### Table 2: Choosing the appropriate SETAR model

"... In PAGE 10: ... For comparison reasons, when estimating the model the number of lags of the autoregression to be included in each regime will be set to be equal to the number of lags in the competing autoregressive process, and the delay parameter will not be allowed to exceed this number of lags. Table2 reports the sum of squared residuals for the models considered, and the p-value for the test of the null of linearity against the threshold model considered in each case calculated through Hansen apos;s bootstrapping method. The method for computing this statistic is the one described above, and both the top and bottom 5% quantiles of the candidates to threshold variable have been trimmed.... ..."

### Table 3: Further training with appropriate original model

### Table below is a first attempt at summarizing various categories of appropriation of models, reasons for a specific path of appropriation and potential consequences.

### Table 1: Example Business Domains and Appropriate Requirements Models

2002

Cited by 2

### Table 1: Appropriateness Indication

2004

"... In PAGE 6: ... Based on a survey of the most important existing context modeling approaches, we discussed the fulfillment of the different approaches with re- spect to these requirements. Table1 summarizes the discus- sion of the appropriateness of the different context modeling approaches for ubiquitous computing and the identified par-... ..."

Cited by 39

### Table 5: We display the restriction on the number of scalar elds d (\ di- mension quot; of the appropriate model). It shows the well known d 1 barrier, characteristic of the DDK approach. Warning: d is not always identical to cmatt, as explained earlier.

"... In PAGE 29: ... Warning: d is not always identical to cmatt, as explained earlier. For transparency we give the restrictions on the number of matter elds, in various non{chiral supersymmetric models, which follow from the above condition in Table5 . Secondly, one can show, by an appropriate rescaling, that the kinetic term of the Liouville eld is multiplied by Q2,sothatit results to be physical only if Q2 is positive [3].... In PAGE 30: ...3). It is clear that the condition displayed in Table5 are more stringent and represent a common solution for (5.... ..."

### Table 3. Could a language appropriately specify the different aspects of a conceptual model of a kbs

1995

"... In PAGE 9: ... Notion of Dynamics: The notion of dynamics implies the characterisation of states and state transitions. Table3 shows a broad variation of syntactical representations of a state. The KADS-oriented languages KARL and (ML)2 represent a state by the contents of knowledge roles.... In PAGE 10: ... Only its substeps, which are regarded to be atomic at the level of specification, are described purely functionally. Table3 . Could a language appropriately specify the different aspects of a conceptual model of a kbs Language (1) Terminological knowledge (2) Generic inferences (3) Object/ meta level (4) Notion of states (5) Control KE DESIRE poor yes yes termination states of modules and the truth values of their atoms constructive by rules KARL rich yes limited a fixed set of dynamic variables containing sets of grounds facts constructive ... ..."

Cited by 11

### Table 1 gives the descriptive statistics for the volatility of the o-c returns of the three indexes. Each of the volatility series exhibits clustering, which needs to be captured by an appropriate model. Furthermore, all series appear to contain a number of observations which might legitimately be regarded as outliers.

### Table 4: Regression coe cients in (16) for di erent utilizations and queue statistics. Further analysis of the queue length data obtained from the simulations indicates that a logarithmic model may be an appropriate model for the queue length statistics studied. Speci cally, if Q refers to a given queue length statistic, the following model shows an excellent t:

1995

"... In PAGE 10: ... Figures 2(a)-(b) show this for a speci c example when u = 0:8: In Figure 2(a) there does not appear to be any trend in the residuals, and in Figure 2(b), the residual quantiles plotted against Standard Normal quantiles indicates a straight line trend, implying they are Normally distributed. From (16), the queue length statistic, Q; is given by Q = ea1 ea2 1 ea3d e : (17) This is a key observation in the design to follow: the queue length statistics increase exponen- tially with both 1 and d: Table4 shows the values of the coe cients (a1; a2; a3) for di erent utilization levels and for di erent queue statistics. We observe that: a2 and a3 are positive for all utilization levels, implying that the exponential trend is an increasing trend, not a decreasing one; a3 gt; a2 for all utilization levels, and their di erence is larger for larger utilizations.... ..."

Cited by 45

### Table 9. Parameter values and 2 statistics of the appropriate race model for each participant (P) for each visual angle of Experiment 3. Signi cance levels are calculated with 15 degrees of freedom for each visual angle. P Width KD KS DD DS SS SD Ter 2

"... In PAGE 39: ... All three race models t the data well, and it is di cult to distinguish between the curves on each graph. The best- tting parameters and 2 statistics for the appropriate ts are presented in Table9 . With thresholds held constant, the correct accumulation rates decreased as stimulus width increase.... ..."