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Table 1 Parameter Estimates for the Exponential-Normal Convolution Model

From: Error correction and statistical analyses for intra-host comparisons of feline immunodeficiency virus diversity from high-throughput sequencing data

Library pairs \( {\widehat{\alpha}}^a \) \( {\widehat{\mu}}^b \) \( {\widehat{\sigma}}^c \) Total Reads Average Coverage
1 & 2 637 3.2×10-4 5.1×10-5 63439 1810
3 & 4 750 2.4×10-4 4.7×10-5 90839 2775
5 & 6 810 1.4×10-4 1.7×10-5 133801 4236
7 & 8 813 1.8×10-4 2.1×10-5 132589 4078
9 & 10 865 1.4×10-4 3.6×10-5 177873 5530
11 & 12 888 2.1×10-4 6.6×10-5 118396 3916
All 777 1.6×10-4 5.1×10-5 716937 3724
  1. a \( \widehat{\alpha} \): estimated rate parameter for the exponentially distributed signal (obtained anchoring the 75th percentile of an exponential distribution to the 75th percentile of all frequencies minus the estimate of μ (i.e. the overall mode); b \( \widehat{\mu} \): estimated mean for the normally distributed error (fixed at the overall mode); c \( \widehat{\sigma} \): estimated standard deviation for the normally distributed error (obtained “doubling” the spread on the left of the overall mode)