### Table 4.Details of model parameters with the statistical analysis Sub-parts

"... In PAGE 10: ... In this zone the RSSI does not comply with the log distance model, thus limiting the data fitting of the RSSI measurements in the range of 1-9 km. Using the aforementioned expressions (section IV), the details of the model parameters (n, and ) with 95% confidence interval and the statistical analysis for the sub- routes as well as the overall route are presented in Table4 . From Table 4, we can say that the predicted model, equation (5), fits well with the measured data for the high density urban areas routes (King Abdulaziz amp; Prince Faisal Roads) than urban areas routes (Olaya street and Khurais Road).... ..."

### Table 2: Data and analysis. For details on the statistical tests applied cf. Blalock, 1976.

2003

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### TABLE 3. Expected number of events in the tagged analysis. The rst error is statistical. The second is systematic. The systematic errors are detailed in Table 4. The error on the combined background assumes 100% correlation between the errors on the W and tt backgrounds.

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### Table 1. Sequential parameter optimization. This approach combines methods from computational statistics and exploratory data analysis to improve (tune) the perfor- mance of direct search algorithms. It is detailed in Bartz-Beielstein (2006).

### Table 1. Data Statistics

2005

"... In PAGE 2: ... These 3,878 researchers are used as the analysis targets. Table1 describes detailed statistics of the data. 2.... ..."

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### Table 1. SCOP folds selected for detailed analysis

2003

"... In PAGE 7: ... These SSEs would then correspond to the most strongly conserved re- gions of the structural motif. To test this hypothesis, we examined the conservation values of pairs of aligned SSEs for structures in seven different highly populated and di- verse SCOP folds ( Table1 ). For each fold, this analysis was restricted to statistically significant alignments of structures appearing in the low sequence identity database of 2448 SCOP domains used in this study.... ..."

### Table 5.2 contains the detailed statistics, collected from a one million-words corpus, showing distribution of the number of tags occurring in a morphological analysis. At most 23 tags are observed in a single parse.

2006

### Table 4: Descriptive statistics

2007

"... In PAGE 6: ...List of Tables Table 1: Determinants of Bus Running Time 6 Table 2: Sample of AVL data 12 Table 3: Variable description 18 Table4 : Descriptive statistics 23 Table 5: Regression model results 24 List of Figures Figure 1: Route 17 1 Figure 2: Route 17 trip patterns 13 Figure 3: Levels of analysis 14 Figure 4: Route 17 study sections 15 Figure 5: Sample Trip Patterns 20 Figure 6: Route 17 run time distribution sample AM East-bound 21 Figure 7: Route 17 run time distribution sample: PM West-bound 22 ... In PAGE 29: ... Statistical analysis The second analysis that the research team conducted using the Route 17 data is a detailed statistical analysis of the time point segment data. Table4 includes a list of summary statistics of all variables used in this analysis. Actual running times range between 21 to 8869 seconds.... ..."

### Table 5. Detailed results about monolingual track.

2002

"... In PAGE 6: ...f only title and description fields. Table 3 shows official results. As in the previous editions, our monolingual system competed very well with the best performing systems, as shown in Table 4. A more detailed analysis of results, reported in Table5 , confirmed that the combination of statistical LM approach and Okapi formula is quite effective. Moreover, it is worth noticing that statistical approach performs better when the number of content words in the query augments, i.... ..."

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### Table 2 shows results for randomly generated formulae [5], showing the effects of each of the three major extensions that we propose. It should be noted that working on simpler formulae and smaller automata offsets most of the additional cost of minimiza- tion. One can see from Table 2 that the reduction in transitions and fair sets corresponds to an increase in the number of terminal automata. Though we do not present a detailed analysis of the dependence of the results on the statistics of the formulae (number of nodes, number of atomic propositions, and percentage of temporal operators), we have observed the same trends reported in [5].

2000

"... In PAGE 15: ... Table2 . Results for 1000 random formulae with parse graphs of 15 nodes, using 3 atomic propo- sitions, and uniform distribution of the operators (CN, CM, CG , CD , CA ) for the internal nodes.... ..."

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