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Predicting the performance of queues : a data analytic approach

Yang, Kum-khiong; Cayirli, Tugba; Low, Joyce M. W. - In: Computers & operations research : and their … 76 (2016), pp. 33-42

Persistent link: https://www.econbiz.de/10011582084

Incorporating data analytics in management accounting : a teaching case on cost estimation

Hesford, James W.; Pizzini, Mina; Turner, Michael J. - In: Issues in accounting education 39 (2024) 2, pp. 133-149

Persistent link: https://www.econbiz.de/10014536499

Algorithms for generalized clusterwise linear regression

Park, Young Woong; Jiang, Yan; Klabjan, Diego; … - In: INFORMS journal on computing : JOC 29 (2017) 2, pp. 301-317

Persistent link: https://www.econbiz.de/10011691196

Correcting misclassification bias in regression models with variables generated via data mining

Qiao, Mengke; Huang, Ke-Wei - In: Information systems research : ISR 32 (2021) 2, pp. 462-480

Persistent link: https://www.econbiz.de/10012599859

Knowledge based non-functional software distinguishing quality effort estimation using fuzzy use case point approach

Vijay, J. Frank - In: International journal of knowledge management studies : … 10 (2019) 1, pp. 21-32

Persistent link: https://www.econbiz.de/10012026439

Statistical Data Mining Procedures in Generalized Cox Regressions

Wei, Zhen - In: The Oxford handbook of credit derivatives. 2012

Persistent link: https://www.econbiz.de/10012882011

Mining big data using parsimonious factor and shrinkage methods

Kim, Hyun Hak; Swanson, Norman R. - 2013

A number of recent studies in the economics literature have focused on the usefulness of factor models in the context of prediction using "big data". In this paper, our over-arching question is whether such "big data" are useful for modelling low frequency macroeconomic variables such as...

Persistent link: https://www.econbiz.de/10009766687

Big data analytics : a new perspective

Chudik, Alexander; Kapetanios, George; Pesaran, M. Hashem - 2016

context of linear regression models, penalised regression has become the de facto benchmark technique used to trade off … number of advantages over the penalised regression methods: It is based on statistical inference and is therefore easier to …

Persistent link: https://www.econbiz.de/10011444508

Big data analytics : a new perspective

Chudik, Akexander; Kapetanios, George; Pesaran, M. Hashem - 2016

Persistent link: https://www.econbiz.de/10011455779

Estimating The Anomaly Base Rate

Chinco, Alexander M. - 2019

parameter in a penalized regression. We study trading-strategy performance to verify our estimation results. If you trade on two …

Persistent link: https://www.econbiz.de/10012480436