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Let the mutation rate correspond to the probability that a j type parent will produce an i type organism.
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Let and mutation
Let ú be the mutation rate from allele A to some other allele a ( the probability that a copy of gene A will become a during the DNA replication preceding meiosis ).
Let the concentrations of the two groups be x, y with reproduction rates a > b, respectively ; let Q be the probability of a virus in the first group ( x ) mutating to a member of the second group ( y ) and let R be the probability of a member of the second group returning to the first ( via an unlikely and very specific mutation ).
Let and rate
When Romulus complains that a low fertility rate has rendered the abduction of the Sabine women pointless, Juno, in her guise as the birth goddess Lucina, offers an instruction: " Let the sacred goat go into the Italian matrons " ( Italidas matres … sacer hirtus inito, with the verb inito a form of inire ).
Let the rate of neutral mutations ( i. e. mutations with no effect on fitness ) in a new individual be.
Let be an increasing, strictly convex function, called the utility, which measures how much benefit a user obtains by transmitting at rate.
Let our soldiers be paid, let the credit of the Government be once again re-established, let the rate of interest be kept down, and let the Treasury reassert its independence, and all will yet go well …
Let there be an observer C on a disk rotating in the xy plane at a coordinate angular rate of and who is at a distance of r from the center of the disk with the center of the disk at x = y = z = 0.
* Let w < sub > r </ sub > be the wage rate ( marginal productivity of labor ) in the rural agricultural sector.
* Let w < sub > u </ sub > be the wage rate in the urban sector, which could possibly be set by government with a minimum wage law.
* The Pattern Method: Let the pattern of mortality continue until the rate approaches or hits 1. 000 and set that as the ultimate age.
< P > Let k be the capital / labour ratio ( i. e., capital per capita ), y be the resulting per capita output ( ), and s be the savings rate.
Let x < sub > i </ sub > denote the concentration of strain i ; let a < sub > i </ sub > denote the rate at which strain i reproduces ; and let Q < sub > ij </ sub > denote the probability of a virus of strain i mutating to strain j.
Let us represent the generalized mass action law in the equivalent form: the rate of the elementary process
Let be the rate of the resulting linear code, let the degree of the digit nodes be and the degree of the subcode nodes be.
Let and correspond
Let the samples of be represented by the sequence, and let be represented by the sequence which correspond to the same points in time.
Let the samples of be represented by the sequence, and let be represented by the sequence which correspond to the same points in time.
Let and probability
Let us assume the bias is V and the barrier width is W. This probability, P, that an electron at z = 0 ( left edge of barrier ) can be found at z = W ( right edge of barrier ) is proportional to the wave function squared,
Let X be a random variable with a continuous probability distribution with density function f depending on a parameter θ.
Let A be an observable of the system, and suppose the ensemble is in a mixed state such that each of the pure states occurs with probability p < sub > j </ sub >.
Let be the mean of the values in associated with class c, and let be the variance of the values in associated with class c. Then, the probability of some value given a class,, can be computed by plugging into the equation for a Normal distribution parameterized by and.
Let be a probability space with a filtration, for some ( totally ordered ) index set ; and let be a measurable space.
* Let X be a random variable that takes the value 0 with probability 1 / 2, and takes the value 1 with probability 1 / 2.
* Let Z be a random variable that takes the value-1 with probability 1 / 2, and takes the value 1 with probability 1 / 2.
Let p ( n ; H ) be the probability that during this experiment at least one value is chosen more than once.
Let n ( p ; H ) be the smallest number of values we have to choose, such that the probability for finding a collision is at least p. By inverting this expression above, we find the following approximation
Let ( Ω, F, P ) be a probability space and let F < sub > n </ sub > be a sequence of mutually independent σ-algebras contained in F. Let
Let some precisely stated prior data or testable information about a probability distribution function be given.
Let the coin tosses be represented by a sequence of independent random variables, each of which is equal to H with probability p, and T with probability Let N be time of appearance of the first H ; in other words,, and If the coin never shows H, we write N is itself a random variable because it depends on the random outcomes of the coin tosses.
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