$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

[해외논문] Space—time zero-inflated count models of Harbor seals

Environmetrics, v.18 no.7, 2007년, pp.697 - 712  

Ver Hoef, Jay M. (National Marine Mammal Laboratory, Alaska Fisheries Science Center, NOAA Fisheries, 7600 Sand Point Way NE, Building 4, Seattle WA 98115-6349, U.S.A.) ,  Jansen, John K. (National Marine Mammal Laboratory, Alaska Fisheries Science Center, NOAA Fisheries, 7600 Sand Point Way NE, Building 4, Seattle WA 98115-6349, U.S.A.)

Abstract AI-Helper 아이콘AI-Helper

Environmental data are spatial, temporal, and often come with many zeros. In this paper, we included space-time random effects in zero-inflated Poisson (ZIP) and ‘hurdle’ models to investigate haulout patterns of harbor seals on glacial ice. The data consisted of counts, for 18 dates on ...

주제어

참고문헌 (33)

  1. Agarwal, Deepak K.; Gelfand, Alan E. etc. "Zero-inflated models with application to spatial count data." Environmental and ecological statistics, v.9 no.4 (2002), pp. 341-355, doi:10.1023/A:1020910605990.

  2. Introduction to Probability and Mathematical Statistics Bain LJ 1987 

  3. Journal of the Royal Statistical Society, Series B Besag JE 192 36 1974 Spatial interaction and the statistical analysis of lattice systems 

  4. CODA Manual Verion 0.30 Best NG 1995 

  5. 10.1007/978-1-4419-0320-4 

  6. Generalized Poisson Distribution: Properties and Applications Consul PC 1989 

  7. Cragg, John G.. Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods. Econometrica : journal of the Econometric Society, vol.39, no.5, 829-.

  8. 10.1002/9781119115151 

  9. Diggle, P. J., Tawn, J. A., Moyeed, R. A.. Model-Based Geostatistics. Journal of the Royal Statistical Society. Series C, Applied statistics, vol.47, no.3, 299-350.

  10. Dobbie, Melissa J., Welsh, A.H.. Theory & Methods: Modelling Correlated Zero‐inflated Count Data. Australian & New Zealand journal of statistics, vol.43, no.4, 431-444.

  11. Gelman, Andrew. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper). Bayesian analysis, vol.1, no.3,

  12. 10.1017/CBO9780511623356 

  13. Hay, J. L., Pettitt, A. N.. Bayesian analysis of a time series of counts with covariates: an application to the control of an infectious disease. Biostatistics, vol.2, no.4, 433-444.

  14. Heidelberger, Philip, Welch, Peter D.. Simulation Run Length Control in the Presence of an Initial Transient. Operations research, vol.31, no.6, 1109-1144.

  15. Heilbron, David C.. Zero‐Altered and other Regression Models for Count Data with Added Zeros. Biometrical journal: Biometrische Zeitschrift, vol.36, no.5, 531-547.

  16. Applied Logistic Regression Hosmer DW 1989 

  17. JansenJK BengtsonJL BovengPL DahleSP VerHoef JM.2006.Disturbance of harbor seals by cruise ships in Disenchantment Bay Alaska: an investigation at three spatial and temporal scales.AFSC Processed Rep. 2006‐02. Alaska Fish. Sci. Cent. Natl. Mar. Fish. Serv. NOAA 7600 Sand Point Way NE Seattle WA 98115. 

  18. Lambert, Diane. Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing. Technometrics, vol.34, no.1, 1-.

  19. Lambert, Paul C., Sutton, Alex J., Burton, Paul R., Abrams, Keith R., Jones, David R.. How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS. Statistics in medicine, vol.24, no.15, 2401-2428.

  20. 10.1002/0470842571 

  21. Lee, Andy H., Wang, Kui, Scott, Jane A., Yau, Kelvin K.W., McLachlan, Geoffrey J.. Multi-level zero-inflated Poisson regression modelling of correlated count data with excess zeros. Statistical methods in medical research, vol.15, no.1, 47-61.

  22. Resource Selection by Animals: Statistical Design and Analysis for Field Studies Manly BFJ 2002 

  23. 10.1007/978-1-4899-3242-6 

  24. Mullahy, J.. Specification and testing of some modified count data models. Journal of econometrics, vol.33, no.3, 341-365.

  25. Potts, Joanne M., Elith, Jane. Comparing species abundance models. Ecological modelling, vol.199, no.2, 153-163.

  26. R Development Core Team.2006.R: A language and environment for statistical computing.R Foundation for Statistical Computing Vienna Austria. ISBN 3‐900051‐07‐0 URLhttp://www.R‐project.org 

  27. Rathbun, Stephen L., Fei, Songlin. A spatial zero-inflated poisson regression model for oak regeneration. Environmental and ecological statistics, vol.13, no.4, 409-426.

  28. RidoutMS DemetrioCGB HindeJP.1998.Models for counts data with many zeros.Proceedings of the XIXth International Biometric Conference Cape Town Invited Papers pp.179-192. 

  29. Studies in Bayesian Econometrics and Statistics in Honor of Leonard J. Savage Varian HR 195 1975 

  30. Welsh, A.H., Cunningham, R.B., Donnelly, C.F., Lindenmayer, D.B.. Modelling the abundance of rare species: statistical models for counts with extra zeros. Ecological modelling, vol.88, no.1, 297-308.

  31. 10.1029/2002JD0028006 

  32. Wikle, CHRISTOPHER K.; Berliner, L. Mark etc. "Hierarchical Bayesian space-time models." Environmental and ecological statistics, v.5 no.2 (1998), pp. 117-154, doi:10.1023/A:1009662704779.

  33. Zellner, Arnold. Bayesian Estimation and Prediction Using Asymmetric Loss Functions. Journal of the American Statistical Association, vol.81, no.394, 446-451.

관련 콘텐츠

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로