Displaying similar documents to “Les P-values comme votes d'experts”

On Asymptotic Minimaxity of Kernel-based Tests

Michael Ermakov (2010)

ESAIM: Probability and Statistics

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In the problem of signal detection in Gaussian white noise we show asymptotic minimaxity of kernel-based tests. The test statistics equal -norms of kernel estimates. The sets of alternatives are essentially nonparametric and are defined as the sets of all signals such that the -norms of signal smoothed by the kernels exceed some constants . The constant depends on the power of noise and as . Similar statements are proved also if an additional information on...

Flexible measures in production process: A DEA-based approach

Alireza Amirteimoori, Ali Emrouznejad (2011)

RAIRO - Operations Research

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Data envelopment analysis (DEA) has been proven as an excellent data-oriented efficiency analysis method for comparing decision making units () with multiple inputs and multiple outputs. In conventional DEA, it is assumed that the status of each measure is clearly known as either input or output. However, in some situations, a performance measure can play input role for some and output role for others. Cook and Zhu [ (2007) 692–699] referred to these variables...

Flexible measures in production process: A DEA-based approach

Alireza Amirteimoori, Ali Emrouznejad (2011)

RAIRO - Operations Research

Similarity:

Data envelopment analysis (DEA) has been proven as an excellent data-oriented efficiency analysis method for comparing decision making units () with multiple inputs and multiple outputs. In conventional DEA, it is assumed that the status of each measure is clearly known as either input or output. However, in some situations, a performance measure can play input role for some and output role for others. Cook and Zhu [ (2007) 692–699] referred to these variables...

Belief functions induced by multimodal probability density functions, an application to the search and rescue problem

P.-E. Doré, A. Martin, I. Abi-Zeid, A.-L. Jousselme, P. Maupin (2011)

RAIRO - Operations Research

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In this paper, we propose a new method to generate a continuous belief functions from a multimodal probability distribution function defined over a continuous domain. We generalize Smets' approach in the sense that focal elements of the resulting continuous belief function can be disjoint sets of the extended real space of dimension . We then derive the continuous belief function from multimodal probability density functions using the least commitment principle. We illustrate the approach...