By Anna Maria Paganoni, Piercesare Secchi
The publication is addressed to statisticians operating on the leading edge of the statistical research of advanced and excessive dimensional information and gives a large choice of statistical versions, desktop extensive tools and functions: community inference from the research of excessive dimensional info; new advancements for bootstrapping advanced info; regression research for measuring the downsize reputational threat; statistical equipment for examine at the human genome dynamics; inference in non-euclidean settings and for form information; Bayesian tools for reliability and the research of advanced info; methodological matters in utilizing administrative info for medical and epidemiological learn; regression types with differential regularization; geostatistical equipment for mobility research via cell phone information exploration. This quantity is the results of a cautious choice one of the contributions offered on the convention "S.Co.2013: complicated info modeling and computationally extensive equipment for estimation and prediction" held on the Politecnico di Milano, 2013. all of the papers released the following were conscientiously peer-reviewed.
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Additional resources for Advances in Complex Data Modeling and Computational Methods in Statistics
Y/ D aÂ 2 and cvY D aÂ 2 =aÂ D 1= a. y/ D 10, the population size is N D 600 and the total X of the auxiliary variable is set equal to 1,000. 25 Fig. y/ D 10, resulting at the different cvy levels in Table 1, used in the simulation. For both SRS and CPS, each scenario is characterized by the three simulation parameters: 1. sample size (n); 2. population variability (cvy ); 3. level of departure from the ideal integer-weights case, as simulated by the suitable toy example as summarized in Table 1.
In: Proceedings of Section on Survery Research Methods. American Statistical Association, pp. 4088–4099 (2012) Measuring Downsize Reputational Risk in the Oil & Gas Industry Marika Arena, Giovanni Azzone, Antonio Conte, Piercesare Secchi, and Simone Vantini 1 Introduction The issue of reputational risk has always attracted much attention from academics and practitioners, since reputation is generally considered a critical asset for a company [1, 2]. It influences the behavior of the company’s stakeholders from different points of view.
5, so to provide different situations where the two rounding methods might, at least theoretically, perform differently. A total of six modifications to N (three upwards and three downwards) are considered to this end for each sample size: f˙5; ˙8; ˙10g when n D 15, and f˙10; ˙15; ˙20g when n D 30. For what concerns CPS, an additive random noise on an increasing fraction of the k s is introduced. This procedure can be summarized as follows: 1. set the fraction p of inclusion probabilities to be perturbated (in this simulation study, p 2 f25 %; 50 %; 75 %; 100 %g); 2.