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Comparison of the relative reproductive success values of F1 hatchery fish that were released as fry or released as smolts.
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A successful puncture had a puncture success value of ≥34 [ 12, 16 ].
We chose the negative binomial for simulations because it closely mimics the actual distribution of reproductive success values for salmon breeding in the wild.
We chose a negative binomial distribution because it closely mimics the actual distribution of reproductive success values for salmon breeding in the wild (see Figure S1 for comparisons to empirical distributions).
Every single value of sperm competitive ability can generate a wide range of fertilization success values as a result of variation in the sperm competitive ability of rival males (Figs. 1A and 1B).
Therefore, the values of sperm competitiveness for the offspring in the hypothetical design have been put in the context of fertilization success values following double matings.
The difference between the intraclass correlation coefficient for s2- Offspring and for F2- Offspring would therefore inform on how the estimations of additive genetic variance in sperm competitive ability are affected by the relative nature of fertilization success values.
Q is a Bernoulli distributed random variable with a probability of success 0.001, value of success being 1, and value of failure being 0. Q is independent of both E and X. Determine the status of outcome Y. Let Y n = {0,1}, n = (1,2, 3,…, 50000) denote the outcome not occurred or occurred, respectively.
E is a Bernoulli distributed random variable with a probability of success 0.001, value of success (competing events occurred) being 1, and value of failure (competing events not occurred) being 0. E is independent of X. Determine small random errors for Y.
so that the dispersion of conditional probabilities of success (value increment) is predicted to increase over time (rounds).
Puncture success value: based on the ratio of AI to AP and calculated as (AI *100) / AP.
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