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Table 7: Optimality gap estimates for the global problem

in A stochastic programming approach for supply chain network design under uncertainty
by Tjendera Santoso, Shabbir Ahmed, Marc Goetschalckx, Alexander Shapiro 2003

TABLE II For the road travel distance estimation problem, average error of three estimators and the result of voting and stacking. Estimators

in Techniques for Combining Multiple Learners
by Ethem Alpaydin 1998
Cited by 8

Table A.2 Estimates for the Ohio Voter Problem

in An Information Theoretic Approach to Ecological Estimation and Inference
by George G. Judge Ý, Douglas J. Miller, Wendy K. Tam Cho, Bruce Cain, David Freedman, Marian Grendar, Gary King, T. C. Lee, Ken Mccue, Art Owen, George Judge, Douglas J. Miller, Wendy K. Tam Cho

Table 1. Action Point Template Problem Area: Planning and Estimation Problem: Action Point Actor Validation plan Validation

in Final Confidentiality
by Outi Salo, Minna Pikkarainen
"... In PAGE 18: ...eeded for quantitative validation. Also, the responsibilities and schedules for validation tasks (e.g., data collection and analysis) should be defined at this point. A structured document template ( Table1 ) [see also (Salo 2005)] can be used in supporting the planning, managing and storing of the improvement actions in PIWs. The goal of the template is to provide guidance for the facilitator and the project team on the issues to be considered for every agreed improvement action.... ..."

Table 8: Coverage probabilities of approximate con dence regions for the vector parameter in the Lq estimation problem of Section 7.

in The Estimating Function Bootstrap
by Feifang Hu , John D. Kalbfleisch 1999
"... In PAGE 27: ... In the rst simulation we took ci = 1 and in the second, we consid- ered heteroscedastic errors with ci =0:1i; i =1;:::;20. Simulation results are reported in Table8 for estimation of the vector parameter and in Table 9 for estimation of 3. Table 8: Coverage probabilities of approximate con dence regions for the vector parameter in the Lq estimation problem of Section 7.... ..."
Cited by 1

Table 8: Coverage probabilities of approximate con dence regions for the vector parameter in the Lq estimation problem of Section 7.

in The Estimating Function Bootstrap
by Feifang Hu, John D. KALBFLEISCH, John D 1999
"... In PAGE 27: ... In the rst simulation we took ci = 1 and in the second, we consid- ered heteroscedastic errors with ci =0:1i; i =1;:::;20. Simulation results are reported in Table8 for estimation of the vector parameter and in Table 9 for estimation of 3. Table 8: Coverage probabilities of approximate con dence regions for the vector parameter in the Lq estimation problem of Section 7.... ..."
Cited by 1

Table 1 Estimated hardness of our test problems.

in General Terms Algorithms, Performance, Theory.
by Yossi Borenstein
"... In PAGE 5: ...Table1 gives our (predicted) measure of difficulty by problem, showing that our measure fully matches results obtained in previous research. In particular, multimodality is not a good indicator to problem difficulty.... ..."

Table 6.7: Comparing Dif{estimators for large problems.

in unknown title
by unknown authors 1996
Cited by 17

TABLE 2: Search Effort of the GA and Reliability Estimation Performance. Problem Search

in Genetic Algorithm Design Of Networks Considering All-Terminal Reliability
by Berna Dengiz, Fulya Altiparmak, Alice E. Smith 1997
Cited by 3

Table 6 Optimality gap estimates for the domestic problem N

in A stochastic programming approach for supply chain network design under uncertainty
by Tjendera Santoso, Shabbir Ahmed, Marc Goetschalckx, Alexander Shapiro 2004
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