Bayesian hierarchical models to analyze customer satisfaction data for quality improvement: a case study

2011 ◽  
Vol 28 (6) ◽  
pp. 571-584 ◽  
Author(s):  
Mauro Gasparini ◽  
Franco Pellerey ◽  
Mauro Proietti
Keyword(s):  
Quality Improvement ◽  
Customer Satisfaction ◽  
Hierarchical Models ◽  
Bayesian Hierarchical Models ◽  
Bayesian Hierarchical

scholarly journals Detection of fish movement patterns across management unit boundaries using age-structured Bayesian hierarchical models with tag-recovery data

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243423
Author(s):  
Rujia Bi ◽  
Can Zhou ◽  
Yan Jiao
Keyword(s):  
Hierarchical Models ◽  
Yellow Perch ◽  
Movement Pattern ◽  
Bayesian Hierarchical Models ◽  
Central Basin ◽  
Western Basin ◽  
Bayesian Hierarchical ◽  
Small Model ◽  
Age Structured

Tagging studies have been widely conducted to investigate the movement pattern of wild fish populations. In this study, we present a set of length-based, age-structured Bayesian hierarchical models to explore variabilities and uncertainties in modeling tag-recovery data. These models fully incorporate uncertainties in age classifications of tagged fish based on length and uncertainties in estimated population structure. Results of a tagging experiment conducted by the Ontario Ministry of Natural Resources and Forestry (OMNRF) on yellow perch in Lake Erie was analyzed as a case study. A total of 13,694 yellow perch were tagged with PIT tags from 2009 to 2015; 322 of these were recaptured in the Ontario commercial gillnet fishery and recorded by OMNRF personnel. Different movement configurations modeling the tag-recovery data were compared, and all configurations revealed that yellow perch individuals in the western basin (MU1) exhibited relatively strong site fidelity, and individuals from the central basin (MU2 and MU3) moved within this basin, but their movements to the western basin (MU1) appeared small. Model with random effects of year and age on movement had the best performance, indicating variations in movement of yellow perch across the lake among years and age classes. This kind of model is applicable to other tagging studies to explore temporal and age-class variations while incorporating uncertainties in age classification.

Bayesian Hierarchical Models to Augment the Mediterranean Forecast System

2008 ◽  
Author(s):  
Ralph F. Milliff ◽  
Mark Berliner ◽  
Emanuele D. Lorenzo ◽  
Christopher K. Wikle
Keyword(s):  
Hierarchical Models ◽  
Bayesian Hierarchical Models ◽  
Forecast System ◽  
Bayesian Hierarchical ◽  
The Mediterranean

Bayesian Hierarchical Models to Augment the Mediterranean Forecast System

2010 ◽  
Author(s):  
Christopher K. Wikle ◽  
L. M. Berliner ◽  
Emanuele Di Lorenzo ◽  
Ralph F. Milliff
Keyword(s):  
Hierarchical Models ◽  
Bayesian Hierarchical Models ◽  
Forecast System ◽  
Bayesian Hierarchical ◽  
The Mediterranean

Bayesian Hierarchical Models to Augment the Mediterranean Forecast System

2010 ◽  
Author(s):  
Ralph F. Milliff ◽  
Christopher K. Wikle ◽  
L. M. Berliner ◽  
Emanuele Di Lorenzo
Keyword(s):  
Hierarchical Models ◽  
Bayesian Hierarchical Models ◽  
Forecast System ◽  
Bayesian Hierarchical ◽  
The Mediterranean

scholarly journals Individual differences in social information gathering revealed through Bayesian hierarchical models

2013 ◽  
Vol 7 ◽  
Author(s):  
John M. Pearson ◽  
Karli K. Watson ◽  
Jeffrey T. Klein ◽  
R. Becket Ebitz ◽  
Michael L. Platt
Keyword(s):  
Individual Differences ◽  
Hierarchical Models ◽  
Social Information ◽  
Bayesian Hierarchical Models ◽  
Information Gathering ◽  
Bayesian Hierarchical
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