This paper extends the methods of [10] in an attempt to handle non-standard problems in test analysis. The approach is based on a Bayesian framework where test characteristics are treated as random parameters for which ...

Detection of obstacles during navigation of a mobile robot is considered difficult due to varying nature in terms of size, shape and location of the obstacle as well as ambient light that interferes with infra-red (IR) ...

This study attempts to evaluate the consumers’ level of awareness and use of information provided on food labels. Three distinct consumer groups based on use of and level of importance assigned to various information printed ...

Decision trees are a popular technique in statistical data classification. They recursively partition the feature space into disjoint sub-regions until each sub-region becomes homogeneous with respect to a particular class. ...

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The nature of long-run co-movements in exchange rates is informative, since it permits participants at the foreign exchange market to gain excess profits from trades. This study examined the possible cointegration ...

In this paper, we consider the problem of estimating the median of a gamma distribution. We introduce a new point estimator based on an approximation that we derive for the median of a gamma distribution. We compare the ...