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Titlebook: Information Geometry; Near Randomness and Khadiga A. Arwini,Christopher T. J. Dodson Book 2008 Springer-Verlag Berlin Heidelberg 2008 Clus

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e to addressing the structural causes that provoked fatal accidents at the Tanzeer Factory (December 2012) and Rana Plaza (April 2013). These tragedies have placed Bangladesh’s garments industry under serious scrutiny by the international community as represented by institutional and nongovernmental
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Mathematical Statistics and Information Theory,eg [31, 161]) and information theory (eg [175, 176]); here we just outline some topics to help make the sequel more self contained. For those who have access to the computer algebra package . [215], the approach to mathematical statistics and accompanying software in Rose and Smith [177] will be par
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Information Geometry of Bivariate Families,ty functions. They have marginal density functions that are gamma density functions, exponential density functions and Gaussian density functions. These are used for applications in the sequel, when we have two random variables that have non-zero covariance—such as will arise for a coupled pair of r
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Neighbourhoods of Poisson Randomness, Independence, and Uniformity, process §1.1.3 whereas formally in statistics, the term random has a more general meaning: probabilistic, that is dependent on random variables. When we speak of neighbourhoods of randomness we shall mean neighbourhoods of a Poisson process and then the neighbourhoods contain perturbations of the P
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Amino Acid Clustering,chains. Clearly, there are some features that have localized deterministic origin from the geometrical organization of the helices; other features seem to be of a more stochastic character with a degree of stability persisting over long sequences that approximates to stationarity. These latter featu
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