We present a method to assess the reliability of a material operating in a dynamic environment. The dynamic environment is represented as a sequence of shocks governed by a self-exciting point process. Different distribution models for the time-to-failure of the material are suggested. The case of a piecewise exponential model where a Cox’s model is integrated to take into account the effect of...

I. Clearance Methods:The concept of renal clearance was introduced as a way of expressing the relation between the excretion per unit time and the concentration in the plasma which is obviously an index of kidneys ability to clear the blood of any substance (1). Measurements of GFR are traditionally based on the renal clearance of a marker in plasma, expressed as the volume of plasma completely...

The paper updates the answer to the question: what precisely is the exchange rate regime that China has put into place since 2005, when it announced a move away from the dollar peg? Is it a basket anchor with the possibility of cumulatable daily appreciations, as was announced at the time? We apply to this question a new approach to estimating countries’ de facto exchange rate regimes, a synthe...

From tumor to tumor, there is a great variation in the proportion of cancer cells growing and making daughter cells that ultimately metastasize. The differential growth within a single tumor, however, has not been studied extensively and this may be helpful in predicting the aggressiveness of a particular cancer type. The estimation problem of tumor growth rates from several populations is stud...

There is a substantial literature on the estimation of error rate, or risk, for nonparametric classifiers. Error-rate estimation has at least two purposes: accurately describing the error rate, and estimating the tuning parameters that permit the error rate to be mininised. In the light of work on related problems in nonparametric statistics, it is attractive to argue that both problems admit t...

In this paper, we propose an algorithm for the estimation of exercise rate during a variety of exercises by using measurements from triaxial accelerometry. The algorithm involves the detection of the periodicity of the body’s accelerations, and the detected periods are then fused to form an estimate of exercise rate. Experimental results demonstrate that the algorithm is effective in different ...

In this article, we present a series of algorithms for estimating the data rate of a signal whose admissible data rates are integer base, integer powered multiples of a known basic data rate. These algorithms can be applied to the Electra radio currently used in the Deep Space Network (DSN), which employs data rates having the above relationship. The estimation is carried out in an autonomous s...

The relationship between liquid equivalent snowfall rate and visibility is investigated using data collected at the National Center for Atmospheric Research Marshall Snowfall Test Site during two winter field seasons and using theoretical relationships. The observational data include simultaneous liquid equivalent snowfall rate, crystal types, and both automated and manual visibility measuremen...

We address the problem of delay-constrained streaming ofmultimedia packets over dynamic bandwidth channels. Efficient streaming solutions generally rely on the knowledge of the channel bandwidth, in order to select the media packets to be transmitted, according to their sending time. However, the streaming server usually cannot have a perfect knowledge of the channel bandwidth, and important pa...

We present an application of a modified Kalman-Filter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is robust to background noise. A novel index of the underlying signal quality of respiratory signals is presented and then used to modify the noise covariance matrix of the KF which discounts the effect of noisy data. The signal qua...