نتایج جستجو برای: error probabilities

تعداد نتایج: 291823  

Journal: :Int. J. Approx. Reasoning 2007
Daniel Berleant Martine Ceberio Gang Xiang Vladik Kreinovich

The traditional engineering approach to error estimation assumes that we know the probabilities of different values of measurement error ∆xi def = e xi − xi. Yet in many practical situations, we only know the upper bound ∆i for this error. Hence after the measurement, the only information that we have about xi is that it belongs to the interval xi def = [e xi−∆i, e xi+∆i]. In this case, we have...

2017
Marcia Viviane Rückbeil Ralf-Dieter Hilgers Nicole Heussen

If past treatment assignments are unmasked, selection bias may arise even in randomized controlled trials. The impact of such bias can be measured by considering the type I error probability. In case of a normally distributed outcome, there already exists a model accounting for selection bias that permits calculating the corresponding type I error probabilities. To model selection bias for tria...

2013
P. BARALDI Z. Nivolianitou

In Human Reliability Analysis (HRA) methods, the estimation of Human Error Probabilities (HEPs) usually requires the assessment of the Performance Shaping Factors (PSFs) characterizing the given contextual scenario in which the tasks are performed. The objective of this work is to develop a visual interface to help the safety analysts in the PSFs assessment. Aiming at the increased repeatabilit...

2003
Stephan Rein Frank H.P. Fitzek

Robust Header Compression (ROHC) has recently been proposed to reduce the large protocol header overhead when transmitting voice and other continous media over RTP/ UDP/IP in wireless networks. In this paper we evaluate the transmission of Global System Mobile telecommunications (GSM) encoded voice with ROHC over a wireless link. We evaluate the bandwidth savings and the voice qualities using a...

2005
Taisuke Otsu

This paper proposes large deviation optimal properties of the empirical likelihood testing (ELT) moment selection procedures for moment restriction models. Since the parameter spaces of the moment selection problem is discrete, the conventional Pitman-type local alternative approach is not very helpful. By applying the theory of large deviations, we analyze convergence rates of the error probab...

2003
Stephan Rein Frank H.P. Fitzek Martin Reisslein

Robust Header Compression (ROHC) has recently been proposed to reduce the large protocol header overhead when transmitting voice and other continous media over RTP/UDP/IP in wireless networks. In this paper we evaluate the transmission of Global System Mobile telecommunications (GSM) encoded voice with ROHC over a wireless link. We evaluate the bandwidth savings and the voice qualities using a ...

Journal: :Statistics in medicine 2011
S Sivaganesan Purushottam W Laud Peter Müller

We introduce a new approach to inference for subgroups in clinical trials. We use Bayesian model selection, and a threshold on posterior model probabilities to identify subgroup effects for reporting. For each covariate of interest, we define a separate class of models, and use the posterior probability associated with each model and the threshold to determine the existence of a subgroup effect...

Journal: :Social Science Research Network 2022

Eliciting risk preferences usually involves tasks that subjects may find complex, such as calculations of expected values and assessment probabilities in multiple price lists (MPL). There is a serious concern the decisions be driven by miscalculations or miscalibration probabilities, rather than their preferences. In this paper, we test whether introducing aids to usual lottery choiceswould hel...

2015
Ying-Ying Lee

Allowing for misspecification in the linear conditional quantile function, this paper provides a new interpretation and the semiparametric efficiency bound for the quantile regression parameter β(τ) in Koenker and Bassett (1978). The first result on interpretation shows that under a mean-squared loss function, the probability limit of the Koenker–Bassett estimator minimizes a weighted distribut...

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