A generalized Statistical Complexity Measure (SCM) is a functional that characterizes the probability distribution P associated to the time series generated by a given dynamical system. It quantifies not only randomness but also the presence of correlational structures. We review here several ...
In this chapter, we show that the time complexity measure presented in Chapter 8 (Equation 8.8) and the approximate total assembly time of a product, as derived from Boothroyd and Dewhurst' DFA methodology [1], are highly correlated over a wide diversity of experiments. The chapter also shows...
Statistical complexity measure is a functional to characterize the probability distribution associated with the time series generated by a dynamical system. Therefore, it not only verifies the randomness but also describes the correlation structures of a given system. In recent years, a vast majority ...
We analyze experimental time series of intensity dropouts and quantify the complexity of the underlying dynamics employing two tools from information theory, namely, Shannon's entropy and the Martin, Plastino, and Rosso statistical complexity measure. These measures are computed using a method based ...
Please cite this article in press as: Ravishankar N, Sreekumaran Nair N, A tool to measure complexity in public health in- terventions: Its statistical properties and meta-regression approach to adjust it in meta-analysis, Clinical Epidemiology and Global Health (2015), http://dx.doi/10.1016...
Statistical Reasoning: Choosing and Checking the Ingredients, Inferences Based on a Measure of Statistical Evidence with Some Applications The features of a logically sound approach to a theory of statistical reasoning are discussed. A particular approach that satisfies these criteria is revie... AL Lu...
“What is to be sought in designs for the display of information is the clear portrayal of complexity. Not the complication of the simple; rather … the revelation of the complex.” - Edward R. Tufte{ggstatsplot} is an extension of {ggplot2} package for creating graphics with details ...
Maxwell did not know about the future Boltzmann's constant and its temperature relationship, but he knew that the term α2is a measure of the average velocity squared, and so of the average energy (mv2/ 2). Maxwell did know the factor of √π from the normal distribution of independent ...
For example, if we are just given one fixed function class F (and do not split it further into smaller sets Fi), the code length essentially depends on some complexity measure of F plus a term explaining how well f fits the given data. In this setting, one can prove learning bounds ...
complexity of viruses, here we use the strength on virus Richter scale34as a surrogate measure. Virus Richter scale indicates mortality from viruses, which implicitly includes several factors from how fast the virus mutates to how poor the public health provisions are. We use virus Richter scale...