To test the hypothesis H0: f=ψ that an unknown density f is equal to a specified one, ψ, an estimate f^ of f is compared with ψ. The total variation distance ∥ f^-ψ∥1 is used as test statistic.The density estimate f^ considered is a peculiar one. A table of critical values is provided, this table is applicable for arbitrary ψ.Relations with other methods, Neyman´s smooth tests in particular, are discussed and power comparisons are performed. In certain situations, our test is recommendable. An example from practice is provided
The properties of a new nonparametric goodness of fit test are explored. It is based on a likelihood...
The properties of Pearson’s goodness-of-fit test, as used in density forecast evaluation, income dis...
The paper is devoted to multivariate goodness-of-fit ests based on kernel density estimators. Both s...
To test the hypothesis H0: f=ψ that an unknown density f is equal to a specified one, ψ, an estimate...
To test the hypothesis H0: f=ψ that an unknown density f is equal to a specified one, ψ, an estimate...
To test the hypothesis H0: f=ψ that an unknown density f is equal to a specified one, ψ, an estimate...
To test the hypothesis H0: f=? that an unknown density f is equal to a specified one, ?, an estimate...
Under consideration are goodness-of-fit tests for the \textit{density ratio model}. The model stipul...
To test if a density f is equal to a specified f0, one knows by the Neyman-Pearson lemma the form of...
International audienceGiven an i.i.d. sample drawn from a density f, we propose to test that f equal...
International audienceGiven an i.i.d. sample drawn from a density f, we propose to test that f equal...
To assess the goodness-of-fit of a sample to a continuous random distribution, the most popular appr...
To test if a density "f" is equal to a specified "f" 0, one knows by the Neyman-Pearson lemma the fo...
Vita.The objective of this research is to investigate the problem of goodness-of-fit testing based o...
Given an i.i.d. sample drawn from a density f on the real line, one has to test whether f is in a gi...
The properties of a new nonparametric goodness of fit test are explored. It is based on a likelihood...
The properties of Pearson’s goodness-of-fit test, as used in density forecast evaluation, income dis...
The paper is devoted to multivariate goodness-of-fit ests based on kernel density estimators. Both s...
To test the hypothesis H0: f=ψ that an unknown density f is equal to a specified one, ψ, an estimate...
To test the hypothesis H0: f=ψ that an unknown density f is equal to a specified one, ψ, an estimate...
To test the hypothesis H0: f=ψ that an unknown density f is equal to a specified one, ψ, an estimate...
To test the hypothesis H0: f=? that an unknown density f is equal to a specified one, ?, an estimate...
Under consideration are goodness-of-fit tests for the \textit{density ratio model}. The model stipul...
To test if a density f is equal to a specified f0, one knows by the Neyman-Pearson lemma the form of...
International audienceGiven an i.i.d. sample drawn from a density f, we propose to test that f equal...
International audienceGiven an i.i.d. sample drawn from a density f, we propose to test that f equal...
To assess the goodness-of-fit of a sample to a continuous random distribution, the most popular appr...
To test if a density "f" is equal to a specified "f" 0, one knows by the Neyman-Pearson lemma the fo...
Vita.The objective of this research is to investigate the problem of goodness-of-fit testing based o...
Given an i.i.d. sample drawn from a density f on the real line, one has to test whether f is in a gi...
The properties of a new nonparametric goodness of fit test are explored. It is based on a likelihood...
The properties of Pearson’s goodness-of-fit test, as used in density forecast evaluation, income dis...
The paper is devoted to multivariate goodness-of-fit ests based on kernel density estimators. Both s...