The use of cross validation in the analysis of designed experiments | Paper Citation Record

Observation 53d66463-f0b1-4c45-8c50-4c3186748be5 · outbound

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Reference 1

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Reference 2

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This paper cites Ramezan, C., A.

The use of cross validation in the analysis of designed experiments Ramezan, C., A

Reference 3

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Reference 4

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This paper cites (1974), A new look at the statistical model identification, IEEE transactions on automatic control, 19, 716--723.

The use of cross validation in the analysis of designed experiments (1974), A new look at the statistical model identification, IEEE transactions on automatic control, 19, 716--723

Reference 5

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This paper cites (2022 a ), Design choice and machine learning model performances, Quality and Reliability Engineering International, 38, 3357--3378.

The use of cross validation in the analysis of designed experiments (2022 a ), Design choice and machine learning model performances, Quality and Reliability Engineering International, 38, 3357--3378

Reference 6

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Reference 7

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This paper cites (2021), Machine learning and design of experiments with an application to product innovation in the chemical industry, Journal of Applied Statistics, 1--26.

The use of cross validation in the analysis of designed experiments (2021), Machine learning and design of experiments with an application to product innovation in the chemical industry, Journal of Applied Statistics, 1--26

Reference 8

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Reference 9

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This paper cites and Celisse, A.

The use of cross validation in the analysis of designed experiments and Celisse, A

Reference 10

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This paper cites (2024), Cross-validation: what does it estimate and how well does it do it? Journal of the American Statistical Association, 119, 1434--1445.

The use of cross validation in the analysis of designed experiments (2024), Cross-validation: what does it estimate and how well does it do it? Journal of the American Statistical Association, 119, 1434--1445

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.892990Z

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This paper cites (1999), Beating the hold-out: Bounds for k-fold and progressive cross-validation, in Proceedings of the twelfth annual conference on Computational learning theory, pp.

The use of cross validation in the analysis of designed experiments (1999), Beating the hold-out: Bounds for k-fold and progressive cross-validation, in Proceedings of the twelfth annual conference on Computational learning theory, pp

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.881945Z

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The use of cross validation in the analysis of designed experiments Unresolved cited work

Reference 13

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The use of cross validation in the analysis of designed experiments Unresolved cited work

Reference 14

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The use of cross validation in the analysis of designed experiments Unresolved cited work

Reference 15

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This paper cites (1992), The little bootstrap and other methods for dimensionality selection in regression: X-fixed prediction error, Journal of the American Statistical Association, 87, 738--754.

The use of cross validation in the analysis of designed experiments (1992), The little bootstrap and other methods for dimensionality selection in regression: X-fixed prediction error, Journal of the American Statistical Association, 87, 738--754

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.840334Z

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The use of cross validation in the analysis of designed experiments Unresolved cited work

Reference 17

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The use of cross validation in the analysis of designed experiments Unresolved cited work

Reference 18

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This paper cites C., Dean, A.

The use of cross validation in the analysis of designed experiments C., Dean, A

Reference 19

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This paper cites K., and Holena, M.

The use of cross validation in the analysis of designed experiments K., and Holena, M

Reference 20

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This paper cites and Wainer, J.

The use of cross validation in the analysis of designed experiments and Wainer, J

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.787660Z

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This paper cites and Jones, B.

The use of cross validation in the analysis of designed experiments and Jones, B

Reference 22

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This paper cites F., Alateyah, A.

The use of cross validation in the analysis of designed experiments F., Alateyah, A

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.766405Z

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The use of cross validation in the analysis of designed experiments Unresolved cited work

Reference 24

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This paper cites (2021), Package ‘glmnet’, CRAN R Repositary, 595.

The use of cross validation in the analysis of designed experiments (2021), Package ‘glmnet’, CRAN R Repositary, 595

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.741537Z

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This paper cites (1975), The predictive sample reuse method with applications, Journal of the American statistical Association, 70, 320--328.

The use of cross validation in the analysis of designed experiments (1975), The predictive sample reuse method with applications, Journal of the American statistical Association, 70, 320--328

Reference 26

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The use of cross validation in the analysis of designed experiments Unresolved cited work

Reference 27

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This paper cites C., Luber, E.

The use of cross validation in the analysis of designed experiments C., Luber, E

Reference 28

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This paper cites M., Clemente, R.

The use of cross validation in the analysis of designed experiments M., Clemente, R

Reference 29

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This paper cites (2013), An introduction to statistical learning, vol.

The use of cross validation in the analysis of designed experiments (2013), An introduction to statistical learning, vol

Reference 30

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This paper cites K., and Nachtsheim, C.

The use of cross validation in the analysis of designed experiments K., and Nachtsheim, C

Reference 31

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This paper cites R., Gul, E., and Ba, S.

The use of cross validation in the analysis of designed experiments R., Gul, E., and Ba, S

Reference 32

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The use of cross validation in the analysis of designed experiments Unresolved cited work

Reference 33

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This paper cites (2022), Multi-object optimization of Navy-blue anodic oxidation via response surface models assisted with statistical and machine learning techniques, Chemosphere, 291, 132818.

The use of cross validation in the analysis of designed experiments (2022), Multi-object optimization of Navy-blue anodic oxidation via response surface models assisted with statistical and machine learning techniques, Chemosphere, 291, 132818

Reference 34

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The use of cross validation in the analysis of designed experiments Unresolved cited work

Reference 35

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This paper cites J., Leahy, D.

The use of cross validation in the analysis of designed experiments J., Leahy, D

Reference 36

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This paper cites (2013), Applied predictive modeling, vol.

The use of cross validation in the analysis of designed experiments (2013), Applied predictive modeling, vol

Reference 37

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The use of cross validation in the analysis of designed experiments Unresolved cited work

Reference 38

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This paper cites and Nachtsheim, C.

The use of cross validation in the analysis of designed experiments and Nachtsheim, C

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.574198Z

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Observation d5ad0227-6aaf-4139-b749-180c7106a7a8 · outbound

This paper cites (2021), Forward stepwise random forest analysis for experimental designs, Journal of Quality Technology, 53, 488--504.

The use of cross validation in the analysis of designed experiments (2021), Forward stepwise random forest analysis for experimental designs, Journal of Quality Technology, 53, 488--504

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.562966Z

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This paper cites (2020), Estimation of error variance via ridge regression, Biometrika, 107, 481--488.

The use of cross validation in the analysis of designed experiments (2020), Estimation of error variance via ridge regression, Biometrika, 107, 481--488

Reference 41

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This paper cites L., Sitter, R.

The use of cross validation in the analysis of designed experiments L., Sitter, R

Reference 42

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This paper cites and Lumley, M.

The use of cross validation in the analysis of designed experiments and Lumley, M

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.529120Z

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Observation eefd48c5-1e50-4f58-8191-1d56b992a783 · outbound

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The use of cross validation in the analysis of designed experiments Unresolved cited work

Reference 44

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This paper cites B., and Kulkarni, N.

The use of cross validation in the analysis of designed experiments B., and Kulkarni, N

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.503338Z

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The use of cross validation in the analysis of designed experiments Unresolved cited work

Reference 46

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This paper cites W., Schoen, E.

The use of cross validation in the analysis of designed experiments W., Schoen, E

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.479463Z

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This paper cites H., Montgomery, D.

The use of cross validation in the analysis of designed experiments H., Montgomery, D

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.468503Z

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The use of cross validation in the analysis of designed experiments Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:55:55.457145Z

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This paper cites A., Weese, M.

The use of cross validation in the analysis of designed experiments A., Weese, M

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.446145Z

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Observation 6180b81c-a6bf-48d3-880c-66e7cfbe69a7 · outbound

This paper cites R., Oliveira, R., and von Stosch, M.

The use of cross validation in the analysis of designed experiments R., Oliveira, R., and von Stosch, M

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.434983Z

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Observation 6735520b-19ab-45ff-a8b7-9cd0bbfe29bd · outbound

This paper cites (2019), Tunability: Importance of hyperparameters of machine learning algorithms, Journal of Machine Learning Research, 20, 1--32.

The use of cross validation in the analysis of designed experiments (2019), Tunability: Importance of hyperparameters of machine learning algorithms, Journal of Machine Learning Research, 20, 1--32

Reference 52

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This paper cites H., Tahmasbi, V., and Qasemi, M.

The use of cross validation in the analysis of designed experiments H., Tahmasbi, V., and Qasemi, M

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.409722Z

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This paper cites R., Sakuma, K., Doll, R., Biesheuvel, K., Van Borkulo, J., and Boughorbel, F.

The use of cross validation in the analysis of designed experiments R., Sakuma, K., Doll, R., Biesheuvel, K., Van Borkulo, J., and Boughorbel, F

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.398882Z

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Observation c392d4c3-76b1-4c81-8b02-debd1769ed61 · outbound

This paper cites (2020), Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning,.

The use of cross validation in the analysis of designed experiments (2020), Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.387919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 21f9d730-66ce-4c5a-bc92-bf9c1b51e26b · outbound

This paper cites K., Prahasam, V., and Siddharth, S.

The use of cross validation in the analysis of designed experiments K., Prahasam, V., and Siddharth, S

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.377559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 50b867e8-a183-4dc2-a97a-8ec2d674f6b6 · outbound

This paper cites K., Wood, P., Mockus, L., DeLaurentis, D.

The use of cross validation in the analysis of designed experiments K., Wood, P., Mockus, L., DeLaurentis, D

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.366750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ff90c72b-5d19-488d-8623-84835a32d0eb · outbound

This paper cites M., Saubamea, B., Andrieux, K., Mignet, N., and Alhareth, K.

The use of cross validation in the analysis of designed experiments M., Saubamea, B., Andrieux, K., Mignet, N., and Alhareth, K

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.354078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b7be3712-64a8-495b-815d-c78abd31e8df · outbound

This paper cites (1997), Robust linear model selection by cross-validation, Journal of the American Statistical Association, 92, 1017--1023.

The use of cross validation in the analysis of designed experiments (1997), Robust linear model selection by cross-validation, Journal of the American Statistical Association, 92, 1017--1023

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.343101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 261daa0e-585b-4fe1-b49c-3063e3b735af · outbound

This paper cites (2021), Battery stress factor ranking for accelerated degradation test planning using machine learning, energies, 14, 723.

The use of cross validation in the analysis of designed experiments (2021), Battery stress factor ranking for accelerated degradation test planning using machine learning, energies, 14, 723

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.330796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3a4c3432-bb99-42a7-b802-d19c4c911763 · outbound

This paper cites (2019), Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data, Ecological Modelling, 406, 109--120.

The use of cross validation in the analysis of designed experiments (2019), Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data, Ecological Modelling, 406, 109--120

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.319551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 89246028-a676-4852-9a81-c7bcf458a2af · outbound

This paper cites (1978), Estimating the dimension of a model, The annals of statistics, 461--464.

The use of cross validation in the analysis of designed experiments (1978), Estimating the dimension of a model, The annals of statistics, 461--464

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.308205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fd83620d-3a1c-4536-8061-8edbb753a323 · outbound

This paper cites (1993), Linear model selection by cross-validation, Journal of the American statistical Association, 88, 486--494.

The use of cross validation in the analysis of designed experiments (1993), Linear model selection by cross-validation, Journal of the American statistical Association, 88, 486--494

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T19:55:55.005640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acddb750-3564-4bf9-8a96-3e3574faeeaa · outbound

This paper cites J., Edwards, D.

The use of cross validation in the analysis of designed experiments J., Edwards, D

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.288438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ecdaeec-589c-4afa-9498-910ddb88cbe4 · outbound

This paper cites (1974), Cross-validatory choice and assessment of statistical predictions, Journal of the royal statistical society: Series B (Methodological), 36, 111--133.

The use of cross validation in the analysis of designed experiments (1974), Cross-validatory choice and assessment of statistical predictions, Journal of the royal statistical society: Series B (Methodological), 36, 111--133

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.276173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5b5f9618-6887-4cf7-91b1-b67d4b538863 · outbound

This paper cites and Simon, R.

The use of cross validation in the analysis of designed experiments and Simon, R

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.262998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 98ad9c5c-7edb-4a15-9dce-8bddbdd29545 · outbound

This paper cites R., Engemann, D.

The use of cross validation in the analysis of designed experiments R., Engemann, D

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.251159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 92c4fbd0-d883-46a0-864d-d514cb146739 · outbound

This paper cites L., Edwards, D.

The use of cross validation in the analysis of designed experiments L., Edwards, D

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.240053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7fec939f-08f6-411f-8d44-581db6dae2a4 · outbound

This paper cites L., Stallrich, J.

The use of cross validation in the analysis of designed experiments L., Stallrich, J

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.229220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f4c398af-0175-45f6-bf4e-1ffa4ed1928d · outbound

This paper cites (2019), Data mining methodology for engineering applications (DMME)—A holistic extension to the CRISP-DM model, Applied Sciences, 9, 2407.

The use of cross validation in the analysis of designed experiments (2019), Data mining methodology for engineering applications (DMME)—A holistic extension to the CRISP-DM model, Applied Sciences, 9, 2407

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.217384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5f8528aa-1b79-463a-bd2b-9787c80b2faa · outbound

This paper cites ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R.

The use of cross validation in the analysis of designed experiments ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T19:55:55.040455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a874078-54d1-44f3-a53b-250f6ab0a15e · outbound

This paper cites and Liang, Y.-Z.

The use of cross validation in the analysis of designed experiments and Liang, Y.-Z

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.204669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0fed0137-7914-46cd-a294-198514e9ecce · outbound

This paper cites (2007), Consistency of cross validation for comparing regression procedures, Annals of Statistics, 35, 2450--2473.

The use of cross validation in the analysis of designed experiments (2007), Consistency of cross validation for comparing regression procedures, Annals of Statistics, 35, 2450--2473

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T19:55:55.047978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b9d5942-6176-4565-ac09-b01eee95d9fc · outbound

This paper cites A., Aandahl, Z., Richards, S.

The use of cross validation in the analysis of designed experiments A., Aandahl, Z., Richards, S

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.185653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2a6f6178-bf9a-402e-ab50-5c3799ff586e · outbound

This paper cites R., and Lin, Y.

The use of cross validation in the analysis of designed experiments R., and Lin, Y

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.174735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5c7c9b2e-13c1-425a-905b-eb6534a7572c · outbound

This paper cites (2022), Predictive Analysis of Fluid-Hammer Effect on LNG Regasification System Pipeline Network, in 2022 Annual Reliability and Maintainability Symposium (RAMS), IEEE, pp.

The use of cross validation in the analysis of designed experiments (2022), Predictive Analysis of Fluid-Hammer Effect on LNG Regasification System Pipeline Network, in 2022 Annual Reliability and Maintainability Symposium (RAMS), IEEE, pp

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.163454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 74bf809c-0b57-498d-b6d5-29850cc8034a · outbound

This paper cites (1993), Model selection via multifold cross validation, The annals of statistics, 299--313.

The use of cross validation in the analysis of designed experiments (1993), Model selection via multifold cross validation, The annals of statistics, 299--313

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.151487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b50941d9-1812-4244-962f-3ffe3b642a72 · outbound

This paper cites and Yang, Y.

The use of cross validation in the analysis of designed experiments and Yang, Y

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:55:55.138034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 07051e6f-c32a-433d-9c64-8118cfd8be7d · outbound

This paper cites an unresolved cited work.

The use of cross validation in the analysis of designed experiments Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:55:55.123983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers