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Delft University of Technology

1. Carmiggelt, Koen (author). Bayesian Variable Selection in Probability of Default Models.

Degree: 2019, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:d90ac247-c0c7-4d5b-9be1-463a612ebacc

► Banks are financial institutions that lend money from other parties and provide loans to individuals and organisation for a higher interest. Lending out money is…
(more)

Subjects/Keywords: Horseshoe prior; Predictive Projection; Probability of Default; variable selection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Carmiggelt, K. (. (2019). Bayesian Variable Selection in Probability of Default Models. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d90ac247-c0c7-4d5b-9be1-463a612ebacc

Chicago Manual of Style (16^{th} Edition):

Carmiggelt, Koen (author). “Bayesian Variable Selection in Probability of Default Models.” 2019. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:d90ac247-c0c7-4d5b-9be1-463a612ebacc.

MLA Handbook (7^{th} Edition):

Carmiggelt, Koen (author). “Bayesian Variable Selection in Probability of Default Models.” 2019. Web. 30 Nov 2020.

Vancouver:

Carmiggelt K(. Bayesian Variable Selection in Probability of Default Models. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:d90ac247-c0c7-4d5b-9be1-463a612ebacc.

Council of Science Editors:

Carmiggelt K(. Bayesian Variable Selection in Probability of Default Models. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:d90ac247-c0c7-4d5b-9be1-463a612ebacc

Delft University of Technology

2. van der Auweraert, Elwin (author). Trace metal pollution in the Scheldt estuary - a statistical approach to estimate the metal partitioning coefficient for a suite of metals.

Degree: 2018, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:77ba1fdd-bb3b-474f-9b20-516c26955571

► Trace metals appear in estuarine systems in two forms: dissolved and particulate. Describing the partitioning between these two forms is done by a coefficient, K_d,…
(more)

Subjects/Keywords: Statistical analysis; Machine learning; chemistry; Scheldt; estuary; Trace metals

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

van der Auweraert, E. (. (2018). Trace metal pollution in the Scheldt estuary - a statistical approach to estimate the metal partitioning coefficient for a suite of metals. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:77ba1fdd-bb3b-474f-9b20-516c26955571

Chicago Manual of Style (16^{th} Edition):

van der Auweraert, Elwin (author). “Trace metal pollution in the Scheldt estuary - a statistical approach to estimate the metal partitioning coefficient for a suite of metals.” 2018. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:77ba1fdd-bb3b-474f-9b20-516c26955571.

MLA Handbook (7^{th} Edition):

van der Auweraert, Elwin (author). “Trace metal pollution in the Scheldt estuary - a statistical approach to estimate the metal partitioning coefficient for a suite of metals.” 2018. Web. 30 Nov 2020.

Vancouver:

van der Auweraert E(. Trace metal pollution in the Scheldt estuary - a statistical approach to estimate the metal partitioning coefficient for a suite of metals. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:77ba1fdd-bb3b-474f-9b20-516c26955571.

Council of Science Editors:

van der Auweraert E(. Trace metal pollution in the Scheldt estuary - a statistical approach to estimate the metal partitioning coefficient for a suite of metals. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:77ba1fdd-bb3b-474f-9b20-516c26955571

Delft University of Technology

3. van der Zee, Carina (author). Characterizations of Multivariate Tail Dependence: On theory and inference to assess extremal dependence structures.

Degree: 2018, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:89b598fe-1631-4aae-97f4-8dede69d7490

► This thesis gathers, develops and evaluates several characterizations of multivariate tail dependence. It is established that the stable tail dependence function (STDF) is a suitable…
(more)

Subjects/Keywords: extreme value copula; stable tail dependence function; tail dependence coefficient; tail dependence testing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

van der Zee, C. (. (2018). Characterizations of Multivariate Tail Dependence: On theory and inference to assess extremal dependence structures. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:89b598fe-1631-4aae-97f4-8dede69d7490

Chicago Manual of Style (16^{th} Edition):

van der Zee, Carina (author). “Characterizations of Multivariate Tail Dependence: On theory and inference to assess extremal dependence structures.” 2018. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:89b598fe-1631-4aae-97f4-8dede69d7490.

MLA Handbook (7^{th} Edition):

van der Zee, Carina (author). “Characterizations of Multivariate Tail Dependence: On theory and inference to assess extremal dependence structures.” 2018. Web. 30 Nov 2020.

Vancouver:

van der Zee C(. Characterizations of Multivariate Tail Dependence: On theory and inference to assess extremal dependence structures. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:89b598fe-1631-4aae-97f4-8dede69d7490.

Council of Science Editors:

van der Zee C(. Characterizations of Multivariate Tail Dependence: On theory and inference to assess extremal dependence structures. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:89b598fe-1631-4aae-97f4-8dede69d7490

Delft University of Technology

4. van Hooft, George (author). Efficient Inference with Panel Data: On the pass-through of the Dutch 2001 and 2012 VAT increases to consumer prices.

Degree: 2018, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:092fd519-2c0f-4102-8b9b-365c779c4c45

►

This thesis evaluates the pass-through of the 2001 and 2012 Dutch Value Added Tax (VAT) increases to customer prices using a difference-in-differences model. To this… (more)

Subjects/Keywords: efficient linear regression; difference-in-differences; panel data; value added tax; first difference

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

van Hooft, G. (. (2018). Efficient Inference with Panel Data: On the pass-through of the Dutch 2001 and 2012 VAT increases to consumer prices. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:092fd519-2c0f-4102-8b9b-365c779c4c45

Chicago Manual of Style (16^{th} Edition):

van Hooft, George (author). “Efficient Inference with Panel Data: On the pass-through of the Dutch 2001 and 2012 VAT increases to consumer prices.” 2018. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:092fd519-2c0f-4102-8b9b-365c779c4c45.

MLA Handbook (7^{th} Edition):

van Hooft, George (author). “Efficient Inference with Panel Data: On the pass-through of the Dutch 2001 and 2012 VAT increases to consumer prices.” 2018. Web. 30 Nov 2020.

Vancouver:

van Hooft G(. Efficient Inference with Panel Data: On the pass-through of the Dutch 2001 and 2012 VAT increases to consumer prices. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:092fd519-2c0f-4102-8b9b-365c779c4c45.

Council of Science Editors:

van Hooft G(. Efficient Inference with Panel Data: On the pass-through of the Dutch 2001 and 2012 VAT increases to consumer prices. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:092fd519-2c0f-4102-8b9b-365c779c4c45

Delft University of Technology

5. Cheung, Tim (author). Unsupervised classification of ships and their operations.

Degree: 2020, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:59168579-f6d8-4698-814a-fdaa4bb8f93a

► In this modern age, data is being generated constantly and data is being saved for analysis everywhere. In the maritime industry, interest in the analysis…
(more)

Subjects/Keywords: clustering; pca; operational profiles; dbscan; Hierarchical; kmeans; isotonic regression; statistics; maritime; ships

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Cheung, T. (. (2020). Unsupervised classification of ships and their operations. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:59168579-f6d8-4698-814a-fdaa4bb8f93a

Chicago Manual of Style (16^{th} Edition):

Cheung, Tim (author). “Unsupervised classification of ships and their operations.” 2020. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:59168579-f6d8-4698-814a-fdaa4bb8f93a.

MLA Handbook (7^{th} Edition):

Cheung, Tim (author). “Unsupervised classification of ships and their operations.” 2020. Web. 30 Nov 2020.

Vancouver:

Cheung T(. Unsupervised classification of ships and their operations. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:59168579-f6d8-4698-814a-fdaa4bb8f93a.

Council of Science Editors:

Cheung T(. Unsupervised classification of ships and their operations. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:59168579-f6d8-4698-814a-fdaa4bb8f93a

Delft University of Technology

6. Ortega Del Vecchyo, Max Roberto (author). Container-to-mode assignment on a synchromodal transportation network: a multi-objective approach.

Degree: 2017, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:aad59166-a331-4020-9742-798c018c94ee

► In this report we present an interactive multi-objective optimization tool that was developed as part of this graduation project. This appliance is meant to be…
(more)

Subjects/Keywords: Synchromodal; Multi Criteria; container

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ortega Del Vecchyo, M. R. (. (2017). Container-to-mode assignment on a synchromodal transportation network: a multi-objective approach. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:aad59166-a331-4020-9742-798c018c94ee

Chicago Manual of Style (16^{th} Edition):

Ortega Del Vecchyo, Max Roberto (author). “Container-to-mode assignment on a synchromodal transportation network: a multi-objective approach.” 2017. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:aad59166-a331-4020-9742-798c018c94ee.

MLA Handbook (7^{th} Edition):

Ortega Del Vecchyo, Max Roberto (author). “Container-to-mode assignment on a synchromodal transportation network: a multi-objective approach.” 2017. Web. 30 Nov 2020.

Vancouver:

Ortega Del Vecchyo MR(. Container-to-mode assignment on a synchromodal transportation network: a multi-objective approach. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:aad59166-a331-4020-9742-798c018c94ee.

Council of Science Editors:

Ortega Del Vecchyo MR(. Container-to-mode assignment on a synchromodal transportation network: a multi-objective approach. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:aad59166-a331-4020-9742-798c018c94ee

Delft University of Technology

7. Berghuis, Veerle (author). Categorical based feature modeling on a zero inflated performance measure.

Degree: 2017, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:5038ab0d-0292-4c71-ab7d-4fc93d75d94d

►

ASML produces TwinScan NXT machines that are used for the production of microchips. The machines ensure that an accurate pattern of DUV-light passes a lens… (more)

Subjects/Keywords: semiconductor; errors; categorical variables; zero inflation; clustering; Wilcoxon rank sum test; Kruskal-Wallis test; predictive modeling; regression models; generalized linear model; zero adjusted model; zero adjusted exponential model; model selection

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Berghuis, V. (. (2017). Categorical based feature modeling on a zero inflated performance measure. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:5038ab0d-0292-4c71-ab7d-4fc93d75d94d

Chicago Manual of Style (16^{th} Edition):

Berghuis, Veerle (author). “Categorical based feature modeling on a zero inflated performance measure.” 2017. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:5038ab0d-0292-4c71-ab7d-4fc93d75d94d.

MLA Handbook (7^{th} Edition):

Berghuis, Veerle (author). “Categorical based feature modeling on a zero inflated performance measure.” 2017. Web. 30 Nov 2020.

Vancouver:

Berghuis V(. Categorical based feature modeling on a zero inflated performance measure. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:5038ab0d-0292-4c71-ab7d-4fc93d75d94d.

Council of Science Editors:

Berghuis V(. Categorical based feature modeling on a zero inflated performance measure. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:5038ab0d-0292-4c71-ab7d-4fc93d75d94d