„Count regression model“
Suchergebnisse
163 Treffer
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Testing for zero-modification in count regression models
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Empirical Study of Intraday Option Price Changes using extended Count Regression Models
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'Single-Shot'-Antibiotika-Prophylaxe in der Thoraxchirurgie – Klinische Untersuchung zur Effizienz mit besonderer Berücksichtigung der Auswirkungen auf das Merkmal 'INFILTRAT' im Thorax-Röntgenbild
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'Single-Shot'-Antibiotika-Prophylaxe in der Thoraxchirurgie – klinische Untersuchung zur Effizienz mit besonderer Berücksichtigung der Auswirkungen auf das Merkmal 'INFILTRAT' im Thorax-Röntgenbild
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Application of two level count regression modeling on the determinants of fertility among married women in Ethiopia
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Survival and event history analysis – a process point of view
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Modeling zero‐inflated count data when exposure varies: With an application to tumor counts
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Evaluating Bayesian Radiocarbon‐dated Event Count (REC) models for the study of long‐term human and environmental processes
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Quantile regression for count data: jittering versus regression coefficients modelling in the analysis of credits earned by university students after remote teaching
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Probabilistic Frontier Regression Models for Count Type Output Data
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Zero‐inflated regression models for radiation‐induced chromosome aberration data: A comparative study
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Multiple inflated negative binomial regression for correlated multivariate count data
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Logistic regression analysis to predict mortality risk in COVID-19 patients from routine hematologic parameters
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Influencing factors of multiple adverse outcomes among schizophrenia patients using count regression models: a cross-sectional study
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Antibiotic resistances in livestock: a comparative approach to identify an appropriate regression model for count data
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Investigating factors associated with the number of rehospitalizations among patients with schizophrenia disorder using penalized count regression models
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Medium-and high-tech export and renewable energy consumption: Non-linear evidence from the ASEAN countries
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Copula-based bivariate finite mixture regression models with an application for insurance claim count data
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Presentation of regression analysis, GP and GMDH models to predict the pedestrian density in various urban facilities
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Bayesian interval mapping of count trait loci based on zero‐inflated generalized Poisson regression model