Pierre Lafaye de Micheaux
 
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[1] Gimenez O. et Lafaye de Micheaux P. Bootstrapping khi-2 goodness-of-fit test statistics in sparse one way multinomials: an empirical study.
[2] Atchade, Y. et Lafaye de Micheaux P. On the use of operator theory in statistics. (PROJET non débuté)
[3] Duchesne P., Lafaye de Micheaux P. et Tagne J. Neyman smooth goodness-of-fit test for normality in ARMA and VARMA models.
[4] A. Desgagné, P. Lafaye de Micheaux et A. Leblanc P-kurtosis and goodness-of-fit test for normality.
[5] P. Lafaye de Micheaux et C. Léger Data-driven multiple linear regression: a bootstrap approach
[6] A. Desgagné, P. Lafaye de Micheaux et A. Leblanc A new test of double exponentiality based on the P-kurtosis.
[7] Lafaye de Micheaux P., Marchina B., On the effect of parameter estimation in limiting khi-2 U - and V -statistics involving complex-valued components.
[8] Lafaye de Micheaux P., Vinod H. D., Approximate comparison of convergence rates for consistent estimators in finite samples.
[9] Ducharme, G., Lafaye de Micheaux P. Neyman-type Goodness-of-fit test for the residuals in regression.
[10] Bilodeau M., Lafaye de Micheaux P. et Mahdi S. Non parametric PLS.
[11] Duchesne P. et Lafaye de Micheaux P. Distributions for residual autocovariances in parsomonious periodic vector autoregressive models with applications
[12] Lafaye de Micheaux P. et Lemaire V. Sample size determination and statistical hypothesis testing for core centration in press coated tablets.
[13] Ducharme G., Lafaye de Micheaux P. et Marchina B. Quadratic forms in complex random variables.
Last Updated on Wednesday, 18 January 2012 23:06  

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