Sentence examples for distribution sums from inspiring English sources

Just as the CMP distribution bridges the gap between the Poisson, geometric, and Bernoulli distributions through the addition of a dispersion parameter, the sCMP distribution sums over m CMP random variables, producing an encompassing distributional form that has an even greater containment of numerous count distributions.

An increasing mutation rate effectively widens DFE variance per cell division following the rule of distribution sums [ 57] (Fig. S1C-D).

It is difficult to prove the lemma directly, but the proof could be done by some division and summarization methods, i.e., to prove that the sum distribution (sum _{t = 1}^{T} text {UE}_{t}) of independent identically distributed Poisson distribution of each time period UE t was a Poisson distribution.

Figure 2 shows the yearly average estimated number of attributable deaths associated with each daily mean temperature value with RR > 1; the numbers for each distribution sum to the average total estimated number of attributable deaths.

All probability distributions sum up to 1.

The first constraint ensures that the distributions sum to 1. Also, E and Ē indicate real and empirical mathematical expectations given by the following equations: (12).

Histograms were scaled such that they represented genomic fragment size distributions summing to 10 nucleotides.

The number combinations of Amplicon X Unique Fragment Length Distributions is the number of unique fragment length distributions summed over all variable amplicons.

The distribution of cells across these R values (with the distributions summing to 1) was used to infer the stability of the EGFP-fusion protein they expressed.

For PCR-RFLPs, the software reports the total number of unique combinations of primer pair sequences and restriction enzyme(s) that yield variation in fragment length distributions among the genomes, as well as the number of unique fragment length distributions (summed across primer pairs and restriction enzyme combinations).

So it is going to be an equation for the full probability distribution that sums to 1. OK.