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From the learning by EM algorithm, we find the parameters of two Gaussian density functions such as mean μ i, variance σ i, and weight P r (i).
Six statistical challenges (I VI) of general relevance were identified, and remedies were provided which can be transferred to similarly designed test methods: a Williams-type trend test is proposed for overdispersed counts (II) by means of a square-root transformation which is robust for small sample sizes (I), variance heterogeneity (III), and possible downturn effects at high doses (IV).
This results in a representation of the field as a sum of B Gaussians (one per neuron), and an offset (or bias) parameter b, with each neuron having its own parameters such as its peak a i, variance σ i, and center ( x 0 i, y 0 i ).
TLN-C and WISC-III variance could be explained in 20 % (R2a = .197).197
The models were estimated using multilevel multinomial regression analyses, for unordered categories, with PQL (penalised quasi-likelihood), first order and constrained level I variance (MLwiN 2.02).
Simply put, PLP implements a discrimination algorithm to find a minimal set of EMs based on two criteria: i) variance of measured phenotypic trait explained by each EM and ii) degree of correlation of each EM with the environmental state.
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σ n 2 and I are variance of noise and identity matrix, respectively.
The mean (I) and variance (σ2) of these evoked currents were calculated, binned, and plotted against each other (Figure 7).
Behavioral means for each strain were estimated using general linear modeling of log-transformed PD i. Variance proportions for PD i were estimated from log-transformed averages across all sessions and segments [ 27].
The precision of the SMR is proportional to E i since variance (SMR =1/ E i.
Moreover, mean C m e a n i and variance C var j of centroid C i are computed for each leaf.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com