The goal of GFSNP2019 is to bring together all the researchers working in various fields of Mathematics, Mathematical Physics-Engineering and related areas such as Analysis, Non-linear Analysis, Integral transforms, Number Theory, p-adic Analysis and Applied Algebra, Special Functions, q-analysis and Discrete Mathematics, Probability and Statistics, Mathematical Physics, Mathematical modeling and their applications. Our main aim is also to bring together theoretical, numerical and apply analyst, number theorists, (quantum) physicist working in the areas of generating functions of the special numbers and polynomials and their applications. All of the participants will likely lead to significant uncover new connections on these fields which are special numbers and polynomials, and also the family of zeta functions and L-functions.
In recent years, statistical models and techniques for discrete data analysis have advanced significantly in a wide range of research areas. Even when the phenomenon of interest is theoretically continuous, but its observed values are registered as discrete (just think of the lifetime of many devices in industry, when one observes the number of cycles completed before failure), it is more appropriate to adopt a discrete model derived as an analog of the hypothesized continuous distribution, preserving one or more of its features. This session is open to all contributions on statistical analysis of discrete data, with a particular focus on discrete counterparts of univariate and multivariate continuous distributions and their reliability and dependence properties.
deadline for submission of extended abstract, to be published in AIP (indexed in Scopus): 26 July 2019
abstract submission: http://www.icnaam.org/abstracts
contact: alessandro dot barbiero at unimi dot it
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