### Table 5 Exponential parameter estimates for individual participants in Experiment Parameter estimates Av Participants 12345 Asymptotes (k)

2004

"... In PAGE 19: ... Table5 presents the parameter estimates for the 4k C0 1b C0 2d fits of the average and individual partici- pantsC213 data. Consider first the asymptotic (k) parameter estimates, which measure the likelihood of computing an interpretation of the sentence that met the criteria to be judged acceptable.... ..."

### Table 3. Individual posterior parameter estimates for HIV1 versus HIV2

2006

"... In PAGE 7: ...Table3 we can see the individual parameter estimates for these regions. Gag and pol will highly dominate the maximum likelihood estimates for the evolu- tionary parameters, due to their length.... ..."

### Table 2: Estimated individual mean parameters from Model II.

### Table B.2: Estimated individual mean parameters from Model I.

### Table B.3 Estimated individual mean parameters for Model I.

### Table 7. Parameter Estimates of Individual Random Effect + AR(1) Model Taking No Account of Initial Conditions.a

1999

Cited by 1

### Table 7: GLMMs for Cluster Sizes Individuals (probit-normal): PACs (GLMM-PN):

"... In PAGE 25: ... As the policy moderating model predicts, all these e ects are positive. Table7 reports estimates for the cluster size models. The individual cluster size model includes the smallest number of signi cant parameters.... In PAGE 26: ...Table7 includes only the district-speci c random e ect. Other pa- rameters that have blank entries in Table 7 had insigni cant estimates when included in the model.... In PAGE 26: ...Other pa- rameters that have blank entries in Table7 had insigni cant estimates when included in the model. They are also omitted from the model reported in Table 7.... In PAGE 26: ...Other pa- rameters that have blank entries in Table 7 had insigni cant estimates when included in the model. They are also omitted from the model reported in Table7 . The e ect of 1=Ht is the only substantively interesting parameter to achieve unambiguous signi cance: as the e ective number of candidates increases, the value of each contribution decreases.... ..."

### TABLE 1. Accuracy of the parameter estimates as calculated from 400 realizations of a. For each of the seven parameters, the true a value, a*, the median, amedian, the mean, amean, as well as the rms error in the individual estimates of a are given.

### Table 10. Mean and standard deviation of the stochastic parameter estimation results for RSI and HONO-F, for individual chamber characterization experiments Run Opt. RSI (ppb) Opt. HONO-F (%)

"... In PAGE 6: ... Correlation among input parameters for chamber-derived parameters 31 Table 9. Simulation conditions for MIR, MOIR and EBIR cases 34 Table10 . Mean and standard deviation of the stochastic parameter estimation results for RSI and HONO-F, for individual chamber character- ization experiments 36 Table 11.... In PAGE 43: ...alculations. The input random variables considered were those identified by Wang et al. (1999) as influential for predicting ozone concentrations in the chamber characterization runs and are listed in Table 7. The optimal radical source parameters and associated uncertainties for the individual experiments are shown in Table10 . For the chamber radical source experiments conducted at about the same time as the n-butyl acetate experiments, the average optimal values are 0.... ..."

### Table 1: Parameter estimates for extended model

"... In PAGE 13: ... 3.2 Estimation Results Table1 shows the results of NLLS estimation of the model described in section 2. Individual estimates for the parameters , and are shown, as well as summary statistics for the estimated distribution of i parameters, and some descriptive mea- sures calculated from the estimated parameters.... ..."