparse semiparametric bi-functional regression
A new sparse semiparametric model is proposed, which incorporates the influence of two functional random variables in a scalar response …
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Fixed point characterizations of continuous univariate probability distributions and their applications
By extrapolating the explicit formula of the zero-bias distribution occurring in the context of Stein’s method, we construct …
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Minimum $L^q$-distance estimators for non-normalized parametric models
We propose and investigate a new estimation method for the parameters of models consisting of smooth density functions on the positive …
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Nonparametric estimation of circular trend surfaces with application to wave directions
In oceanography, modeling wave fields requires the use of statistical tools capable of handling the circular nature of the data …
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Nonparametric estimation of probability of default with double smoothing
In this paper, a general nonparametric estimator of the probability of default is proposed and studied. It is derived from an estimator …
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Nonparametric multiple regression estimation for circular response
Nonparametric estimators of a regression function with circular response and Rd-valued predictor are considered in this work. Local …
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