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Smoothed weighted empirical likelihood ratio confidence intervals for quantiles
bootstrap doubly censored data empirical likelihood interval censored data partly interval censored data right censored data
2015/12/11
Thus far, likelihood-based interval estimates for quantiles have not been studied in the literature on interval censored case 2 data and partly interval censored data, and, in this context, the use of...
Fractal dimension confidence interval estimation of epicentral distributions
correlation dimension confidence interval seismicity
2015/9/30
Estimates of the fractal dimension of hypocentral distributions require evaluating the range of independent variables in which fractal parameters exhibit a power law. Systematic and accidental errors ...
Comments on "Confidence distribution, the frequentist distribution estimator of a parameter --- a review" by Min-ge Xie and Kesar Singh
the frequentist distribution estimator parameter Min-ge Xie Kesar Singh Statistics Theory
2012/6/29
This note is a discussion of the paper "Confidence distribution" by Min-ge Xie and Kesar Singh, to appear in the International Statistical Review.
Monotonicity in the Sample Size of the Length of Classical Confidence Intervals
Gamma function Location and scale parameters Stochastic monotonicity
2012/3/1
It is proved that the average length of standard confidence intervals for parameters of gamma and normal distributions monotonically decrease with the sample size. The proofs are based on fine propert...
Calculating a confidence interval on the sum of binned leakage
confidence interval, likelihood ratio, binomial distribution
2011/9/9
Calculating the expected number of misclassified outcomes is a standard problem of particular interest for rare-event searches. The Clopper-Pearson method
allows calculation of classical confidence i...
Likelihood based observability analysis and confidence intervals for predictions of dynamic models
Likelihood observability analysis confidence intervals predictions Statistics and Probability
2011/8/1
Abstract: Mechanistic dynamic models of biochemical networks such as Ordinary Differential Equations (ODEs) contain unknown parameters like the reaction rate constants and the initial concentrations o...
A Model of Opinion Dynamics with Bounded Confidence and Noise
Bounded Confidence Noise Model of Opinion Dynamics ME numerical integration analysis
2011/7/5
This paper introduces a new model of continuous opinion dynamics with
random noise. The model belongs to the broad class of so called bounded
confidence models. It differs from other popular bounded...
A Model of Opinion Dynamics with Bounded Confidence and Noise
Opinion Dynamics Bounded Confidence Noise
2011/7/20
This paper introduces a new model of continuous opinion dynamics with random noise. The model belongs to the broad class of so called bounded confidence models. It differs from other popular bounded c...
The problem of filtering of finite–alphabet stationary ergodic time series is considered. A method for constructing a confidence set for the (unknown) signal is proposed.
Empirical estimation of entropy functionals with confidence
Empirical estimation of entropy functionals confidence
2011/2/23
Nonparametric estimation of functionals of density from nite number of samples is an important tool in domains such as statistics, signal processing and machine learning.While several estimators have...
Confidence interval for the difference of two normal population means with a known ratio of variances
Coverage probability Expected length
2010/9/20
Motivated by the recent work of Schechtman and Sherman [The twosample t-test with a known ratio of variances. Statistical Methodology 4, 508-514, (2007).], we investigate, in this paper, a new exact c...
Large-scale interval and point estimates from an empirical Bayes extension of confidence posteriors
Large-scale interval point estimates empirical Bayes extension confidence posteriors
2011/3/4
In statistical genomics, bioinformatics, and neuroinformatics, truth values of multiple
hypotheses are often modeled as random quantities of a common mixture distribution in order to estimate false d...
Large-scale interval and point estimates from an empirical Bayes extension of confidence posteriors
Large-scale interval point estimates empirical Bayes extension
2011/1/6
The proposed approach extends the confidence posterior distribution to the semi-parametric empirical Bayes setting. Whereas the Bayesian posterior is defined in terms of a prior distribution condition...
The problem of filtering of finite--alphabet stationary ergodic time series is considered. A method for constructing a confidence set for the (unknown) signal is proposed, such that the resulting set ...
Large-scale interval and point estimates from an empirical Bayes extension of confidence posteriors
Large-scale interval point estimates empirical Bayes
2011/1/4
The proposed approach extends the confidence posterior distribution to the semi-parametric empirical Bayes setting. Whereas the Bayesian posterior is defined in terms of a prior distribution condition...