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Comparative Performance of MULTIFAN and Shepherdˈs Length Composition Analysis (SRLCA) on Simulated Length‐Frequency Distributions
Author(s) -
Terceiro Mark,
Fournier David A.,
Sibert John R.
Publication year - 1992
Publication title -
transactions of the american fisheries society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.696
H-Index - 86
eISSN - 1548-8659
pISSN - 0002-8487
DOI - 10.1577/1548-8659(1992)121<0667:cpomas>2.3.co;2
Subject(s) - statistics , mathematics , standard deviation , frequency distribution , matching (statistics) , contrast (vision) , variable (mathematics) , computer science , mathematical analysis , artificial intelligence
We simulated length‐frequency distributions for 3‐, 7‐, and 13‐age‐class exploited populations to compare the performance of Shepherdˈs length composition analysis (SRLCA) and MULTIFAN in resolving the distributions to age frequencies. The length distributions were characterized by von Bertalanffy growth, variable recruitment, variable mortality, partial selectivity of fishing gear for the youngest age‐groups, and a length‐dependent trend in the standard deviation in length at age. We assessed quantitatively the comparative performance of SRLCA and MULTIFAN by using the Kolmogorov–Smirnov cumulative distribution test to compare calculated proportions at age with the simulated values. Shepherdˈs analysis provided a good return for the amount of computational resources invested, with limited subjective user input. In contrast, MULTIFAN offered a much more complex but powerful estimation technique, and performed consistently better than SRLCA in matching the simulated proportions at age.