# Statistical Papers

Statistical Papers > 2012 > 53 > 1 > 23-31

*k*-out-of-

*n*systems, where the failures of components possibly affect the residual lifetimes of the remaining ones. In this paper, we consider the residual lifetime of the components after the

*k*th failure in the sequential (

*n*−

*k*+ 1)-out-of-

*n*system. We extend some results...

Statistical Papers > 2012 > 53 > 1 > 177-193

Statistical Papers > 2012 > 53 > 1 > 195-203

*f*is considered, using wavelet orthogonal bases. We consider an important kind of dependent random variables, the so-called mixing random variables and investigate the precise asymptotic expression for the mean integrated error of the wavelet estimators. We show that the mean integrated error of the proposed estimator attains the...

Statistical Papers > 2012 > 53 > 1 > 133-149

*X*of interest and its truncation variable

*L*plays a fundamental role in modeling data structure. For truncated data, typical interest is in estimating the marginal distributions of (

*L*,

*X*) and often in examining the...

Statistical Papers > 2012 > 53 > 1 > 95-106

Statistical Papers > 2012 > 53 > 1 > 73-82

Statistical Papers > 2012 > 53 > 1 > 83-93

Statistical Papers > 2012 > 53 > 1 > 229-238

Statistical Papers > 2012 > 53 > 1 > 51-60

*θ*, we introduce and motivate the use of balanced loss functions of the form $${L_{\rho, \omega, \delta_0}(\theta, \delta)=\omega \rho(\delta_0, \delta)+ (1-\omega) \rho(\theta, \delta)}$$ , as well as the weighted version $${q(\theta) L_{\rho, \omega, \delta_0}(\theta, \delta)}$$ , where

*ρ*(

*θ*,

*δ*) is an arbitrary loss function,

*δ*

_{0}is a chosen a priori “target”...

Statistical Papers > 2012 > 53 > 1 > 61-72

Statistical Papers > 2012 > 53 > 1 > 33-49

*h*for approaching the censoring limit, the latter being used as an explanatory variable in the second step of the Heckit, can induce...

Statistical Papers > 2012 > 53 > 1 > 1-21

Statistical Papers > 2012 > 53 > 1 > 151-164

** of that problem. In the paper we generalize this result proving that the decision rule*

**d**** is also minimax when the class...*

**d**Statistical Papers > 2012 > 53 > 1 > 165-176