The purpose of this study was to compare the performance of several methods for statistically analyzing censored datasets [i.e. datasets that contain measurements that are less than the field limit-of-detection (LOD)] when estimating the 95th percentile and the mean of right-skewed occupational exposure data. The methods examined were several variations on the maximum likelihood estimation (MLE...

Soil consolidation as the dissipation of excess pore water pressure is mainly affected by the relative hydraulic conductivity among the layers. Geostatistical parameters such as the mean, the standard deviation, and the correlation length are physical indicators for each sedimentation and formation history. The effects of spatial variability on the excessive pore water pressure dissipation duri...

Abstract: We introduce a sequential investment strategy, called semi-log-optimal strategy. This strategy is related to the log-optimal portfolio approach, where instead of logarithmic objective function its Taylor series approximation is used. The asymptotic rate of growth is analyzed under the only assumption that the market is stationary and ergodic. The performance of the strategy is compare...

If the standard deviation of distribution MIC values for a set wild-type isolates exceeds 1.18 log 2 μg/mL when calculated by NRI analysis or 1.11 ECOFFinder that data should be considered imprecise and not used to an epidemiological cut-off value.

OBJECTIVE To determine whether the standard deviation of nuchal translucency (NT) measurements has decreased over time and if so to revise the estimate and assess the effect of revising the estimate of the standard deviation on the performance of antenatal screening for Down's syndrome. SETTING Data from a routine antenatal screening programme for Down's syndrome comprising 106 affected and 2...

– We derive deviation inequalities from non-asymptotic bounds of the log-Laplace transform of a function of N random variables. We assume either that these random variables are independent or that they form a Markov chain. We assume also that the partial finite differences of order one and two of the function are suitably bounded, or more generally that they have some exponential moments. The e...

In this paper, the high-dimensional sparse linear regression model is considered, where the overall number of variables is larger than the number of observations. We investigate the L1 penalized least absolute deviation method. Different from most of other methods, the L1 penalized LAD method does not need any knowledge of standard deviation of the noises or any moment assumptions of the noises...

Quickly finding low-energy multicast routings is vital for a wireless system’s energy efficiency. Therefore, key aspects for heuristics for the minimum energy multicast problem (MEMP) are time complexity (measured in the numbers |V | and |A| of networking devices and their possible power assignments, respectively) and deviation from optimum. Following a center-oriented approach, we develop the ...

In this paper, the high-dimensional sparse linear regression model is considered, where the overall number of variables is larger than the number of observations. We investigate the L1 penalized least absolute deviation method. Different from most of other methods, the L1 penalized LAD method does not need any knowledge of standard deviation of the noises or any moment assumptions of the noises...

We investigate geometric and functional inequalities for the class of log-concave probability sequences. prove dilation measures on integers. A analogue this inequality is derived, giving large small deviation from a median, in terms modulus regularity. Our methods are independent interest, we find that log-affine sequences extreme points set belonging to half-space slice simplex. use result as...