메뉴 건너뛰기




Volumn 101, Issue 1-2, 2010, Pages 116-126

VGLMs and VGAMs: An overview for applications in fisheries research

Author keywords

Smoothing; Statistical families; Statistical modelling strategies; Vector generalized additive model; Vector generalized linear model

Indexed keywords


EID: 70450221495     PISSN: 01657836     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fishres.2009.09.015     Document Type: Article
Times cited : (12)

References (65)
  • 1
    • 0001407813 scopus 로고
    • On the estimation of production frontiers: maximum likelihood estimation of the parameters of a discontinuous density function
    • Aigner D.J., Amemiya T., and Poirer D. On the estimation of production frontiers: maximum likelihood estimation of the parameters of a discontinuous density function. Int. Econ. Rev. 17 (1976) 377-396
    • (1976) Int. Econ. Rev. , vol.17 , pp. 377-396
    • Aigner, D.J.1    Amemiya, T.2    Poirer, D.3
  • 2
    • 70450223571 scopus 로고    scopus 로고
    • Oxford University Press, Oxford (Oxford Statistical Science Series 35 University Press)
    • Aitkin M., Francis B., Hinde J., and Darnell R. Statistical Modelling in R (2009), Oxford University Press, Oxford (Oxford Statistical Science Series 35 University Press)
    • (2009) Statistical Modelling in R
    • Aitkin, M.1    Francis, B.2    Hinde, J.3    Darnell, R.4
  • 3
    • 1542349862 scopus 로고    scopus 로고
    • An environmentally based growth model that uses finite difference calculus with maximum likelihood method: its application to the brackish water bivalve Corbicula japonica in Lake Abashiri, Japan
    • Baba K., Kawajiri T., Kuwahara Y., and Nakao S. An environmentally based growth model that uses finite difference calculus with maximum likelihood method: its application to the brackish water bivalve Corbicula japonica in Lake Abashiri, Japan. Fish. Bull. 102 (2004) 14-24
    • (2004) Fish. Bull. , vol.102 , pp. 14-24
    • Baba, K.1    Kawajiri, T.2    Kuwahara, Y.3    Nakao, S.4
  • 4
    • 34547689396 scopus 로고    scopus 로고
    • Application of discrete choice models to predict white crappie temperature selection in two Missouri impoundments
    • Bajer P.G., Millspaugh J.J., and Hayward R.S. Application of discrete choice models to predict white crappie temperature selection in two Missouri impoundments. Trans. Am. Fish. Soc. 136 (2007) 889-901
    • (2007) Trans. Am. Fish. Soc. , vol.136 , pp. 889-901
    • Bajer, P.G.1    Millspaugh, J.J.2    Hayward, R.S.3
  • 5
    • 9744286999 scopus 로고    scopus 로고
    • Analysing commercial catch and effort data from a Penaeid trawl fishery: a comparison of linear models, mixed models, and generalised estimating equations approaches
    • Bishop J., Venables W.N., and Wang Y.-G. Analysing commercial catch and effort data from a Penaeid trawl fishery: a comparison of linear models, mixed models, and generalised estimating equations approaches. Fish. Res. 70 (2004) 179-193
    • (2004) Fish. Res. , vol.70 , pp. 179-193
    • Bishop, J.1    Venables, W.N.2    Wang, Y.-G.3
  • 7
    • 0000014224 scopus 로고
    • Linear smoothers and additive models
    • (with discussion)
    • Buja A., Hastie T., and Tibshirani R. Linear smoothers and additive models. Ann. Stat. 17 (1989) 453-510 (with discussion)
    • (1989) Ann. Stat. , vol.17 , pp. 453-510
    • Buja, A.1    Hastie, T.2    Tibshirani, R.3
  • 8
    • 43449110125 scopus 로고    scopus 로고
    • Estimating fish body condition with quantile regression
    • Cade B.S., Terrell J.W., and Porath M.T. Estimating fish body condition with quantile regression. N. Am. J. Fish. Manage. 28 (2008) 349-359
    • (2008) N. Am. J. Fish. Manage. , vol.28 , pp. 349-359
    • Cade, B.S.1    Terrell, J.W.2    Porath, M.T.3
  • 9
    • 0004269485 scopus 로고
    • Chambers J.M., and Hastie T.J. (Eds), Chapman & Hall, New York, USA
    • In: Chambers J.M., and Hastie T.J. (Eds). Statistical Models in S (1993), Chapman & Hall, New York, USA
    • (1993) Statistical Models in S
  • 11
    • 0026682977 scopus 로고
    • Smoothing reference centile curves: the LMS method and penalized likelihood
    • Cole T.J., and Green P.J. Smoothing reference centile curves: the LMS method and penalized likelihood. Stat. Med. 11 (1992) 1305-1319
    • (1992) Stat. Med. , vol.11 , pp. 1305-1319
    • Cole, T.J.1    Green, P.J.2
  • 13
    • 0000662519 scopus 로고
    • On the estimation of biological populations
    • DeLury D.B. On the estimation of biological populations. Biometrics 3 (1947) 145-167
    • (1947) Biometrics , vol.3 , pp. 145-167
    • DeLury, D.B.1
  • 14
    • 9744232983 scopus 로고    scopus 로고
    • Beyond 'lognormal versus gamma': discrimination among error distributions for generalized linear models
    • Dick E.J. Beyond 'lognormal versus gamma': discrimination among error distributions for generalized linear models. Fish. Res. 70 (2004) 351-366
    • (2004) Fish. Res. , vol.70 , pp. 351-366
    • Dick, E.J.1
  • 15
    • 0032996972 scopus 로고    scopus 로고
    • Parameter and quantile estimation for the generalized extreme-value distribution: a second look
    • Dupuis D.J. Parameter and quantile estimation for the generalized extreme-value distribution: a second look. Environmetrics 10 (1999) 119-124
    • (1999) Environmetrics , vol.10 , pp. 119-124
    • Dupuis, D.J.1
  • 16
    • 0004364260 scopus 로고
    • Poisson overdispersion estimates based on the method of asymmetric maximum likelihood
    • Efron B. Poisson overdispersion estimates based on the method of asymmetric maximum likelihood. J. Am. Stat. Assoc. 87 (1992) 98-107
    • (1992) J. Am. Stat. Assoc. , vol.87 , pp. 98-107
    • Efron, B.1
  • 17
    • 0018115641 scopus 로고
    • Assessing the accuracy of the maximum likelihood estimator: observed versus expected Fisher information
    • Efron B., and Hinkley D.V. Assessing the accuracy of the maximum likelihood estimator: observed versus expected Fisher information. Biometrika 65 (1978) 457-481
    • (1978) Biometrika , vol.65 , pp. 457-481
    • Efron, B.1    Hinkley, D.V.2
  • 18
    • 28444464728 scopus 로고    scopus 로고
    • Chapman and Hall/CRC, Boca Raton, FL, USA
    • Faraway J.J. Linear Models with R (2004), Chapman and Hall/CRC, Boca Raton, FL, USA
    • (2004) Linear Models with R
    • Faraway, J.J.1
  • 21
    • 0027811255 scopus 로고
    • The largest, smallest, highest, lowest, longest, and shortest: extremes in ecology
    • Gaines S.D., and Denny M.W. The largest, smallest, highest, lowest, longest, and shortest: extremes in ecology. Ecology 74 (1993) 1677-1692
    • (1993) Ecology , vol.74 , pp. 1677-1692
    • Gaines, S.D.1    Denny, M.W.2
  • 22
    • 0001648516 scopus 로고
    • Iteratively reweighted least squares for maximum likelihood estimation, and some robust and resistant alternatives
    • Green P.J. Iteratively reweighted least squares for maximum likelihood estimation, and some robust and resistant alternatives. J. Roy. Stat. Soc. Ser. B 46 (1984) 149-192
    • (1984) J. Roy. Stat. Soc. Ser. B , vol.46 , pp. 149-192
    • Green, P.J.1
  • 26
    • 35348860330 scopus 로고    scopus 로고
    • Predicting fishing participation and site choice while accounting for spatial substitution, trip timing, and trip context
    • Hunt L.M., Boots B.N., and Boxall P.C. Predicting fishing participation and site choice while accounting for spatial substitution, trip timing, and trip context. N. Am. J. Fish. Manage. 27 (2007) 832-847
    • (2007) N. Am. J. Fish. Manage. , vol.27 , pp. 832-847
    • Hunt, L.M.1    Boots, B.N.2    Boxall, P.C.3
  • 27
    • 0030305457 scopus 로고    scopus 로고
    • R: a language for data analysis and graphics
    • Ihaka R., and Gentleman R. R: a language for data analysis and graphics. J. Comput. Graph. Stat. 5 (1996) 299-314
    • (1996) J. Comput. Graph. Stat. , vol.5 , pp. 299-314
    • Ihaka, R.1    Gentleman, R.2
  • 29
    • 18444391250 scopus 로고    scopus 로고
    • Statistics of extremes: modelling ecological disturbances
    • Katz R.W., Brush G.S., and Parlange M.B. Statistics of extremes: modelling ecological disturbances. Ecology 86 (2005) 1124-1134
    • (2005) Ecology , vol.86 , pp. 1124-1134
    • Katz, R.W.1    Brush, G.S.2    Parlange, M.B.3
  • 30
    • 84925105967 scopus 로고    scopus 로고
    • Cambridge University Press, Cambridge
    • Koenker R. Quantile Regression (2005), Cambridge University Press, Cambridge
    • (2005) Quantile Regression
    • Koenker, R.1
  • 32
    • 25544456564 scopus 로고    scopus 로고
    • Semiparametric quantile regression using the gamma distribution
    • Unpublished manuscript
    • Lopatatzidis, A., Green, P.J., 1998. Semiparametric quantile regression using the gamma distribution. Unpublished manuscript.
    • (1998)
    • Lopatatzidis, A.1    Green, P.J.2
  • 33
    • 70450223751 scopus 로고    scopus 로고
    • Penalised regression splines: theory and application to medical research
    • Marra G., and Radice R. Penalised regression splines: theory and application to medical research. Stat. Method Med. Res. (2008) 1-20
    • (2008) Stat. Method Med. Res. , pp. 1-20
    • Marra, G.1    Radice, R.2
  • 35
    • 33847057703 scopus 로고    scopus 로고
    • Modeling shark bycatch: the zero-inflated negative binomial regression model with smoothing
    • Minami M., Lennert-Cody C.E., Gao W., and Roman-Verdesoto M. Modeling shark bycatch: the zero-inflated negative binomial regression model with smoothing. Fish. Res. 84 (2007) 210-221
    • (2007) Fish. Res. , vol.84 , pp. 210-221
    • Minami, M.1    Lennert-Cody, C.E.2    Gao, W.3    Roman-Verdesoto, M.4
  • 37
    • 0000940392 scopus 로고
    • Asymmetric least squares estimation and testing
    • Newey W.K., and Powell J.L. Asymmetric least squares estimation and testing. Econometrica 55 (1987) 819-847
    • (1987) Econometrica , vol.55 , pp. 819-847
    • Newey, W.K.1    Powell, J.L.2
  • 38
    • 0037316333 scopus 로고    scopus 로고
    • Use of binary and truncated negative binomial modelling in the analysis of recreational catch data
    • O'Neill M.F., and Faddy M.J. Use of binary and truncated negative binomial modelling in the analysis of recreational catch data. Fish. Res. 60 (2003) 471-477
    • (2003) Fish. Res. , vol.60 , pp. 471-477
    • O'Neill, M.F.1    Faddy, M.J.2
  • 40
    • 0016312195 scopus 로고
    • A log gamma model and its maximum likelihood estimation
    • Prentice R.L. A log gamma model and its maximum likelihood estimation. Biometrika 61 (1974) 539-544
    • (1974) Biometrika , vol.61 , pp. 539-544
    • Prentice, R.L.1
  • 41
    • 0036921633 scopus 로고    scopus 로고
    • Selecting the number of knots for penalized splines
    • Ruppert D. Selecting the number of knots for penalized splines. J. Comput. Graph. Stat. 11 (2002) 735-757
    • (2002) J. Comput. Graph. Stat. , vol.11 , pp. 735-757
    • Ruppert, D.1
  • 44
    • 47549093342 scopus 로고    scopus 로고
    • Application of the Tweedie distribution to zero-catch data in CPUE analysis
    • Shono H. Application of the Tweedie distribution to zero-catch data in CPUE analysis. Fish. Res. 93 (2008) 154-162
    • (2008) Fish. Res. , vol.93 , pp. 154-162
    • Shono, H.1
  • 45
    • 0001833787 scopus 로고
    • Generalized linear models with varying dispersion
    • Smyth G.K. Generalized linear models with varying dispersion. J. Roy. Stat. Soc. Ser. B 51 (1989) 47-60
    • (1989) J. Roy. Stat. Soc. Ser. B , vol.51 , pp. 47-60
    • Smyth, G.K.1
  • 46
    • 0000695717 scopus 로고
    • A generalization of the gamma distribution
    • Stacy E.W. A generalization of the gamma distribution. Ann. Math. Stat. 33 (1962) 1187-1192
    • (1962) Ann. Math. Stat. , vol.33 , pp. 1187-1192
    • Stacy, E.W.1
  • 47
    • 0002521330 scopus 로고
    • Ordination
    • Jongman R.H.G., ter Braak C.J.F., and van Tongeren O.F.R. (Eds), Pudoc, Wageningen
    • ter Braak C.J.F. Ordination. In: Jongman R.H.G., ter Braak C.J.F., and van Tongeren O.F.R. (Eds). Data Analysis in Community and Landscape Ecology (1987), Pudoc, Wageningen 91-173
    • (1987) Data Analysis in Community and Landscape Ecology , pp. 91-173
    • ter Braak, C.J.F.1
  • 50
    • 0008003951 scopus 로고    scopus 로고
    • Origin of the large burbot (Lota lota (L.)) caught in an Arctic ice-fishing competition: a case study
    • Tolonen A., and Lappalainen J. Origin of the large burbot (Lota lota (L.)) caught in an Arctic ice-fishing competition: a case study. J. Appl. Ichthyol. 15 (1999) 122-126
    • (1999) J. Appl. Ichthyol. , vol.15 , pp. 122-126
    • Tolonen, A.1    Lappalainen, J.2
  • 51
    • 9744285035 scopus 로고    scopus 로고
    • GLMs GAMs and GLMMs: an overview of theory for applications in fisheries research
    • Venables W., and Dichmont C. GLMs GAMs and GLMMs: an overview of theory for applications in fisheries research. Fish. Res. 70 (2004) 319-337
    • (2004) Fish. Res. , vol.70 , pp. 319-337
    • Venables, W.1    Dichmont, C.2
  • 52
    • 38449113722 scopus 로고    scopus 로고
    • Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data?
    • Ver Hoef J.M., and Boveng P.L. Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data?. Ecology 88 (2007) 2766-2772
    • (2007) Ecology , vol.88 , pp. 2766-2772
    • Ver Hoef, J.M.1    Boveng, P.L.2
  • 53
    • 47249158963 scopus 로고    scopus 로고
    • On semiparametric regression with O'Sullivan penalized splines
    • Wand M.P., and Ormerod J.T. On semiparametric regression with O'Sullivan penalized splines. Aust. New Zealand J. Stat. 50 (2008) 179-198
    • (2008) Aust. New Zealand J. Stat. , vol.50 , pp. 179-198
    • Wand, M.P.1    Ormerod, J.T.2
  • 54
    • 0027881458 scopus 로고
    • On the statistical distribution of salmon in the sea: Application of the negative binomial distribution, and the influence of sampling effort
    • Welch D.W., and Ishida Y. On the statistical distribution of salmon in the sea: Application of the negative binomial distribution, and the influence of sampling effort. Can. J. Fish. Aquat. Sci. 50 (1993) 1029-1038
    • (1993) Can. J. Fish. Aquat. Sci. , vol.50 , pp. 1029-1038
    • Welch, D.W.1    Ishida, Y.2
  • 55
    • 0030515629 scopus 로고    scopus 로고
    • Modelling the abundances of rare species: statistical models for counts with extra zeros
    • Welsh A.H., Cunningham R.B., Donnelly C.F., and Lindenmayer D.B. Modelling the abundances of rare species: statistical models for counts with extra zeros. Ecol. Model. 88 (1996) 297-308
    • (1996) Ecol. Model. , vol.88 , pp. 297-308
    • Welsh, A.H.1    Cunningham, R.B.2    Donnelly, C.F.3    Lindenmayer, D.B.4
  • 57
    • 17444387499 scopus 로고    scopus 로고
    • A new technique for maximum-likelihood canonical Gaussian ordination
    • Yee T.W. A new technique for maximum-likelihood canonical Gaussian ordination. Ecol. Monogr. 74 (2004) 685-701
    • (2004) Ecol. Monogr. , vol.74 , pp. 685-701
    • Yee, T.W.1
  • 58
    • 3242775487 scopus 로고    scopus 로고
    • Quantile regression via vector generalized additive models
    • Yee T.W. Quantile regression via vector generalized additive models. Stat. Med. 23 (2004) 2295-2315
    • (2004) Stat. Med. , vol.23 , pp. 2295-2315
    • Yee, T.W.1
  • 59
    • 70450223382 scopus 로고    scopus 로고
    • The VGAM package
    • Yee T.W. The VGAM package. R News 8 (2008) 28-39
    • (2008) R News , vol.8 , pp. 28-39
    • Yee, T.W.1
  • 60
    • 70450223181 scopus 로고    scopus 로고
    • Yee, T.W., in preparation. Some issues raised by an analysis of the 2008 World Fly Fishing Championships data.
    • Yee, T.W., in preparation. Some issues raised by an analysis of the 2008 World Fly Fishing Championships data.
  • 61
    • 67650747341 scopus 로고    scopus 로고
    • Models for analysing species' presence/absence data at two time points
    • Yee T.W., and Dirnbock T. Models for analysing species' presence/absence data at two time points. J. Theor. Biol. 259 (2009) 684-694
    • (2009) J. Theor. Biol. , vol.259 , pp. 684-694
    • Yee, T.W.1    Dirnbock, T.2
  • 62
    • 84993729357 scopus 로고    scopus 로고
    • Reduced-rank vector generalized linear models
    • Yee T.W., and Hastie T.J. Reduced-rank vector generalized linear models. Stat. Model. 3 (2003) 15-41
    • (2003) Stat. Model. , vol.3 , pp. 15-41
    • Yee, T.W.1    Hastie, T.J.2
  • 63
    • 0037202444 scopus 로고    scopus 로고
    • Vector generalized additive models in plant ecology
    • Yee T.W., and Mackenzie M. Vector generalized additive models in plant ecology. Ecol. Model. 157 (2002) 141-156
    • (2002) Ecol. Model. , vol.157 , pp. 141-156
    • Yee, T.W.1    Mackenzie, M.2
  • 64
    • 34547887938 scopus 로고    scopus 로고
    • Vector generalized linear and additive extreme value models
    • Yee T.W., and Stephenson A.G. Vector generalized linear and additive extreme value models. Extremes 10 (2007) 1-19
    • (2007) Extremes , vol.10 , pp. 1-19
    • Yee, T.W.1    Stephenson, A.G.2
  • 65
    • 0001460390 scopus 로고    scopus 로고
    • Vector generalized additive models
    • Yee T.W., and Wild C.J. Vector generalized additive models. J. Roy. Stat. Soc. Ser. B 58 (1996) 481-493
    • (1996) J. Roy. Stat. Soc. Ser. B , vol.58 , pp. 481-493
    • Yee, T.W.1    Wild, C.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.