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Table 2. Names and characteristics of the twelve fragments

in Evaluation-driven design of a . . .
by Andrei Popescu-Belis
"... In PAGE 9: ...f Mitkov et al. (2000). To be able to use several training/test sets, the VA and PG texts were fragmented into several blocks, respecting narrative coherence boundaries (cf. Table2 ). Only one block of ca.... ..."

Table 1. Twelve nodes and the corresponding probabilities to

in Accounting for Local Probabilities in Stochastic Modeling of Facies Data
by Pierre Goovaerts, Andre G. Journel
"... In PAGE 4: ...ACCOUNTING FOR LOCAL PROBABILITIES IN STOCHASTIC MODELING OF FACIES DATA SPE 29230 Di#0Berent steps for computing the target number of nodes are illustrated in Table 2 using the example of Table1 . For the sake of simplicity, only two classes of probability#5B0; 0:5#5D and #5B0:5; 1:0#5D are considered.... In PAGE 4: ... Note that the four target numbers of nodes sum up to the total numberofnodesn =12asit should. Several classi#0Ccations can honor these proportions; four of them are shown in Table1 . In practice, additional con- straints such as reproduction of variograms will guide the choice of a particular classi#0Ccation.... ..."

Table 1 FPD firms

in
by unknown authors 2003
"... In PAGE 6: ...Table1 shows the number of firms operating in three regions. All Asian firms active before 1989 were Japanese.... ..."

Table 8 Groups of firms

in Does Monetary Policy Have Asymmetric Effects? A Look at the . . .
by Eugenio Gaiotti, A A Look, Look At, T The, The Investment, Eugenio Eugenio, Gaio Gaiotti, Andrea Andrea Generale, Bank Of Italy, Working Orking, Working Orking, P Ppaper, P Ppaper, Andrea Andrea, Generale Generale
"... In PAGE 24: ... In the Italian case, characterized by a majority of unlisted firms, this dummy variable is meant to describe the behaviour of firms with excess cash. The number of total observations falling in each group and the intersections between groups are shown in Table8 . The proportion of small firms in the total sample is roughly the same as the proportion of small firms in the group with a high share of intangible assets.... ..."

Table 1: Sample of firms

in Managerial Actions, Stock Returns, And Earnings: The Case Of Business-To-Business Internet Firms
by Shivaram Rajgopal Assistant, Shivaram Rajgopal, Mohan Venkatachalam, Suresh Kotha 2002
"... In PAGE 19: ...irm, Open text, was dropped to restrict the sample to U.S. firms. Thus, the final sample consists of 57 B2B firms (see Table1 for the list). 3 We report the results of several sensitivity checks related to this specification in section 4.... ..."
Cited by 5

Table 3: Comparison of Firms

in SMALL SOFTWARE FIRMS IN INDIA: A DESCRIPTIVE ANALYSIS
by P. Vigneswara Ilavarasan
"... In PAGE 7: ... However, the paper presents them to provide a descriptive account of the industry enabling scope for further research. All three sets of firms were compared on the listed factors ( Table3 ). Comparison shows that PS firms reflect the trend in developed countries: located more on cluster, quality certified, slightly larger than LS firms, and have low product orientation.... ..."

Table 3: ADL(4) investment model for large and small firms all firms large firms small firms

in The Interest Rate and Credit Channels in Belgium: An Investigation with . . .
by Paul Butzen, Micr Micro-level, Micr O-level, Firm Firm, D Ddata, Working Orking, Working Orking, P Ppaper, P Ppaper, An An Investiga, An An Investiga, Philip Philip Vermeulen, Philip Philip Vermeulen, Vermeulen Vermeulen
"... In PAGE 18: ....1. Investment of a typical firm and investment by size We first estimate the ADL(4) model of investment augmented with cash flow, presented in equation (3), for the complete sample. Results are presented in Table3 (columns 2 and 3). The dynamics of the investment rate are driven by the coefficients on the lagged investment rate.... In PAGE 20: ... Due to stronger financial constraints, small firms might invest once they have the opportunity and available separately. The results, presented in Table3... In PAGE 22: ...cash flow, for construction and for services. The bottom section of Table3 shows the total effects together with their t-statistic. There is evidence of marked differences across sectors in the long-term effect of the user cost and value added (especially for large firms).... In PAGE 44: ...he results are presented below. Table B.1 considers all sectors combined and distinguishes between small and large firms. Comparison with Table3 confirms our previous findings that the total effect of past investment is negative for small firms and that small firms have a higher long-run elasticity with respect to cash flow. Tables B.... ..."

Table 1 Firm data

in 6 7 8
by Size Coal
"... In PAGE 26: ...127), based on the initial product-limit estimator. We use this method in our analysis of firms and find that the third iteration (which adjusts for presence of left-censored data) produces a stable survivor function that is very close to the first estimate of the survivor function determined by deleting the left-censored data ( Table1 ). The Klein and Moeschberger (1997) technique is based on increasing the number of other firms extant up to the time of the exit of each left-censored firm proportionately to the change in the survivor function.... ..."

Table 2 Firm Characteristics

in Dividend Changes as a Sign of Firm Maturity
by Gustavo Grullon, Roni Michaely, Bhaskaran Swaminathan 2002
"... In PAGE 14: ...he average dollar amount per dividend increase ($4.3 million). Thus, while a dividend decrease is rarer than a dividend increase, when it does happen it is a much more significant event in terms of the dollar amounts involved. Table2 reports various characteristics for dividend increasing and decreasing firms. The average increase in dividends is 29.... ..."
Cited by 2

Table 8: Healthcare firms

in Measuring Default Risk Premia from Default Swap Rates and EDFs
by Antje Berndt, Rohan Douglas, Darrell Due, Darrell Duffie, Mark Ferguson, David Schranz 2005
Cited by 5
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