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Bill Ricker: An Appreciation (Developments in Environmental by David L.G. Noakes

By David L.G. Noakes

This e-book is the 1st entire biography of 1 of the founders of fishery technological know-how, William Edwin (Bill) Ricker (1908 - 2001), immortalized within the Ricker Curve. This booklet combines Bill’s personal memories with contributions from those that knew him and labored with him as a colleague in the course of his multifaceted profession. In an editorial written almost immediately ahead of his dying, invoice offers his personal account of his occupation and highbrow improvement.

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Additional resources for Bill Ricker: An Appreciation (Developments in Environmental Biology of Fishes)

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For the predator control work at Cultus Lake we need to know the absolute abundance of the important fish in the lake. N. Derzhavin had approached this problem by summing the catches taken from a sturgeon population over many years (152). My attempts to estimate populations by way of catch per unit of effort led to a discussion of the theory of that statistic (34, 47). It appeared that catch per unit of effort is of very limited usefulness when large differences in effort are being compared, so we repeated exactly the kinds and numbers of nets that were set in years at the start and end of the control program (38).

Indiana University Studies, Science Series, No. 15, 101 pp. (82) 1949. The North American species of Paragnetina (Plecoptera, Perlidae). Annals of the Entomological Society of America 42: 279 – 288. (83) 1949. Mortality rates in some little-exploited populations of freshwater fishes. Transactions of the American Fisheries Society for 1947, 77: 114 – 128. (84) 1950. Cycle dominance among the Fraser sockeye. Ecology 31: 6 – 26. (87) 1950. Some evolutionary trends in Plecoptera. Proceedings of the Indiana Academy of Science 59: 197 – 209.

S. Pearson, whom I saw in London in 1935, and the table has proved useful in a variety of contexts where the Poisson situation exists. That is when there are items or observations that have a low probability of occurrence, yet our information comes from those that in fact do occur. A. Fisher (15, 24). More recently I felt a need to review the literature of linear regression, to see what statistic is appropriate when both variates of a pair are characterized by inherent variability, with or without measurement error as well.

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