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Search: isPartOf:"Applied Stochastic Models in Business and Industry"
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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
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Applied stochastic models in business and industry
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191
MCMC calibration of spot‐prices models in electricity markets
Guerini, Alice
;
Marziali, Andrea
;
De Nicolao, Giuseppe
- In:
Applied Stochastic Models in Business and Industry
36
(
2019
)
1
,
pp. 62-76
Persistent link: https://www.econbiz.de/10012272482
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192
Variable sampling interval Shewhart control charts for monitoring the multivariate coefficient of variation
Nguyen, Quoc Thong
;
Kim Phuc Tran
;
Heuchenne, Henri L.
; …
- In:
Applied Stochastic Models in Business and Industry
35
(
2019
)
5
,
pp. 1253-1268
Persistent link: https://www.econbiz.de/10012272483
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193
Radial basis neural tree model for improving waste recovery process in a paper industry
Chakraborty, Tanujit
;
Chattopadhyay, Swarup
; …
- In:
Applied Stochastic Models in Business and Industry
36
(
2019
)
1
,
pp. 49-61
Persistent link: https://www.econbiz.de/10012272484
Saved in:
194
Semiparametric modeling of the spatiotemporal trends in natural gas consumption : Methodology, results, and consequences
Brabec, Marek
;
Konár, Ondřej
;
Kasanický, Ivan
; …
- In:
Applied Stochastic Models in Business and Industry
36
(
2019
)
1
,
pp. 184-194
Persistent link: https://www.econbiz.de/10012272485
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195
An algorithm to solve a quantile optimization problem with loss function having a separable structure, and its application to an aerospace problem
Ivanov, S.V.
;
Kibzun, A.I.
;
Stepanova, A.S.
- In:
Applied Stochastic Models in Business and Industry
35
(
2019
)
5
,
pp. 1269-1281
Persistent link: https://www.econbiz.de/10012272486
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196
Conditionally Gaussian random sequences for an integrated variance estimator with correlation between noise and returns
Peluso, Stefano
;
Mira, Antonietta
;
Muliere, Pietro
- In:
Applied Stochastic Models in Business and Industry
35
(
2019
)
5
,
pp. 1282-1297
Persistent link: https://www.econbiz.de/10012272487
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197
Predicting ships' CO<sub>2</sub>emissions using feature‐oriented methods
Reis, Marco P. Seabra dos
;
Rendall, Ricardo
;
Palumbo, Biagio
- In:
Applied Stochastic Models in Business and Industry
36
(
2019
)
1
,
pp. 110-123
Persistent link: https://www.econbiz.de/10012272488
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198
Vector error correction models to measure connectedness of Bitcoin exchange markets
Giudici, Paolo
;
Pagnottoni, Paolo
- In:
Applied Stochastic Models in Business and Industry
36
(
2019
)
1
,
pp. 95-109
Persistent link: https://www.econbiz.de/10012272489
Saved in:
199
Quantile forecasting based on a bivariate hysteretic autoregressive model with GARCH errors and time ‐varying correlations
Chen, Cathy W. S.
;
Than‐Thi, Hong
;
So, Mike Ka-pui
; …
- In:
Applied Stochastic Models in Business and Industry
35
(
2019
)
6
,
pp. 1301-1321
Persistent link: https://www.econbiz.de/10012272490
Saved in:
200
Weak signal detection in SPC
Dohnal, Gejza
- In:
Applied Stochastic Models in Business and Industry
36
(
2019
)
2
,
pp. 225-236
Persistent link: https://www.econbiz.de/10012272491
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