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Table 1. An ordinary MCQ

in Problems and Solutions for Markup for Mathematical Examples and Exercises
by Georgi Goguadze, Erica Melis, Carsten Ullrich, Paul Cairns 2003
"... In PAGE 8: ... Let us show how the above representation covers exercises with sub-exercises as well as nested exercises. Table1 to 3 show difierent kinds of MCQs that are covered and Figure 1 schematically illustrates their structure. While Table 1 contains an ordinary, non-nested MCQ, Tables 2 show a nested MCQ and and Table 3 an MCQ with subtasks using an external theorem prover.... ..."
Cited by 6

Table 3 Ordinary

in Stock returns and volatility: A firm-level analysis
by Gregory R. Duffee 1995
"... In PAGE 12: ... Over 1926-1976, 983 firms are delisted because of merger or exchange, while 100 firms are delisted because of bankruptcy, liqui- dation, or failure to meet listing guidelines. Table3 documents that survivors are, on average, much larger than nonsur- vivors. The median survivor has a mean year-end market capitalization of $311 million, while the corresponding figure for the median nonsurvivor is $45 mil- lion.... ..."
Cited by 11

Table 1. An ordinary MCQ

in Problems and Solutions for Markup for Mathematical Examples and Exercises
by Georgi Goguadze, Erica Melis, Carsten Ullrich, Paul Cairns 2003
Cited by 6

Table 6: Rebooting convergence experiment. S-A-P uses signature amortization across peers: we sign common messages resulting from the same Update message only once. S-A-B also uses signature amortization across buffers: we build a hash-tree on messages in buffers awaiting release by MRAI timers.

in Evaluation of efficient security for BGP route announcements using parallel simulation
by David M. Nicol, Sean W. Smith, Meiyuan Zhao 2004
"... In PAGE 14: ... If we couple this technique with RSA, we obtain the benefits of fast verification, with the advantage of reduced signing cost. Table6 shows this, where for reference we include the behaviour of ordinary BGP and of the highly optimized cpDSA approach. S-A-P reflects the behavior when the signature is amortized only over the peers, S-A-B reflects the behavior when the signature is amortized over buffers.... ..."
Cited by 10

Table 4. Algorithm for ordinary lumping

in Generalized Semi-Markovian Process Algebra
by Mario Bravetti, Marco Bernardo, Roberto Gorrieri, Mura Anteo Zamboni 1997
"... In PAGE 55: ...ect. 5.6). We determine an ordinary lumping of Z by using the procedure shown in Table4 . This procedure is an adaptation to our framework of the algorithms presented in [11] and [29].... ..."
Cited by 6

Table 6. Ordinary Bootstrap Results.

in Bias and Variance of Validation Methods for Function Approximation Neural Networks Under Conditions of Sparse Data
by Janet M. Twomey, Alice E. Smith, Senior Member Ieee 1998
"... In PAGE 17: ... 4.4 Comparison of Bootstrap Versions The results of the ordinary bootstrap are presented in Table6 for levels of bootstrap samples, B = 1, 2, 5, 10, 20, 50, 60 and 100. Almost counter-intuitively, the results do not indicate improved accuracy of c36 Err with an increase in B.... ..."
Cited by 11

Table 3. Peer Variables

in Table of Contents
by unknown authors 1119
"... In PAGE 3: ...able 2. System Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Table3 .... In PAGE 19: ....2.3. Peer Variables Table3 shows the complete set of peer variables. In addition to the common variables described previously, the following variables are used by the peer management and measurement functions.... In PAGE 57: ... quot; in the name. For those commands that return a list of assignments in the response data field, if the command data field is empty, it is expected that all available variables defined in Table3 or Table 4 will be included in the response. For the read commands, if the command data field is nonempty, an implementation may choose to process this field to individually select which variables are to be returned.... ..."

Table 3. Peer Variables

in Table of Contents
by unknown authors 1119
"... In PAGE 3: ...able 2. System Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Table3 .... In PAGE 19: ....2.3. Peer Variables Table3 shows the complete set of peer variables. In addition to the common variables described previously, the following variables are used by the peer management and measurement functions.... In PAGE 57: ... quot; in the name. For those commands that return a list of assignments in the response data field, if the command data field is empty, it is expected that all available variables defined in Table3 or Table 4 will be included in the response. For the read commands, if the command data field is nonempty, an implementation may choose to process this field to individually select which variables are to be returned.... ..."

Table 6 Peer

in Nonlinear vector filtering for impulsive noise removal from color images
by M. Emre Celebi, et al.
"... In PAGE 8: ...65 Essentially, the peer group of a pixel in a given window represents the set of neighboring pixels that are sufficiently similar to it according to a particular measure. Table6 shows the mathematical expressions for these fil- ters. 2.... ..."

Table 1 Ordinary Least Squares

in Comparing Wealth Effects: The Stock Market vs. the Housing Market,” NBER Working Paper No
by John M. Quigley, John M. Quigley, Robert J. Shiller, Robert J. Shiller 2001
"... In PAGE 11: ... IV. Statistical Results Table1 presents basic statistical relationships between per capita consumption, income, and the two measures of wealth. The first three columns present regression results for the panel of countries (228 observations on 14 countries), while the next three columns report the results for the panel of states (3498 observations on 50 states and the District of Columbia).... ..."
Cited by 2
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