30 research outputs found
A procedure for the change point problem in parametric models based on phi-divergence test-statistics
Full text linkThis paper studies the change point problem for a general parametric,
univariate or multivariate family of distributions. An information theoretic
procedure is developed which is based on general divergence measures for
testing the hypothesis of the existence of a change. For comparing the accuracy
of the new test-statistic a simulation study is performed for the special case
of a univariate discrete model. Finally, the procedure proposed in this paper
is illustrated through a classical change-point example
Empirical validation of the diffusion model for recognition memory and a comparison of parameter-estimation methods
Get PDFComputing the exact distributions of some functions of the ordered multinomial counts: maximum, minimum, range and sums of order statistics
No full textImprovement of the test of independence among groups of factors in a multi-way contingency table
No full textComments on: Deville and Särndal’s calibration: revisiting a 25 years old successful optimization problem
No full textDiagnostic test analyses in search of their gold standard: latent class analyses with random effects
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