A split-beam echo counting model: Development of statistical procedures

ICES Journal of Marine Science

Volumn 55, Issue 5, 1998, Pages 905-917

  Mulligan, T J ^a   Chen, D G ^a  

^a PACIFIC BIOLOGICAL STATION   (Canada)

Author keywords

Echo density; Fish density; Fish detection probability; Fish flux; Fish migration speed; Kernel density estimation; Kernel regression estimation; Smoothing parameter selection

Indexed keywords

ACOUSTIC METHOD; DATA INTERPRETATION; FISH; POPULATION DENSITY;

EID: 0032192560     PISSN: 10543139     EISSN: None     Source Type: Journal    
DOI: 10.1006/jmsc.1998.0353     Document Type: Article

References (11)

1. Enzenhofer, H. J., and Olsen, N. 1996. A reference target frame and fish deflection weir for fixed-location riverine hydroacoustic systems. Canadian Technical Report of Fisheries and Aquatic Sciences, 1996: No. 2347.
2. Enzenhofer, H. J., Olsen, N., and Mulligan, T. J. 1998. Fixed-location riverine hydroacoustics as a method of enumerating migrating adult Pacific salmon: comparison of split-beam acoustics vs. visual counting. Aquatic Living Resources, 11(2): 61-74.
3. Gasser, T., Kneip, A., and Kohler, W. 1991. A flexible and fast method for automatic smoothing. Journal of the American Statistical Association, 86: 643-652.
4. Jones, M. C., Marron, J. S., and Sheather, S. J. 1996. A brief survey of bandwidth selection for density estimation. Journal of the American Statistical Association, 91: 401-407.
5. Huber, P. J. 1973. Robust regression: asymptotic, conjectures, and monto carlo. Annals of Statistics, 1: 799-821.
6. Mulligan, T., and Kieser, R. 1996. A split-beam echo counting model for riverine use. ICES Journal of Marine Science, 53: 403-406.
7. Nychka, D. 1991. Choosing a range for the amount of smoothing in nonparametric regression. Journal of the American Statistical Association, 86: 653-664.
8. Park, B. U., and Marron, J. S. 1990. Comparison of data-driven bandwidth selectors. Journal of the American Statistical Association, 85: 66-72.
9. Schnute, J. T., Mulligan, T. J., and Kuhn, B. R. 1990. An error-in-variable bias model with an application to salmon hatchery data. Canadian Journal of Fisheries and Aquatic Sciences, 47: 1453-1467.
10. Sheather, S. J., and Jones, M. C. 1991. A reliable data-based bandwidth selection method for kernel density estimation. Journal of Royal Statistical Society, B 53: 683-690.
11. Silverman, B. W. 1986. Density Estimation for Statistics and Data Analysis. Chapman and Hall, London.