### Table 2: Part of the ANOVA decomposition of a MARS model with Mmax = 600 and Kmax = 2.

"... In PAGE 3: ... Kmax RMSE Kmax RMSE 1 0:2545 4 0:2025 2 0:2048 5 0:2041 3 0:1989 19 0:2098 Table 1: The RMSE for MARS models (Mmax = 300) for different Kmax. Table2 displays part of the ANOVA decomposition of a MARS model with Mmax = 600, Kmax = 2, and direct modeling of duration. 168 basis functions and a GCV of 306:8 remained after deletion of the ones not contributing to the prediction accuracy of the model.... ..."

### Table lc ANOVA decomposition summary df the MARS model for Example 3.1.

1988

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### Table IV. Input Selection via ANOVA decomposition in a Support Vector Machine.

### Table IX. Input Selection via ANOVA decomposition in a Support Vector Machine.

### Table 2a ANOVA decomposition summary of the MARS model on alternating current series circuit impedence, 2. gcv= 0.2311

1988

"... In PAGE 17: ... Owing to its increased interpretability we show the results of the mi = 2 model. Table2 a shows the ANOVA decomposition in the same format as Table lc. There is a purely additive contribution from xl(R), additive contributions from 22(w) and x4(C), and interactions amongst x2, x3(L), and x4.... In PAGE 17: ... The lower left frame shows that 2 is very small and roughly independent of w and C except -when they jointly have very small values, in which case the impedance increases dramatically. The lower right frame of Figure 2b shows that the C, L joint contribution is nearly additive, consistent with the weak contribution of the sixth ANOVA function ( Table2 a) to the MARS model. These interpretations are based on visual examination of the graphic representation of the ANOVA decomposition of the MARS approximation, based on a sample of size N = 200.... In PAGE 17: ... Since the data?n this case are generated from known truth one can examine the generating equation (22a) to verify their general correctness. Table2 b summarizes the results. of a simulation study based on 100 replications of data ran- domly drawn according to the above prescription (22a), (23), in the same format as Table Id.... ..."

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### Table lc summarizes the ANOVA decomposition of the final model. There are four ANOVA functions. The first three are additive functions on variables x3, ~4, and 25 respectively. The fourth

1988

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### Table 2a shows the ANOVA decomposition in the same format as Table lc. There is a purely additive contribution from xl(R), additive contributions from 22(w) and x4(C), and interactions

1988

"... In PAGE 17: ... The lower left frame shows that 2 is very small and roughly independent of w and C except -when they jointly have very small values, in which case the impedance increases dramatically. The lower right frame of Figure 2b shows that the C, L joint contribution is nearly additive, consistent with the weak contribution of the sixth ANOVA function ( Table2 a) to the MARS model. These interpretations are based on visual examination of the graphic representation of the ANOVA decomposition of the MARS approximation, based on a sample of size N = 200.... In PAGE 17: ... Since the data?n this case are generated from known truth one can examine the generating equation (22a) to verify their general correctness. Table2 b summarizes the results. of a simulation study based on 100 replications of data ran- domly drawn according to the above prescription (22a), (23), in the same format as Table Id.... ..."

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### Table 2. ANOVA table for the comparison of nine VDP apos;s.

2002

"... In PAGE 11: ... Table2 shows the results of the ANOVA decomposition for these data. The overall test for equality of the curves is (13,180.... In PAGE 20: ...t http://web.utk.edu/~ewalker/VDP/VDP.TXT. To construct Table2 , the following models were used using the data from shift A only: model.1 lt;- gam(VDP ~ bs(Depth, 16)) model.... ..."

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### Table 6 Number of Months on Supervision at Start of Thinking for a Change Group

2003

"... In PAGE 62: ...52, p = .085 (see Table6 ). Thus, the experimental and comparison groups were carefully matched to control for potential confounding factors.... ..."

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### Table 3. ANOVA table to compare groups of curves Source Edf SS

2002

"... In PAGE 12: ... The term Curve(Group) represents a nested effect that allows the levels of the curves to vary within each group and g(x, Curve(Group)) is a term that account for differences in form within groups. Table3 presents the ANOVA decomposition of model (2) which is similar to the analysis of covariance of a split-plot design with Group being the whole plot. Additionally, the sum of squares for Curve(Group) can be divided into m portions with i m-1edf, each portion due to differences in levels within a group.... In PAGE 13: ...2 needs to be carried out for each group. If the SSE apos;s for each group are similar, then the pooled SSE from Table3 can be used to construct the tests for all groups. 4.... ..."

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