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Table 3. Estimates for Generational Product Innovation N = 2617 organization-months, 2592 on-market observations, 72 generational product innovation events Piecewise-exponential distribution for calendar time (annual dummies); coefficients in hazard format (positive coefficient indicates greater rate of release)
2007
"... In PAGE 19: ... The table shows that the likelihood of failure declines with organizational size and market concentration, and increases with time since previous innovation. ********** Table 2 here ********** Table3 reports the second-stage analysis, which employed a nested approach to test the hypotheses. All models included random effects for the product organizations.... In PAGE 20: ...directions for our hypotheses, we present the results based on one-tail tests of significance. ********** Table3 here ********** Model 1 included all control variables, including baseline effects for the competitor innovation (CompetitionInnov) and complementary innovation (TechOppMP, TechOppOS) events. Among the three baseline external events, only the microprocessor innovation event was statistically significant.... In PAGE 21: ... Third, to provide a greater accounting for potential dependence among observations, we employed a conditional risk set approach by replacing the TotPrevInnov variable with a set of dummy variables representing the generational product innovation event that each organization was at risk for throughout the panel. The sensitivity analyses provide materially-equivalent results to those that Table3 reports. In addition, to examine potential differences in the complementary innovation effects across the Macintosh and Wintel platforms, we conducted separate analyses for product observations on the Macintosh and DOS/Windows platforms.... ..."
Table 2: Calendar properties
2004
"... In PAGE 9: ... We have identified a set of calendar properties applicable to many calendars. Table2 lists the properties. Calendars for which a particular property does not apply can ignore the value of the property, if it is defined.... ..."
Table 3. Calendar parameters
"... In PAGE 4: ... (In our case us is 15 minutes, and we use timeslots of sizes 1us up to 4us.) The parameters in Table3 define the resource calendar. The parameters m and us are fixed for long periods of time, the remaining can vary.... ..."
Table 4 Calendar
"... In PAGE 23: ... Since it is one of the aims of the proposed project to put some of the relevant hypotheses that have evolved from the co-operation in the past to more controled tests, in addition to the existing battery of elicited production tasks (see Apendix 2), a range of methodologies wil be employed including experimental techniques, and gesture analysis. The calendar of planned activities is summarized in Table4 . Three types of meetings wil ensure coherence and coordination throughout the project.... ..."
Table 2: Calendar Properties
"... In PAGE 8: ... We have identi ed a comprehensive set of calendar properties applicable to most of the calendars that we can imagine. Table2 lists the properties. Calendars for which a particular property does not apply can ignore the value of the property, if it is de ned.... In PAGE 16: ...he physical time-line introduced in Section 3.1 is, by necessity, nite. In this section, we discuss data values that are unique to time, and develop mechanisms by which events outside of the physical time-line can be represented. Table2 introduced the the concepts of beginning and forever, that is, special time values representing negatively in nite and positively in nite time, respectively.10 We discuss, in this section, applications of the special event values beginning and forever.... In PAGE 61: ...Operator Operand 2 span - interval span * interval span / interval interval + event interval - event interval * event interval / event event + interval event - interval event * interval event / interval numeric + interval numeric - interval numeric * interval numeric / interval interval + numeric interval - numeric interval * numeric interval / numeric interval + interval interval - interval interval * interval interval / interval Table2 0: Invalid Arithmetic Expressions (Part 2)... In PAGE 62: ...Properties The properties in Table2 can be classi ed as either timezone-related, format-related, input priority, or special time values. The locale property is used to specify a location for timezone displacement.... ..."
Table 6n3a Estimated resources appropriated here and elsewhere for fun2d ture collider studiesn2c in terms of fulln2dtime employees n28FTEn29 and annual expenditure for 1997 n28FY98 in USn29. The integrated cost over the pen2d riod shown is also givenn2c for the past by calendar yearsn2c for the future by number of years. The asterisk n2a marks cases in which the capital expenditure does not include personnel costs. Lab Collider FTE Budget Cost Period Currency
1998
"... In PAGE 19: ...b Includes ATFn2c Cn2d and Xn2dband linac Rn26Dn2c FFTBn2c etc. c Includes FFTBn2c NLCTAn2c ASTAn2c ASSETn2c klystron Rn26Dn2c structuresn2c pulse compressionn2c theoryn2c ZDR d Only personnel costs e Initial cooling experiment only Table6 summarises the estimated resources in fulln2dtime employees and ann2d nual budget for 1997n2c appropriated for the ongoing studies of future colliders... ..."
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Table 1 gives the median absolute percentage error (MedAPE) statistics for several different configurations of the wavelet-based predictor when no outbreaks were injected. The left columns (blue) are based on a 5-level HAAR wavelet, with a 128-day sliding window for the 7- day AR and full DOW and holiday preconditioning. The middle columns (green) are based on the same technique but without removing the DOW effect, clearly showing the need to deseasonalize the data before applying the wavelet transform. Similarly, the right columns (orange) are based on the same prediction technique but without accounting for calendar holidays. Interestingly, holidays seem to impact the prediction results more for respiratory count time series (containing DOW and annual variations) than the GI count time series.
"... In PAGE 4: ... Table1 . MedAPE of the residuals for GI and respiratory count series comparing the prediction performance of three variations of the wavelets-based algorithm for both 1 and 7-day ahead predictions 4.... ..."
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