Bayesian quantile regression and unsupervised learning methods to the US Army and Navy data
Jong-Min Kim, Chuwen Li, Il Do Ha
| Year of publication: |
2021
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|---|---|
| Authors: | Kim, Jong-Min ; Li, Chuwen ; Ha, Il Do |
| Published in: |
International journal of productivity and quality management : IJPQM. - Olney, Bucks : Inderscience Enterprises, ISSN 1746-6482, ZDB-ID 2232968-7. - Vol. 32.2021, 1, p. 92-108
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| Subject: | generalised linear model | GLM | BayesQR | k-means | random forests | Theorie | Theory | Regressionsanalyse | Regression analysis | Bayes-Statistik | Bayesian inference | Militär | Armed forces |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1504/IJPQM.2021.112016 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012516411