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- W2075647572 abstract "Summary The fitness of animals subjected to natural selection can be defined as the probability of surviving selection for a given interval of time, or some convenient multiple of this. If the fitness is related to some measurable variables X, Y, Z ,… then the relationship is expressed mathematically in the fitness function w(x, y, z,…) and this function can be estimated by comparing the joint distribution of X, Y, Z ,… in samples taken before and after selection. In an earlier paper ( Manly , 1975) the problems involved in estimating a fitness function of one variable were discussed. In the present paper various methods for estimating a bivariate fitness function are proposed and compared on some semiartificial sample data. It is concluded that either a generalized version of O'Donald's (1968) method of moments or a weighted multiple regression method will be most satisfactory. Alternative methods involving assumptions of normality will need to be used with great care." @default.
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- W2075647572 date "1976-08-01" @default.
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- W2075647572 title "The estimation of a bivariate fitness function from two samples taken from a population" @default.
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- W2075647572 doi "https://doi.org/10.1007/bf02754085" @default.
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