Response to Detection Limit and Statistical Results

STATISTICAL METHODS FOR EVALUATING BIOMARKERS SUBJECT TO DETECTION LIMIT by

Determination of a Statistical Model to Predict COD and TKN from the BOD5 and NH4+ Results

Introduction: The development of an appropriate model for the quality control of an industrial wastewater treatment system can save the time as well as the cost. This study was performed to determine an appropriate model in order to predict the COD and TKN parameters by BOD5 and NH4+ in the Meybod industrial estate wastewater treatment plant (WWTP).  Materials and Methods: This descriptiv...

Some New Results on Policy Limit Allocations

Suppose that a policyholder faces $n$ risks X1, ..., Xn which are insured under the policy limit with the total limit of l. Usually, the policyholder is asked to protect each Xi with an arbitrary limit of li such that ∑ni=1li=l. If the risks are independent and identically distributed with log-concave cumulative distribution function, using the notions of majorization and stochastic orderings, ...

Optimized acquisition parameters and statistical detection limit in quantitative EELS.

Optimizing the acquisition parameters for EELS recording has to be accomplished simultaneously from the physical and the statistical points of view; the statistical aspect of the question is covered here. Approximate probability density functions of the variables of interest are derived, which provide a global measure of signal-to-noise ratio taking into account every step of the EELS edge area...

Statistical Approaches to DDoS Attack Detection and Response

The nature of the threats posed by Distributed Denial of Service (DDoS) attacks on large networks, such as the Internet, demands effective detection and response methods. These methods must be deployed not only at the edge but also at the core of the network. This paper presents methods to identify DDoS attacks by computing entropy and frequency-sorted distributions of selected packet attribute...