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~language:"eng"
~person:"Law, Chun Hung Roberts"
~subject:"Prognoseverfahren"
~subject:"Quality management"
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Prognoseverfahren
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Law, Chun Hung Roberts
Song, Haiyan
32
Babai, M. Zied
20
Antony, Jiju
18
Li, Gang
15
Syntetos, Aris A.
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Journal of travel research : a quarterly publication of the Travel and Tourism Research Association
2
Tourism management : research, policies, practice
2
Tourism economics : the business and finance of tourism and recreation
1
Tourism management perspectives : TMP
1
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1
Forecasting tourism demand with composite search index
Li, Xin
;
Pan, Bing
;
Law, Chun Hung Roberts
;
Huang, Xiankai
- In:
Tourism management : research, policies, practice
59
(
2017
),
pp. 57-66
Persistent link: https://www.econbiz.de/10011642556
Saved in:
2
Forecasting tourism demand with decomposed search cycles
Li, Xin
;
Law, Chun Hung Roberts
- In:
Journal of travel research : a quarterly publication of …
59
(
2020
)
1
,
pp. 52-68
Persistent link: https://www.econbiz.de/10012151282
Saved in:
3
Tourism demand forecasting : a decomposed deep learning approach
Zhang, Yishuo
;
Li, Gang
;
Muskat, Birgit
;
Law, Chun Hung …
- In:
Journal of travel research : a quarterly publication of …
60
(
2021
)
5
,
pp. 981-997
Persistent link: https://www.econbiz.de/10012593178
Saved in:
4
A hybrid MIDAS approach for forecasting hotel demand using large panels of search data
Zhang, Binru
;
Li, Nao
;
Law, Chun Hung Roberts
;
Liu, Heng
- In:
Tourism economics : the business and finance of tourism …
28
(
2022
)
7
,
pp. 1823-1847
Persistent link: https://www.econbiz.de/10013473794
Saved in:
5
Diverse feature extraction techniques in internet search query to forecast tourism demand : an in-depth comparison
Hu, Tao
;
Wang, Haiyan
;
Law, Chun Hung Roberts
;
Geng, Juan
- In:
Tourism management perspectives : TMP
47
(
2023
),
pp. 1-14
Persistent link: https://www.econbiz.de/10014318813
Saved in:
6
Tourism demand forecasting using tourist-generated online review data
Hu, Mingming
;
Li, Hengyun
;
Song, Haiyan
;
Li, Xin
;
Law, …
- In:
Tourism management : research, policies, practice
90
(
2022
),
pp. 1-19
Persistent link: https://www.econbiz.de/10013326619
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