نتایج جستجو برای: process capability index bootstrap confidence interval maximum likelihood estimate type

تعداد نتایج: 3476976  

2013
Ani Manichaikul Josee Dupuis Saunak Sen Karl W. Broman Josée Dupuis Śaunak Sen Karl W Broman

The aim of many genetic studies is to locate the genomic regions (called quantitative trait loci, QTLs) that contribute to variation in a quantitative trait (such as body weight). Confidence intervals for the locations of QTLs are particularly important for the design of further experiments to identify the gene or genes responsible for the effect. Likelihood support intervals are the most widel...

2017
M. U. Bokhari

In software development process, testing is one of the most important aspects and hence, software reliably is very important factor of software systems. In the last four decades many software reliability growth model based on non-homogeneous Poisson process (NHPP) have been developed which incorporates testing effort function. However, the previous models are quite helpful for software engineer...

2006
Shu-Kai S. Fan Ching-Kuei Kao

Process capability indices are designed to describe how the process of interest can achieve to meet specification limits under a condition of statistical control. One of the capability indices is denoted as Cpm proposed by Chan, Cheng and Spiring (1988), sometimes termed the Taguchi index. The primary goal of this paper attempts to construct a confidence interval for Cpm, which measures proces...

Journal: :Pharmaceutical statistics 2011
P Brain S Kirby R Larionov

We consider fitting the so-called Emax model to continuous response data from clinical trials designed to investigate the dose-response relationship for an experimental compound. When there is insufficient information in the data to estimate all of the parameters because of the high dose asymptote being ill defined, maximum likelihood estimation fails to converge. We explore the use of either b...

2005
ACHILLEAS ZAPRANIS EFSTRATIOS LIVANIS

Neural networks are a consistent example of non-parametric estimation, with powerful universal approximation properties. However, the effective development and deployment of neural network applications, has to be based on established procedures for estimating confidence and especially prediction intervals. This holds particularly true in cases where there is a strong culture for testing the pre...

Journal: :Biometrics 2015
Nino Demetrashvili Edwin R Van den Heuvel

This work is motivated by a meta-analysis case study on antipsychotic medications. The Michaelis-Menten curve is employed to model the nonlinear relationship between the dose and D2 receptor occupancy across multiple studies. An intraclass correlation coefficient (ICC) is used to quantify the heterogeneity across studies. To interpret the size of heterogeneity, an accurate estimate of ICC and i...

2007
Keith T. Weber

The use of remotely sensed imagery to generate land cover models is common today. Validation of these models typically involves the use of an independent set of ground-truth data which are used to calculate an error matrix resulting in estimates of omission, commission, and overall error. However, each estimate of error contains a degree of uncertainty itself due to 1) conceptual bias, 2) locat...

Journal: :Proceedings of the National Academy of Sciences of the United States of America 2002
Yoshiyuki Suzuki Galina V Glazko Masatoshi Nei

Bayesian phylogenetics has recently been proposed as a powerful method for inferring molecular phylogenies, and it has been reported that the mammalian and some plant phylogenies were resolved by using this method. The statistical confidence of interior branches as judged by posterior probabilities in Bayesian analysis is generally higher than that as judged by bootstrap probabilities in maximu...

2013
N. Feroze M. Aslam

The paper deals with the maximum likelihood estimation of the parameters of the Burr type V distribution based on left censored samples. The maximum likelihood estimators (MLE) of the parameters have been derived and the Fisher information matrix for the parameters of the said distribution has been obtained explicitly. The confidence intervals for the parameters have also been discussed. A simu...

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