Search results for "62-07"

showing 2 items of 2 documents

Bayesian correlated models for assessing the prevalence of viruses in organic and non-organic agroecosystems

2017

Cultivation of horticultural species under organic management has increased in importance in recent years. However, the sustainability of this new production method needs to be supported by scientific research, especially in the field of virology. We studied the prevalence of three important virus diseases in agroecosystems with regard to its management system: organic versus non-organic, with and without greenhouse. Prevalence was assessed by means of a Bayesian correlated binary model which connects the risk of infection of each virus within the same plot and was defined in terms of a logit generalized linear mixed model (GLMM). Model robustness was checked through a sensitivity analysis …

Hellinger distancesensitivity analysisHellinger distance model robustness risk infection sensitivity analysis virus epidemiology:Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC]:62 Statistics::62F Parametric inference [Classificació AMS]:62 Statistics::62J Linear inference regression [Classificació AMS]model robustnessvirus epidemiology:62 Statistics::62P Applications [Classificació AMS]62-07 62F15 62J12 62P10 62P12risk infectionSORT- Statistics and Operations Research Transactions
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Survey data and Bayesian analysis: a cost-efficient way to estimate customer equity

2014

We present a Bayesian framework for estimating the customer lifetime value (CLV) and the customer equity (CE) based on the purchasing behavior deducible from the market surveys on customer purchasing behavior. The proposed framework systematically addresses the challenges faced when the future value of customers is estimated based on survey data. The scarcity of the survey data and the sampling variance are countered by utilizing the prior information and quantifying the uncertainty of the CE and CLV estimates by posterior distributions. Furthermore, information on the purchase behavior of the customers of competitors available in the survey data is integrated to the framework. The introduc…

J.1FOS: Computer and information sciencesComputer sciencemedia_common.quotation_subjectEconomics Econometrics and Finance (miscellaneous)G.3Future valueCustomer relationship managementStatistics - ApplicationsScarcityFOS: Economics and businessEconometricscustomer equitysurveyApplications (stat.AP)media_commonMarketingbusiness.industry62N02 62-07 62F15Customer lifetime valueCompetitor analysisBayesian estimationPurchasingbrand switchingCustomer equitySurvey data collectioncustomer lifetime valueQuantitative Finance - General FinancebusinessGeneral Finance (q-fin.GN)G.3; J.1
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