{"product_id":"9783031644337","title":"Methodological and Applied Statistics and Demography III : SIS 2024, Short Papers, Contributed Sessions 1 (Italian Statistical Society Series on Advances in Statistics)","description":"\u003cp\u003eThis book of peer-reviewed short papers on methodological and applied statistics and demography is the third of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024), held in Bari, Italy, on June 17-20, 2024. It features the first part of the contributions presented in the Contributed Sessions.\u003c\/p\u003e\u003cp\u003eThe volumes address a large number of topics and applications of current interest. The topics covered include, but are not limited to, statistical theory and methods, sampling theory, Bayesian statistics, statistical modeling, computational statistics, classification, data analysis, gender statistics and applied statistics. The applications reflect new analyses in a wide variety of fields, including demography, psychometrics, education, business, economics, finance, law, and other social sciences and humanities, epidemiology, the life and health sciences as well as the environmental and natural sciences and engineering. This variety also demonstrates the important role of statistical science in addressing the societal and environmental challenges of sustainable development.\u003c\/p\u003e\u003cp\u003eOne of the aims of the Italian Statistical Society (SIS) is to promote scientific activities for the development of statistical sciences. Its biennial international Scientific Meeting represents the Society's largest event which brings together national and international researchers and professionals to exchange ideas and discuss recent advances and developments in theoretical and applied statistics.\u003c\/p\u003e \u003cp\u003ePreface.- Contributed Sessions.- Efficient Bayesian estimation of spatial Poisson auto-regression with Leroux random effects.- Approximate Inference for the Bayesian Discrepancy Measure for Precise Statistical Hypotheses.- Generalized Additive Mixed Models in medicine a case study on LDL cholesterol in people living with HIV under different antiretroviral regimens.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eAlessio Pollice\u003c\/strong\u003e is a Full Professor of Statistics at the Department of Economics and Finance at the University of Bari Aldo Moro, Italy.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePaolo Mariani\u003c\/strong\u003e is a Full Professor of Economic Statistics at the Department of Economics, Management and Statistics, University of Milano-Bicocca, Italy.\u003c\/p\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49140569735403,"sku":"00000_00000_00000_00000","price":457.78,"currency_code":"SGD","in_stock":false}],"url":"https:\/\/kinokuniya.com.sg\/ja\/products\/9783031644337","provider":"Books Kinokuniya Singapore","version":"1.0","type":"link"}