According to the IFCC, to determine the population-based reference interval (RI) of a test, 120 reference individuals are required. However, for some age groups such as newborns and preterm babies, it is difficult to obtain enough reference individuals. In this study, we consider both parametric and nonparametric bootstrap methods for estimating RIs and the associated confidence intervals (CIs)...

1 Abstract We will develop conndence intervals for linear regression coeecients when the para-metric model is violated by the presence of a fraction of outliers and high leverage data points. Our method will be based on a robustiied bootstrap technique. Unlike the classical bootstrap, our robust bootstrap does not produce unduly heavy tails or extreme re-sampled statistics when the original sam...

Jackknife and bootstrap bias corrections are based on a diierencing argument which does not necessarily respect the sign of the true parameter value. Depending on sampling variability they can over-correct, producing a nal estimator that is negative when one knows on physical grounds that it should be positive. To overcome this problem we suggest a simple, alternative bootstrap approach, based ...

The bootstrap is an increasingly popular method for performing statistical inference. This paper provides the theoretical foundation for using the bootstrap as a valid tool of inference for quasimaximum likelihood estimators (QMLE). We provide a unified framework for analyzing bootstrapped extremum estimators of nonlinear dynamic models for heterogeneous dependent stochastic processes. We apply...

Evaluating the reliability of estimated phylogenetic trees is of critical importance in the field of molecular phylogenetics, and for other endeavors that depend on accurate phylogenetic reconstruction. The bootstrap method is a well-known computational approach to assessing phylogenetic trees, and more generally for assessing the reliability of statistical models. However, it is known to be bi...

A wavelet-based bootstrap method is proposed to generate surrogate data from inertial sensor noise time series and to construct bootstrap-based confidence intervals of selected parameters which are used to characterize their noise performance. The Allan variance, its links with wavelets and the whitening action of wavelet decompositions applied to long-memory stochastic processes are considered...

It is a one-sided hypothesis testing process for assessing bioequivalence. Bootstrap and modified large-sample(MLS) methods are considered to study individual bioequivalence(IBE), type I error and power of hypothesis tests are simulated and compared with FDA(2001). The results show that modified large-sample method is equivalent to the method of FDA(2001) . Keywords—individual bioequivalence; b...

Abstract The objective is to provide a nonparametric bootstrap method for functional data that consists of independent realizations continuous one-dimensional process. process assumed be nonstationary, with mean and variance, dependent. resampling based on estimates the model components. Numerical studies were conducted check performance proposed procedure, by approximating bias standard error ...