Modern prediction methods : new perspectives on a common problem
Dan J. Putka, Adam S. Beatty, and Matthew C. Reeder
| Year of publication: |
July 2018
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|---|---|
| Authors: | Putka, Dan J. ; Beatty, Adam S. ; Reeder, Matthew C. |
| Published in: |
Organizational research methods : ORM. - Thousand Oaks, Calif. [u.a] : Sage, ISSN 1094-4281, ZDB-ID 1427023-7. - Vol. 21.2018, 3, p. 689-732
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| Subject: | prediction | lasso | least angle regression | elastic nets | classification and regression trees | bagged trees | random forests | gradient boosted trees | support vector machines | bagging | boosting | bias-variance tradeoff | cross-validation | model tuning | biodata | Prognoseverfahren | Forecasting model | Regressionsanalyse | Regression analysis | Mustererkennung | Pattern recognition | Entscheidungsbaum | Decision tree | Schätztheorie | Estimation theory | Clusteranalyse | Cluster analysis | Forstwirtschaft | Forestry | Künstliche Intelligenz | Artificial intelligence |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1177/1094428117697041 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011880167