"... In PAGE 11: ... Here we subject our series for all three countries to a variety of non-linearity tests to investigate the extent and nature of non- linearities that may be present. The results are summarized in Table3 . The sample periods used for each country in this analysis cover the longest period over which most variables are available.... In PAGE 12: ...1998) they are not informative about the type of non-linearity. Potentially more informative tests for non-linearity relating to the conditional mean are the RESET test (of Ramsey, 1974) and the neural net (NN) test (of Lee, White and Granger, 1993), results for both of which are included in Table3 . To investigate non- linearities in the conditional variance we also report the autoregressive conditional heteroscedasticity (ARCH) test ( Engle, 1982).... In PAGE 17: ... It is only for Germany, where the mean non-linearity (according to the NN test) is confined to the monetary aggregates, that the results do not carry over to business cycle mean asymmetries. The association between the ARCH test results of Table3 and the volatility asymmetry results of Table 4 is less clear than those for mean effects. Our conclusion, therefore, is that ARCH effects may be due to more factors than the business cycle.... ..."

"... In PAGE 9: ...We define the typing of processes, abstractions, and concretions using the rules in Table3 . The type system conservatively generalises the prior type (effect) system for Homer [13], which we can obtain by removing the (embed) rule and taking S to be a singleton set, making it possible to delete all references to sorts from abstraction and concretion types, and completely remove side-conditions and environments.... ..."

"... In PAGE 15: ...ig. 20. Mean pulse height/energy vs. energy for pions. example, in the case of 8 : 2 con quot;guration of T411 beam test, the average density of the calorimeter module was 6.69 g/cm3 ( Table7 ). SPACAL group obtained lateral size parameter j1 quot;17.... ..."

"... In PAGE 109: ...Table4 : Results for the updating routine of the software package when used as a tool for nding L from scratch. Times are given in seconds.... ..."

"... In PAGE 9: ... In order to have easy interpretable models, we have fixed the maximal number of terms in the equation to be equal to 8 and the maximum degree of polynoms to be equal to 3. The calculations performed using the select params option of the ANALYSIS are summarized in Table1 . The number of stored models was 3.... In PAGE 9: ... It was shown that the use of significant variables, as detected by MUSEUM, = improved PLS results (compare data in column 7 vs. column 6 in Table1 ). The similar tendency was also observed if only variables found to be relevant by the PNN algorithm were used in the cross-validation calculations (compare the last and 7 columns of Table 1).... In PAGE 12: ... b Number of significant PLS components. c The cross-validated q2 calculated using input variables optimized by MUSEUM approach (unless not stated otherwise the PLS results are from Table1 and 15 of (2)). d Number of input variables selected by PNN.... ..."

"... In PAGE 3: ... 3. Results About 90 % of all the signals were found stationary during both positions ( Table1 ). At least 50 % of all the stationary recordings were found to contain significant non-linearities (p lt;0.... ..."

"... In PAGE 4: ... Also, equa- tion (17) simpli es to, jmw(a; r) = A Njmw(n) a 6 (5+n) r? : (20) So, the task of comparing the amplitude of to the N- body calibrated formula simpli es to a comparison of the normalization constants Nsc(n) and Njmw(n). The results for the cases n = 0; ?1; and ?2 are shown in Table1 . Note that, for the n = ?2 case, the agreement between our prediction and the N-body data is better than indicated in the table because, as noted by JMW, their formula underestimates the non-linear amplitude of for this spectrum.... ..."