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Search: isPartOf:"Applied Stochastic Models in Business and Industry"
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Finkelstein, Maxim
7
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Cha, Ji Hwan
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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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Parameter change test for location‐scale time series models with heteroscedasticity based on bootstrap
Oh, Haejune
;
Lee, Sangyeol
- In:
Applied Stochastic Models in Business and Industry
35
(
2019
)
6
,
pp. 1322-1343
Persistent link: https://www.econbiz.de/10012272492
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202
Portfolio selection for individual passive investing
Puelz, David
;
Hahn, P. Richard
;
Carvalho, Carlos M.
- In:
Applied Stochastic Models in Business and Industry
36
(
2019
)
1
,
pp. 124-142
Persistent link: https://www.econbiz.de/10012272493
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203
Stochastic modeling of quality of systems operating in a heterogeneous environment
Cha, Ji Hwan
;
Finkelstein, Maxim
- In:
Applied Stochastic Models in Business and Industry
35
(
2019
)
6
,
pp. 1344-1365
Persistent link: https://www.econbiz.de/10012272494
Saved in:
204
An optimal switching approach toward cost‐effective control of a stand‐alone photovoltaic panel system under stochastic environment
Yoshioka, Hidekazu
;
Li, Zhi
;
Yano, Akira
- In:
Applied Stochastic Models in Business and Industry
35
(
2019
)
6
,
pp. 1366-1389
Persistent link: https://www.econbiz.de/10012272495
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205
Bayesian nonparametric estimation of first passage distributions in semi‐Markov processes
Warr, Richard L.
;
Woodfield, Travis B.
- In:
Applied Stochastic Models in Business and Industry
36
(
2019
)
2
,
pp. 237-250
Persistent link: https://www.econbiz.de/10012272496
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206
Cyber vulnerability maintenance policies that address the incomplete nature of inspection
Liu, Enhao
;
Allen, Theodore T.
;
Roychowdhury, Sayak
- In:
Applied Stochastic Models in Business and Industry
35
(
2019
)
6
,
pp. 1390-1410
Persistent link: https://www.econbiz.de/10012272497
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207
A review of data science in business and industry and a future view
Vicario, Grazia
;
Coleman, Shirley
- In:
Applied Stochastic Models in Business and Industry
36
(
2019
)
1
,
pp. 6-18
Persistent link: https://www.econbiz.de/10012272498
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208
Using degradation models to assess pipeline life
Tian, Qinglong
;
Liu, Shiyao
;
Meeker, William Q.
- In:
Applied Stochastic Models in Business and Industry
35
(
2019
)
6
,
pp. 1411-1430
Persistent link: https://www.econbiz.de/10012272499
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209
On designing experiments for a dynamic response modeled by regression splines
Pan, Rong
;
Saleh, Moein
- In:
Applied Stochastic Models in Business and Industry
36
(
2019
)
2
,
pp. 251-267
Persistent link: https://www.econbiz.de/10012272500
Saved in:
210
Filter‐based portfolio strategies in an HMM setting with varying correlation parametrizations
Erlwein‐Sayer, Christina
;
Grimm, Stefanie
; …
- In:
Applied Stochastic Models in Business and Industry
36
(
2019
)
3
,
pp. 307-334
Persistent link: https://www.econbiz.de/10012272501
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