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Table 3. Frequencies of the protein identification for original and reshuffled (RS) sequences based on probabilities estimated by leave-one-out cross- validation and logistic regression including the maximum LIPS probability and the peptide length at different thresholds.
"... In PAGE 3: ...hreshold of 0.9 results in an estimated 98.1% (95% lower-bound of 91.3%, based on cross-validation estimates) of correct protein identifications out of 103 total (see Table3 and Methods). A prob- ability between 0.... ..."
Table 5: Example 8.2, exact and estimated global L2{error using ^ . In Table 5 we present results using the local a posteriori error estimator ^ from (6.5). The jumps of the nonconforming function are weighted by the factor 1. This term dominates in ^ . Obviously, the order of convergence of this term is similar to that of ku ? uhk0. This leads to the fact that ^ is always an upper bound of the global error. In contrast, the quantities Cs^ completely overestimate the error. Following Remark 6.5 we have tested a modi ed a posteriori error estimator whose local terms have the form
1998
"... In PAGE 29: ... Following Remark 6.5 we have tested a modi ed a posteriori error estimator whose local terms have the form 2 T =h4 T kf+ uh?b ruh?cuhk2 0;T+X E @Th3 Ek [j ruh nEj]E k2 0;E+hEk( +hEkbk1;E) [juhj]E k2 0;E: The behaviour of ^ and di ers considerably, compare Table5 and 6. The jump terms of the nonconforming function are not longer dominant.... ..."
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Table 5: Example 8.2, exact and estimated global L2{error using ^ . In Table 5 we present results using the local a posteriori error estimator ^ from (6.5). The jumps of the nonconforming function are weighted by the factor 1. This term dominates in ^ . Obviously, the order of convergence of this term is similar to that of ku ? uhk0. This leads to the fact that ^ is always an upper bound of the global error. In contrast, the quantities Cs^ completely overestimate the error. Following Remark 6.5 we have tested a modi ed a posteriori error estimator whose local terms have the form
1998
"... In PAGE 29: ... Following Remark 6.5 we have tested a modi ed a posteriori error estimator whose local terms have the form 2 T =h4 T kf+ uh?b ruh?cuhk2 0;T+X E @Th3 Ek [j ruh nEj]E k2 0;E+hEk( +hEkbk1;E) [juhj]E k2 0;E: The behaviour of ^ and di ers considerably, compare Table5 and 6. The jump terms of the nonconforming function are not longer dominant.... ..."
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Table 2: Bits per pixel for weighted versus maximum a posteriori predictor
1999
"... In PAGE 5: ...2 Weighted Predictor Versus Maximum a Posteriori Pre- dictor Instead of weighting the predictors, it is possible to select the the predictor which has the maximum a posteriori probability for performing the prediction. As can be seen in Table2 , the weighted predictor outperforms the maximum a posteriori predictor.... ..."
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Table 1: Parameter Estimates for the Coordinating and Non-Coordinating Models
"... In PAGE 28: ... For 1994 and 1998 there is a signi#0Ccant tendency for electors who have higher values of #12 i to be more likely to vote than electors who havelower values of #12 i : conservative electors were especially mobilized in those two elections. *** Table1 about here *** In every year, the coordinating model passes the parameter-based tests of the conditions neces- sary for it to describe coordinating behavior. Table 2 reports the LR test statistics for the constraint #0B = 1, imposed separately for eachyear.... In PAGE 29: ... The House position was expected to be closer to the Democratic position in 1978, 1982, 1986 and 1990, closer to the Republican position in 1994 and 1998. The MLEs for #0B in the coordinating model are less than :5inevery year except one #28see Table1 #29, suggesting that electors expected the Presidenttobeweaker than the House in determining post-midterm policy. *** Table 4 about here *** The distribution of the ordering of electors apos; ideal points with respect to the post-election policies electors expect according to the coordinating model shows that the moderating mechanism of the coordinating model is capable of generating a midterm cycle of the kind emphasized by Alesina and Rosenthal #281989; 1995#29, though it need not do so.... In PAGE 37: ... NES survey respondents mayoverreport the frequency with which they vote. Among the 9,639 cases from years 1978#7B98 that we use to compute the parameter estimates reported in Table1 , the ! i -weighted percentage reporting having voted is, by year: 47.... In PAGE 38: ... 19. Table1 shows #0B 90 , #0B 94 , #1A 78 , #1A 86 , #1A 90 and #1A 98 to have MLEs equal to either 0:0or1:0, on the conceptual boundary of the parameter space. Consequently, the asymptotic distributions of the MLEs and the LR test statistics are complicated #28Moran 1971; Self and Liang 1987#29.... In PAGE 39: ...Table1 to tabulate that mixture distribution and estimate the con#0Cdence intervals of Table 3. 20.... In PAGE 48: ...524 .455 Note: Computed using the parameter MLEs in Table1 and 1978#7B98 ANES data. Table 5: Orderings of Ideal Points and Expected PartyPolicy Positions, byYear Ordering year #12 i #3C ~ #12 Mi ; ~ #12 i ~ #12 Mi #3C#12 i #3C ~ #12 i ~ #12 i #3C#12 i #3C ~ #12 Mi ~ #12 Mi ; ~ #12 i #3C#12 i #12 Di = #12 Ri amp; i =0 1978 19.... In PAGE 48: ... Entries show the percentage of electors in eachyear who have #12 Di #3C#12 Ri and the indicated ordering of ideal point and expected policy positions, or who have #12 Di = #12 Ri , or who lack policy position values #28 amp; i = 0#29. Computed using the parameter MLEs in Table1 and 1978#7B98 ANES data. Percentages for those with #12 Di #3E#12 Ri are, byyear: #12 i #3C ~ #12 i #285.... ..."
Table 1. Extraction methods and laboratory set-up of participants.
2004
"... In PAGE 4: ...bility of each laboratory to carry out the practical analysis. Each laboratory was provided with an interpretation sheet to record their results and a questionnaire to pro- vide information about the extraction and amplification procedures used; the responses are detailed in Table1 . In total, 15 data sets were reported for round 1 and 13 in round 2, comprising 2 from independent internal analysts and the remainder from independent external laborato- ries.... In PAGE 6: ...ceived by the laboratory, enabling corrective action to be taken. All but two of the participating laboratories used a commercial DNA extraction or clean-up reagent set to perform the sample extraction in round 1, and only one laboratory in round 2 used an in-house extraction method ( Table1 ). The majority of reagents chosen were suitable for extraction of bacterial genomic DNA from cell suspen- sion.... In PAGE 6: ... conclusions This scheme has highlighted several common analytical problems encountered by a wide sector of laboratories carrying out nucleic acid-based analysis. Many of the problems encountered were general issues in molecular analysis, such as inappropriate extraction or amplification procedures, PCR inhibition or contamination, poor label- ing and/or poor quality of gel photographs, and failure to record results correctly (see Table1 in the Data Supple- ment that accompanies the online version of this article at 1558... ..."
Table 1. The number of singly-sired fruits analyzed (N), the observed number of unique pollen donor genotypes (OPD) inferred from full-sib progeny arrays, and the estimated total number of pollen donors (EPD) and standard error (SE) for five E. cyclocarpum maternal individuals of study site FDL over 3 years
"... In PAGE 3: ...7 seeds/pod) in 1996. Pollen Donor Number Most pollen donors fathered a single pod, but a few sired two or three pods within an individual fruit crop ( Table1 , Figure 2). Some pollen donors also sired fruits on several trees, hence the observed number... In PAGE 4: ... Although such distributions do not allow estimates of the total number of pollen donors per tree (see above), they contribute data to the number of pooled pollen donors. Most pollen donors sired a single pod within the pooled fruit crops during each of the three years ( Table1 , Figure 2). The most pods attributed to the same pollen donor was five (by tree 787) in 1994 (three pods sired on tree 788 and two on tree 810).... In PAGE 5: ... Breeding areas of individual maternal trees estimated from the observed num- ber of pollen donors all exceed the 9.8 ha area of the FDL plot, as do breeding size estimates when pollen donor numbers are pooled for FDL ( Table1 ). When maximum pollen donor population size estimates are pooled over the study plot, estimated neighborhood areas exceed the 227 ha of the Stewart Ranch study area in all three years.... ..."
Table 4. Biological Characteristics of Seed Products of Major Crop Species
1999
"... In PAGE 33: ... informal organizations in the seed supply chain for a particular commodity. A description of the most important characteristics is presented in Table4 . They include the seed production method, sowing rate, multiplication factor, rate of deterioration, and the frequency of purchase (Cromwell, Friis-Hansen, and Turner 1992).... In PAGE 34: ... On the other hand, grain legumes are characterized by low multiplication factors and high seeding rates, and these are consequently the least attractive crops for commercial seed companies. The extreme example is groundnut, a self-pollinated crop with a multiplication factor less than 10 and a sowing rate of 125 kg per hectare ( Table4 ). The most economical way of producing groundnut seed would be to multiply and sell it locally to neighboring farmers without bagging or certification.... ..."
Table 2: Bits per pixel for weighted versus maximum a posteriori predictor
1999
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Table 2. Parameters of the local models obtained by different identification method.
2000
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