New PDF release: Advances in Regression, Survival Analysis, Extreme Values,

By Stanisław Franciszek Mejza, Shinji Kuriki (auth.), João Lita da Silva, Frederico Caeiro, Isabel Natário, Carlos A. Braumann (eds.)

This quantity of the chosen Papers from Portugal is a made of the 17th Congress of the Portuguese Statistical Society, held on the appealing hotel seashore urban of Sesimbra, Portugal, from September 30 to October three, 2009. It covers a wide scope of theoretical, methodological in addition to application-oriented articles in domain names reminiscent of: Linear versions and Regression, Survival research, severe price conception, facts of Diffusions, Markov methods and different Statistical Applications.

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The values for inner and outer model coefficients were chosen in order to be as similar as possible to the ones that would be obtained with real-world data. For that we have observed typical estimates of model coefficients obtained through the estimation of ECSI model applied to different companies and industries and postulated a model structure consistent with those estimates (Fig. 2). Thus, the postulated structural model is: Á1 D 0:9 C 1 Á2 D 0:8Á1 C 2 1 Á3 D 0:3Á1 C 0:7Á2 C 3 Á4 D 0:3 1 C 0:4Á2 C 0:3Á3 C Á5 D 0:3 1 C 0:7Á4 C 4 5 where 1 is the exogenous variable image and Á1 Á5 are endogenous variables that represent customer expectations, perceived quality, perceived value, customer satisfaction and customer loyalty.

0:42x/ : (13) This covariate had no significant effect on the non-susceptible proportion, something expected given the proximity of the values in the two previous models. Note that the survival time of the susceptible individuals follows a Chen distribution with parameters 1 and 2 when x D 0 and with parameters 1 e ˇ and 2 when x D 1. Due to difficulties in the implementation of the EM algorithm, namely convergence problems, the estimate of ˇ was obtained making use of this characteristic. 5 Concluding Remarks The aim of this article is to increase the options for survival distributions when the use of cure models is relevant.

M. S. Rocha 2 D 0:1, the interval is so large that, from the practical point of view, it is just like having a decreasing hazard function. Reciprocally, as 2 approaches 1, the interval where the hazard function is decreasing is so small that it is almost like if the hazard function was always increasing. 3 The Cure Model Based on the Chen Distribution with Covariates Admit that the survival time of susceptible individuals follows the Chen distribution, given by Eq. (3). As stated by Abreu and Rocha [1], the cure model obtained by substituting in Eq.

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