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Density Functional Stock ...   (MathSource: Packages and Programs)
A probability Denisty Functional Transform(DFT) is created from the past years stock price chart and the day to day ratios of price magnitude to allow us to estimate ...
In clinical study, calculation for sample size is often done using the frequentist framework. However, several methods of calculation using the Bayesian framework have been ...
This paper is devoted to Bayesian analysis for semi-parametric proportional hazard models (also called Cox models). Independent observations are made, whose distributions are ...
Using experience to improve our knowledge of uncertain events is something we all do every day. The techniques of Bayesian inference provide a mathematical description of ...
Statistical formulary to use in Bachelor's degree program, with particular focus on professional studies. Includes basic formulas for Bayesian techniques, as well as for ...
Mathematica is unique in its integrated symbolic and numerical solving capacities. Prof. Phil Gregory states "..., the time required to develop and test programs with ...
An analysis of the wildcatter's problem, a prototypical problem, is described.
Purpose: This work aimed to improve breast screening program accuracy using automated classification. The goal was to determine if whole image features represented in the ...
Discriminant Analysis and ...   (Conference Proceedings)
Implementation of two methods of multivariate statistical analysis will be presented. In the first part on discriminant analysis (DA), the estimation of the statistical ...
The first volume, Geometry, Language and Strategy, extended the concepts of Game Theory, replacing static equilibrium with a deterministic dynamic theory. The first volume ...
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