### Table 2: Symbolic notation for various ranges of p-values with qualitative explanations of their meaning.

"... In PAGE 15: ... A related metric to indicate how strong the evidence supporting this hypoth- esis is the p-value. In Table2 , we introduce symbolic notation indicating in qualitative terms which evidence range is meant by which p-value. For instance, when a p-value is smaller than 0.... In PAGE 16: ...the single-star category. This means according to Table2 that there is no evidence to reject the null hypothesis. In other words, there is no evidence, based on this formal test, that the counting practice of counter i1 differs from the counting practices of any of the other function point counters.... In PAGE 17: ...2472, and the p-value is 0.0075, which is a strong indication that both distributions are not the same (see Table2 ). This means that there are counting differences, when compared to the group level.... In PAGE 19: ... Indeed in Figure 8 we depicted both cumulative distributions. Recall from Table2 that a single star means that there is... In PAGE 25: ...istance between both CDFs is at most 0.0683. The chance that this is a coincidence is rather small and the p-value gives 0.7168, indicating that there is no evidence that both distributions differ (see Table2 ). This implies that either the planned estimates are miraculously accurate, or that there is an error in the reporting process.... In PAGE 59: ...igure 38). Most important for our purpose is that the p-values are well above 0.10, implying that there is no evidence to reject the hypothesis that the fitted AR(2) model is inadequate (cf. Table2 ). For more information on portmanteau test statistics we refer to [8, p.... In PAGE 83: ...Table2 , we find that there is no evidence to reject the null hypothesis that there are no ARCH-effects. 8.... In PAGE 127: ...3 Residuals Figure 91: Lowess smooths of the audit series, its cleaned version, and their residuals. ARCH-effects (see Table2 for interpretations of p-values). Since in addition the shape of the super smooth is not too wiggly, it seems a fair estimator of the macroscopic properties of the audit set or its cleaned version.... ..."

### Table 17: Explanation of an Anomalous NDE Signal

"... In PAGE 32: ... AbMaL was given queries such as cracked(block35)? and produced explanations supporting such conclusions. The explanation shown in Table17 is generated for a test signal taken from a partic- ular block. Given a qualitative description of a signal such as the one shown in figure 3, AbMaL produces an explanation that identifies the first and last spikes in the signal as reflections from the front and back surfaces of the block.... ..."

### Table 6.1 shows a comparison of the model parameters estimated for the Clyde Building, the Crabtree Building, and estimated in the paper by Saleh and Valenzuela. The most obvious discrepancy is in the estimates for the value of . The explanation for this is quite straightforward. There were signi cantly more clusters observed in both the Clyde and

in Modeling the Statistical Time and Angle of Arrival Characteristics of an Indoor Multipath Channel

2000

Cited by 36

### Table 2. Bound-Sharp Explanations of Term Values

"... In PAGE 11: ... We will rstly present the term level of this scheme, then we detail the scheme for a representative part of the range level. Table2 presents the computation scheme for the term level. The explanation of the domain-elements is straightforward using the notations of Sect.... ..."

### Table 1. General explanations of summarized episodes corresponding to clustered ineffective HMMs

"... In PAGE 7: ... Ideally, this combination of computational and qualitative analyses should provide insight as to why the students may be experiencing knowledge sharing breakdowns, so that an online computer coach or human instructor is better able to guide and support the group interaction. Qualitative Analysis Table1 shows the four generalized models that were found from the groups of ineffective examples (Ai , Bi , Ci , and Di, from Figure 2). Each column in the table summarizes the interaction that occurred during the knowledge sharing episodes in the corresponding group, discovered through the quantitative analysis.... ..."

### Table 4 : QUALITATIVE SUMMARY of QUASAR CORRELATIONS FeII strong ========= gt; weak

"... In PAGE 22: ... Finally, although no direct correlation of variability with Fe II strength has been shown, it is clear that narrow-lined AGN have quite dramatic X-ray variability (Boller et al 1996). Table4 summarises all these somewhat confusing trends. Boroson and Green (1992) argued that viewing angle is unlikely to be the explanation their \eigen vector 1 quot; , because [OIII] is likely to be isotropic, being optically thin and coming from large radii.... ..."

### Table 3. Overview over the AVCast tests. See the text for an explanation of the abbreviations

2005

"... In PAGE 79: ... Feed Forward Router L2 L1 Backbone Link Backbone Link R3 C1 C5 C4 R4 User Network Link User Network Link R5 L3 L4 R2 R1 Access Point User WLAN BROADWAN Access Network Routers bw3 bw4 bw5 bw6 bw7 bw8 0 4 4 1 1 2 4 1 4 0 1 Rendezvous Point Figure 97. Configuration of the USA BROADWAN All-IPv6 testbed for the AVCast tests (dashed = optional components, only used in some tests) Table3 presents a summary over the planned AVCast tests and their parameters. The parameters that are varied during the tests include the block duration, which video files are used (Main video, Extended video file = Ext), whether the test is performed using temporal scalability layering (TS) and/or qualitative scalability layering (QS), whether some links will be (simulated) wireless connections (WL), if multiple senders and/or receivers will be used (Concurrency = Con), and whether dynamic multicast routing is employed (Dyn).... ..."

### Table 2. Properties of mechanisms in settings with 2 agents and 5 outcomes. (Explanation in text.)

"... In PAGE 8: ...2202. The same statement is true with uniform priors, and also with 5 possible outcomes ( Table2 ). It would not be straightforward to reformulate the optimization problem in such a way that only the more comprehensible probabil- ities of 0.... ..."

### Table 2: Computational Complexity of Finding Best Explanations Using the Best-Small Plausibility Criterion

"... In PAGE 17: ... While the explanation this algorithm nds will match up qualitatively to any other explanation, there might be other \qualitatively best quot; explanations, which might be judged better based on more precise plausibility information. Table2 summarizes the results of this and the previous section. 6 A Real-World Application of Abduction|Red Blood Antibody Identi cation 6.... ..."

### Table 3: Qualitative factors Qualitative factors Rating

"... In PAGE 2: ...153). Based on the three dimensions of learning (Illeris, 2004), and through a number of synectics sessions, we collected 49 types of learning activities which were categorized into 7 qualitative factors ( Table3 ). We also studied the rating of respective learning activities associated with the 7 qualitative factors (Table 4, 5, 6, 7, 8, 9, and 10).... ..."