Approximating Fisher's information for the replicated linear circular functional relationship model.
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Hussin, Abdul Ghapor (2005)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
P.-E. Doré, A. Martin, I. Abi-Zeid, A.-L. Jousselme, P. Maupin (2010)
RAIRO - Operations Research - Recherche Opérationnelle
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 n. We then derive the continuous belief function from multimodal probability density functions using the least commitment principle. We illustrate the approach on two...
P.-E. Doré, A. Martin, I. Abi-Zeid, A.-L. Jousselme, P. Maupin (2011)
RAIRO - Operations Research
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 n. We then derive the continuous belief function from multimodal probability density functions using the least commitment principle. We illustrate the approach on two...
E. Laquière (1881)
Bulletin de la Société Mathématique de France
Bruno Lecoutre, Jacques Poitevineau, Marie-Paule Lecoutre (2004)
Journal de la société française de statistique
Guy Morel (2010)
ESAIM: Probability and Statistics
The p-values are often implicitly used as a measure of evidence for the hypotheses of the tests. This practice has been analyzed with different approaches. It is generally accepted for the one-sided hypothesis problem, but it is often criticized for the two-sided hypothesis problem. We analyze this practice with a new approach to statistical inference. First we select good decision rules without using a loss function, we call them experts. Then we define a probability distribution on the space...
Zdeněk Fabián (1997)
Kybernetika
Olivares, María Margarita, Martinez, Harú (2008)
Divulgaciones Matemáticas
E. Bunický (1948)
Aktuárské vědy
Tomáš Havránek (1976)
Kybernetika
L. Cvetnič (1932)
Aktuárské vědy
Gloria García, Josep M. Oller (2006)
SORT
In this paper we review different meanings of the word intrinsic in statistical estimation, focusing our attention on the use of this word in the analysis of the properties of an estimator. We review the intrinsic versions of the bias and the mean square error and results analogous to the Cramér-Rao inequality and Rao-Blackwell theorem. Different results related to the Bernoulli and normal distributions are also considered.
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