### Table 5 Results of compression on different clips

2004

"... In PAGE 13: ... After quantization, Huffman coding is employed and required bits per sample with PSNR are computed and tabulated for different clips. Two signals used in the earlier sections are again considered and results of compression are com- piled in Table5 . It is observed that matched wavelet discussed here gives better results for compression as compared to standard wavelets biorthogonal 9=7 and 5=3: Discussion on results obtained: On comparing matched wavelet with the standard wavelets Bi 9=7 and Bi 5=3; it is observed that good results of compression are obtained for the matched wave- lets for both biorthogonal compactly supported wavelet as well as semi-orthogonal infinitely/... ..."

### Table 1 Unconditional Daily Return Distributions

"... In PAGE 9: ... - 8 - A voluminous literature, seeking to characterize the unconditional distribution of speculative returns, has evolved over the past three decades. 14 Consistent with this literature, the summary statistics in Table1 show that the daily DJIA returns analyzed here, r j,t , have fatter tails than the normal and, for the majority of the stocks, are also skewed to the right. 15 Quite remarkably, however, the next set of numbers in Table 1 indicate that all of the thirty standardized return series, r j,t /v j,t , are approximately unconditionally normally distributed.... In PAGE 9: ... 14 Consistent with this literature, the summary statistics in Table 1 show that the daily DJIA returns analyzed here, r j,t , have fatter tails than the normal and, for the majority of the stocks, are also skewed to the right. 15 Quite remarkably, however, the next set of numbers in Table1 indicate that all of the thirty standardized return series, r j,t /v j,t , are approximately unconditionally normally distributed. 16 In particular, the median value of the sample kurtosis is reduced from 5.... In PAGE 9: ... Of course, in the context of a continuous time diffusion, both of these results are to be expected, and thus indirectly suggest that for the sample period analyzed here, jumps in the underlying price processes may be relatively unimportant. The results in Table1 also imply that the unconditional distribution for the returns should be well approximated by a continuous variance mixture of normals, as determined by the unconditional distribution for the mixing variable, v j 2 ,t . The following section details this distribution.... ..."

### Table 3 Unconditional Daily Covariance and Correlation Distributions

"... In PAGE 11: ...3 Covariances and Correlations The realized covariance matrix for the thirty DJIA stocks contains a total of 435 unique elements. In Table3 we report the median value of the sample mean, standard deviation, skewness, and kurtosis for the covariances and correlations for each of the thirty stocks with respect to all of the twenty-nine other stocks; i.e.... ..."

### Table C : The Matrix of unconditional correlations in the data and in the model

2007

### Table 1: Quantile estimates for Mexico index. Negative quantiles are the unconditional Value-at-Risk.

"... In PAGE 10: ... We experimented with its arguments and found a good fit by setting the cosine window and the number of points used in the computations, n , equal to 100. Table1 shows the quantiles obtained from the DDP fit and the empirical ones for the Mexico index. The minimum and maximum of this data set (before standard- ization) are respectively -21.... In PAGE 11: ...31.24. It would be interesting to contrast the DDP and empirical quantile estimates to classical procedures and EVT estimates. Table1 also gives the normal and the t4 basedquantileswithlocationandscaleestimated using the classical sample mean and sample standard deviation. More robust quantiles estimates based on the t4 withthemedianandmad(constant=1.... In PAGE 11: ... These estimates are very sensitive to the choice of number of observations in the tails. Estimates given in Table1 are based on 14 and 21 observations on the left and right tail, respectively. This choice makes the thresholds equal to -5.... In PAGE 11: ...o 1.07% and 1.61%, similar to those used by the DDP estimates. Of course, it is possible to EVT estimate only quantiles associated to probabilities smaller than the chosen proportions in the tail. In order to compare the estimates givenin Table1 weobservethattheempir- ical and the EVT estimates are unable to estimate certain quantiles. The normal assumption with maximum likelihood estimates underestimate quantiles on the ex- treme tails.... ..."

### Table 21

2004

"... In PAGE 70: ... Properties for geographical statistics country_codes_file_name Path and file name for the country codes file containing the names and short names for most of the countries in the World. Table2 6: Supported properties of the properties file 2. The structure of access log files The apache web server of the www.... ..."

Cited by 2

### Table 19 contains frequent two-itemsets of the geographical groups.

2004

Cited by 2

### Table 23 contains frequent three-itemsets of the organizational groups:

2004

Cited by 2

### Table 1: Musical Categories and Individual Compact Discs

"... In PAGE 2: ... Our method is to design a series of controlled laboratory experiments in which we can elicit values over some real commodity. We have subjects make group choices over five musical categories such as the list of five in bold in Table1 . Subjects ranked the categories and circled one CD within each category, and group members then received the circled CD from the winning category as determined by the group vote.... In PAGE 11: ... Given that our objective is to obtain a preference ranking over categories from individuals, this serves to reduce the likelihood that an individual would rank categories based on the expected price of the CDs within the categories. In each experiment subjects were asked to rank five different categories of music, such as the categories shown in Table1 . They were told that one category of music would be chosen for the group and that the category would be determined by a group vote.... ..."

### Table 5.1 Comparison of wireless sensor network based applications with BriMon

2007