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Comparison of Parametric and Bootstrap Method in Bioequivalence Test [PDF]
The estimation of 90% parametric confidence intervals (CIs) of mean AUC and Cmax ratios in bioequivalence (BE) tests are based upon the assumption that formulation effects in log-transformed data are normally distributed. To compare the parametric CIs with those obtained from nonparametric methods we performed repeated estimation of bootstrap-resampled
Byung-Jin, Ahn, Dong-Seok, Yim
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Comparison of nonparametric estimators versus parametric for reliability function
One of the main objectives of the area of realiability is to estimate the function of reliability, where traditionally are used non parametric estimators, being more efficient in sample of big sizes.
Javier Ramírez-Montoya
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Estimator Statistics from Simulation-Free Dirichlet Block-Bootstrap Resampling
Since the initiation of two variants of the bootstrap method by Efron and Rubin in the late 1970s, a variety of advancements has emerged in the literature. The subsampling of blocks enabled the estimation of the actual variance of the sample mean.
Tillmann Rosenow
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Monitoring life-testing trials for a product or substance often demands significant time and effort. To expedite this process, sometimes units are subjected to more severe conditions in what is known as accelerated life tests.
Amel Abd-El-Monem +4 more
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Hyperbolic Cosine–Exponentiated Exponential Lifetime Distribution and its Application in Reliability [PDF]
Recently, Kharazmi and Saadatinik (2016) introduced a new family of lifetime distributions called hyperbolic cosine – F (HCF) distribution. In the present paper, it is focused on a special case of HCF family with exponentiated exponential distribution as
Omid Kharazmi
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Non-parametric and semi-parametric resampling procedures are widely used to perform support estimation in computational biology and bioinformatics. Among the most widely used methods in this class is the standard bootstrap method, which consists of ...
Wei Wang +3 more
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Analysis of maximum precipitation in Thailand using non‐stationary extreme value models
Non‐stationarity in heavy rainfall time series is often apparent in the form of trends because of long‐term climate changes. We have built non‐stationary (NS) models for annual maximum daily (AMP1) and 2‐day precipitation (AMP2) data observed between ...
Thanawan Prahadchai +3 more
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Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
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On Parametric Bootstrap Methods for Small Area Prediction
SummaryThe particularly wide range of applications of small area prediction, e.g. in policy making decisions, has meant that this topic has received substantial attention in recent years. The problems of estimating mean-squared predictive error, of correcting that estimator for bias and of constructing prediction intervals have been addressed by ...
Hall, Peter, Maiti, Tapabrata
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With the development of modern data collection techniques, researchers often encounter high-dimensional data across various research fields. An important problem is to determine whether several groups of these high-dimensional data originate from the ...
Zhi Peng Ong +3 more
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