multivariate control charts such as hotelling`s t^ 2 and x^ 2 are commonly used for monitoring several related quality characteristics. these control charts use correlation structure that exists between quality characteristics in an attempt to improve monitoring. the purpose of this article is to discuss some issues related to the g chart proposed by levinson et al. [9] for detecting shifts in ...

Cycle-based signals are generally obtained through the automatic sensing of critical process variables during each repetitive operation cycle of a manufacturing process, and they thus contain a significant amount of information about the process condition. Increasing attention has been paid recently to the problem of effectively monitoring these signals as an aid to the detection of process cha...

Multivariate control charts such as Hotelling`s T^ 2 and X^ 2 are commonly used for monitoring several related quality characteristics. These control charts use correlation structure that exists between quality characteristics in an attempt to improve monitoring. The purpose of this article is to discuss some issues related to the G chart proposed by Levinson et al. [9] for detecting shifts in ...

Background: Malnutrition is considered a complicated public health issue and depends on multiple factors. Hygienic behavior related to orphan children’s growth, nutritional outcomes, sound health. The study’s aim was assess the hygiene behaviors status of students in Bangladesh. Methods: A descriptive cross-sectional quantitative study conducted three orphanage centers. total 120 respondents we...

The general quantum χ(2)-divergence has recently been introduced by Temme et al. [Temme K, Kastoryano M, Ruskai M, Wolf M, Verstrate F (2010) J Math Phys 51:122201] and applied to quantum channels (quantum Markov processes). The quantum χ(2)-divergence is not unique, as opposed to the classical χ(2)-divergence, but depends on the choice of quantum statistics. It was noticed that the elements in...

χ2 minimisation. The determination of parameters in fits to measured data is a standard task of data analysis. The standard method of least squares is often referred to as χ2 minimisation, which is a confusion in terminology; the minimum of the least squares sum follows often, but not always, the χ2 distribution. In “χ2 minimization” used in a wide range of applications from calorimeter calibra...

The random Fourier embedding methodology can be used to approximate the performance of non-linear kernel classifiers in linear time on the number of training examples. However, there still exists a non-trivial performance gap between the approximation and the nonlinear models, especially for the exponential χ kernel, one of the most powerful models for histograms. Based on analogies with Chebys...