Research of influence of sample size on normal information diffusion based on the Monte Carlo method: risk assessment for natural disasters-Reference-Cited by-同舟云学术

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Research of influence of sample size on normal information diffusion based on the Monte Carlo method: risk assessment for natural disasters

Published:2018-06-28 Issue:13 Volume:77 Page:
ISSN:1866-6280
Container-title:Environmental Earth Sciences
language:en
Short-container-title:Environ Earth Sci

Author:

Liu Jiafu,Li Shuai,Wu Jin,Liu Xiaojing,Zhang Jiquan

Funder

Ministry of Science and Technology

National Natural Science Foundation of China (CN)

Science and technology development projection of Jilin Province

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Earth-Surface Processes,Geology,Pollution,Soil Science,Water Science and Technology,Environmental Chemistry,Global and Planetary Change

Link

http://link.springer.com/article/10.1007/s12665-018-7612-2/fulltext.html

Reference42 articles.

1. Ableidinger M, Buckwar E, Thalhammer A (2017) An importance sampling technique in Monte Carlo methods for SDEs with a.s. stable and mean-square unstable equilibrium. J Comput Appl Math 316:3–14. https://doi.org/10.1016/j.cam.2016.08.043 . (Accepted 9 August 2016)

2. Andreotti E, Hult M, Marissens G, Lutter G, Garfagnini A, Hemmer S, von Sturm K (2014) Determination of dead-layer variation in HPGe detectors. Applied radiation isotopes 87:331–335. https://doi.org/10.1016/j.apradiso.2013.11.046 . (Accepted 18 November 2013)

3. Bai C-Z, Zhang R, Hong M, Qian L-x, Wang Z (2015) A new information diffusion modelling technique based on vibrating string equation and its application in natural disaster risk assessment. Int J Gen Syst 44:601–614

4. Baio G, Copas A, Ambler G, Hargreaves J, Beard E, Omar RZ (2015) Sample size calculation for a stepped wedge trial. Trials 16:1–15. https://doi.org/10.1080/03081079.2014.980242 . (Accepted 21 Oct 2014)

5. Bekker-Grob EWD, Donkers B, Jonker MF, Stolk EA (2015) Sample size requirements for discrete-choice experiments in healthcare: a practical guide. The patient. Patient Cent Outcomes Res 8:373–384. https://doi.org/10.1007/s40271-015-0118-z

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