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Stochastic gain in finite populations
Physical Review E, 2008Flexible learning rates can lead to increased payoffs under the influence of noise. In a previous paper [Traulsen, Phys. Rev. Lett. 93, 028701 (2004)], we have demonstrated this effect based on a replicator dynamics model which is subject to external noise.
Röhl, T. +3 more
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Social exclusion in finite populations
Physical Review E, 2015Social exclusion, keeping free riders from benefit sharing, plays an important role in sustaining cooperation in our world. Here we propose two different exclusion regimes, namely, peer exclusion and pool exclusion, to investigate the evolution of social exclusion in finite populations.
Kun, Li, Rui, Cong, Te, Wu, Long, Wang
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Linkage disequilibrium in finite populations
Theoretical and Applied Genetics, 1968A theoretical investigation has been made of the influence of population size (N) and recombination fraction (c) on linkage disequilibrium (D) between a pair of loci. Two situations were studied: (i) where both loci had no effect on fitness and (ii) where they showed heterozygote superiority, but no epistacy.If the populations are initially in linkage ...
W G, Hill, A, Robertson
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ESS-theory for finite populations
Biosystems, 1981On the basis of some principles from the philosophy of science, the inadequacy of the ESS-theory as introduced by Maynard Smith and Price as a biological theory is discussed, and an improved ESS-theory for finite populations is presented which can adopt the ideas of the original formalism, although modified.
B, Thomas, H J, Pohley
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Linkage disequilibria in finite populations
Theoretical Population Biology, 1986Four-locus recombination frequencies are summarized into two-locus pair frequencies and three-locus frequencies, and further, into two-locus frequencies such that higher-order frequencies are linear functions of lower-order frequencies. Frequencies of gene combinations are defined according to their position on the same or distinct gametes, and linear ...
Cockerham, C. Clark, Tachida, Hidenori
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On selection in finite populations
Journal of Mathematical Biology, 2017Two major forces shaping evolution are drift and selection. The standard models of neutral drift-the Wright-Fisher (WF) and Moran processes-can be extended to include selection. However, these standard models are not always applicable in practice, and-even without selection-many other drift models make very different predictions.
Chai Molina, David J. D. Earn
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Multistage Index Selection in Finite Populations
Biometrics, 1991Multistage selection with fixed proportions and selection indices based on covariates of the target variable is studied. Assuming a multivariate normal distribution before the selection, expressions are presented for the expectation and the variance of the target variable in the retained subpopulation. As the numerical evaluation for finite populations
Norell, Lennart +2 more
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Modeling spatial aggregation of finite populations
Ecology, 2010Accurate description of spatial distribution of species is essential for correctly modeling macroecological patterns and thus to infer mechanisms of species coexistence. The Poisson and negative binomial distribution (NBD) are most widely used to respectively model random and aggregated distributions of species in infinitely large areas.
Zillio, T., He, F.
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2014
It is fair to say that most of the information we know about contemporary society is obtained as the result of sample surveys. Real populations are finite and the branch of statistics which treats sampling of such populations is called survey sampling. For many years survey sampling remained the province of “survey samplers” with very little input from
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It is fair to say that most of the information we know about contemporary society is obtained as the result of sample surveys. Real populations are finite and the branch of statistics which treats sampling of such populations is called survey sampling. For many years survey sampling remained the province of “survey samplers” with very little input from
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Bootstrap for finite populations
Communications in Statistics - Simulation and Computation, 1996The bootstrap method is compared with the classical (linearization) and jackknife procedures for estimating the mean square errors (MSEs) of the ratio estimator and the combined ratio estimator. The initial samples are considered to be selected without replacement, and different procedures for selecting the bootstrap samples with or without replacement
Poduri Rao, Myron Katzoff
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