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Finkelstein, Maxim
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International Symposium on Business and Industrial Statistics <6, 2007, Ponta Delgada>
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Applied Stochastic Models in Business and Industry
300
Applied stochastic models in business and industry
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Discussion of “A review of data science in business and industry and a future view” by Grazia Vicario and Shirley Coleman
Ferrer, Alberto
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
1
,
pp. 23-29
Persistent link: https://www.econbiz.de/10012272526
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72
General framework for testing Poisson‐Voronoi assumption for real microstructures
Vittorietti, Martina
;
Kok, Piet J. J.
;
Sietsma, Jilt
; …
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
4
,
pp. 604-627
Persistent link: https://www.econbiz.de/10012272527
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73
Deep learning for energy markets
Polson, Michael
;
Sokolov, Vadim
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
1
,
pp. 195-209
Persistent link: https://www.econbiz.de/10012272528
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74
Bayesian optimal life‐testing plan under the balanced two sample type‐II progressive censoring scheme
Mondal, Shuvashree
;
Bhattacharya, Ritwik
;
Pradhan, …
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
4
,
pp. 628-640
Persistent link: https://www.econbiz.de/10012272529
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75
Generalized discrete autoregressive moving‐average models
Möller, Tobias A.
;
Weiß, Christian
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
4
,
pp. 641-659
Persistent link: https://www.econbiz.de/10012272530
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76
Tolerance intervals for autoregressive models, with an application to hospital waiting lists
Cheng, Kedai
;
Young, Derek S.
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
2
,
pp. 268-282
Persistent link: https://www.econbiz.de/10012272531
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77
Bayesian estimation and prediction for the transformed Wiener degradation process
Giorgio, Massimiliano
;
Postiglione, Fabio
;
Pulcini, …
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
4
,
pp. 660-678
Persistent link: https://www.econbiz.de/10012272532
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78
On‐site surrogates for large‐scale calibration
Huang, Jiangeng
;
Gramacy, Robert B.
;
Binois, Mickaël
; …
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
2
,
pp. 283-304
Persistent link: https://www.econbiz.de/10012272533
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79
Leaders and followers in mutual funds : A dynamic Bayesian approach
Andreu, Laura
;
Sarto, José L.
;
Gargallo, Pilar
; …
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
4
,
pp. 679-695
Persistent link: https://www.econbiz.de/10012272534
Saved in:
80
Control charts based on randomized quantile residuals
Park, Kayoung
;
Jung, Dongmin
;
Kim, Jong‐Min
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
4
,
pp. 716-729
Persistent link: https://www.econbiz.de/10012272535
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