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Search: isPartOf:"Applied Stochastic Models in Business and Industry"
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Option pricing theory
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Finkelstein, Maxim
7
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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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61
Discussion of “A review of data science in business and industry and a future view,” by Grazia Vicario and Shirley Coleman
Secchi, Piercesare
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
1
,
pp. 33-35
Persistent link: https://www.econbiz.de/10012272516
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62
Control charts for monitoring ship operating conditions and CO 2 emissions based on scalar‐on‐function regression
Capezza, Christian
;
Lepore, Antonio
;
Menafoglio, Alessandra
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
3
,
pp. 477-500
Persistent link: https://www.econbiz.de/10012272517
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63
Interpoint distances : Applications, properties, and visualization
Modarres, Reza
;
Song, Yu
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
6
,
pp. 1147-1168
Persistent link: https://www.econbiz.de/10012272518
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64
Modeling and analysis of system reliability using phase‐type distribution closure properties
Alkaff, Abdullah
;
Qomarudin, Mochamad Nur
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
4
,
pp. 548-569
Persistent link: https://www.econbiz.de/10012272519
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65
Thoughts on Data Science in business and industry
Steinberg, David M.
;
Aronovich, Eddie
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
1
,
pp. 36-40
Persistent link: https://www.econbiz.de/10012272520
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66
Birnbaum‐Saunders autoregressive conditional range model applied to stock index data
Leão, Jeremias
;
Lopes, Erico
;
Leão, Themis
; …
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
4
,
pp. 570-585
Persistent link: https://www.econbiz.de/10012272521
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67
Optimization of maintenance policy under warranty length‐based demand with consideration of both manufacturer and buyer satisfaction
Salmasnia, Ali
;
Baratian, Maryam
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
4
,
pp. 586-603
Persistent link: https://www.econbiz.de/10012272522
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68
Foreword
Torelli, Nicola
;
Vicario, Grazia
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
1
,
pp. 3-5
Persistent link: https://www.econbiz.de/10012272523
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69
Discussion of “A review of data science in business and industry and a future view”
Torelli, Nicola
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
1
,
pp. 41-42
Persistent link: https://www.econbiz.de/10012272524
Saved in:
70
Rejoinder to the discussion of “A review of data science in business and industry and a future view by G. Vicario and S. Coleman”
Vicario, Grazia
;
Coleman, Shirley
- In:
Applied Stochastic Models in Business and Industry
36
(
2020
)
1
,
pp. 43-48
Persistent link: https://www.econbiz.de/10012272525
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