{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T00:21:16Z","timestamp":1743034876506,"version":"3.40.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030869724"},{"type":"electronic","value":"9783030869731"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-86973-1_43","type":"book-chapter","created":{"date-parts":[[2021,9,10]],"date-time":"2021-09-10T12:03:14Z","timestamp":1631275394000},"page":"609-623","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Multivariate Analysis Approach to\u00a0Diamonds\u2019 Pricing Using Dummy Variables in SPSS"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4004-9901","authenticated-orcid":false,"given":"Ana Rita","family":"Antunes","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2789-8477","authenticated-orcid":false,"given":"Cl\u00e1udia Buga","family":"Buga","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5293-488X","authenticated-orcid":false,"given":"Daniel Coutinho","family":"Costa","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7799-4088","authenticated-orcid":false,"given":"Jos\u00e9","family":"Grilo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1991-9418","authenticated-orcid":false,"given":"Ana Cristina","family":"Braga","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4772-4404","authenticated-orcid":false,"given":"Lino A.","family":"Costa","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,11]]},"reference":[{"key":"43_CR1","unstructured":"Agrawal, S.: Diamond\u2019s price and atributes dataset (2007). https:\/\/www.kaggle.com\/shivam2503\/diamonds\/metadata. Accessed 06 Oct 2020"},{"key":"43_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/978-3-030-58808-3_19","volume-title":"Computational Science and Its Applications \u2013 ICCSA 2020","author":"AR Antunes","year":"2020","unstructured":"Antunes, A.R., Braga, A.C.: Shiny app to predict agricultural tire dimensions. In: Gervasi, O., et al. (eds.) ICCSA 2020. LNCS, vol. 12251, pp. 247\u2013260. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58808-3_19"},{"key":"43_CR3","doi-asserted-by":"publisher","unstructured":"Bedoui, R., Guesmi, K., Kalai, S., Porcher, T.: Diamonds versus precious metals: what gleams most against USD exchange rates? Finance Res. Lett. 34, 101253 (2020). https:\/\/doi.org\/10.1016\/j.frl.2019.08.001","DOI":"10.1016\/j.frl.2019.08.001"},{"key":"43_CR4","doi-asserted-by":"publisher","unstructured":"Bundy, F.P., Hall, H.T., Strong, H.M., Wentorfjun., R.H.: Man-Made Diamonds. Nature 176(4471), 51\u201355 (1955). https:\/\/doi.org\/10.1038\/176051a0","DOI":"10.1038\/176051a0"},{"key":"43_CR5","doi-asserted-by":"publisher","unstructured":"Busch, J.V., Dismukes, J.P.: Trends and market perspectives for CVD diamond. Diamond Related Mater. 3(4), 295\u2013302 (1994). https:\/\/doi.org\/10.1016\/0925-9635(94)90175-9","DOI":"10.1016\/0925-9635(94)90175-9"},{"key":"43_CR6","doi-asserted-by":"publisher","unstructured":"Cardoso, M.G., Chambel, L.: A valuation model for cut diamonds. Int. Trans. Oper. Res. (2005). https:\/\/doi.org\/10.1111\/j.1475-3995.2005.00516.x","DOI":"10.1111\/j.1475-3995.2005.00516.x"},{"key":"43_CR7","doi-asserted-by":"publisher","unstructured":"Cavanaugh, J.E., Neath, A.A.: The Akaike information criterion: background, derivation, properties, application, interpretation, and refinements. WIREs Comput. Stat. 11(3), e1460 (2019). https:\/\/doi.org\/10.1002\/wics.1460","DOI":"10.1002\/wics.1460"},{"key":"43_CR8","doi-asserted-by":"publisher","unstructured":"Chatterjee, S., Simonoff, J.S.: Handbook of Regression Analysis. Wiley, Hoboken (2012). https:\/\/doi.org\/10.1002\/9781118532843","DOI":"10.1002\/9781118532843"},{"key":"43_CR9","doi-asserted-by":"publisher","unstructured":"Chu, S.: Pricing the C\u2019s of Diamond Stones. J. Stat. Educ. 9(2) (2001). https:\/\/doi.org\/10.1080\/10691898.2001.11910659","DOI":"10.1080\/10691898.2001.11910659"},{"key":"43_CR10","doi-asserted-by":"publisher","unstructured":"Falls, S.: Clarity, cut, and culture: The many meanings of diamonds (2014). https:\/\/doi.org\/10.5860\/choice.186333","DOI":"10.5860\/choice.186333"},{"key":"43_CR11","doi-asserted-by":"publisher","unstructured":"Forthofer, R.N., Lee, E.S., Hernandez, M.: Linear Regression. In: Forthofer, R.N., Lee, E.S., Hernandez, M. (eds.) Biostatistics (Second Edition), pp. 349\u2013386. Academic Press, San Diego, second edi edn. (2007). https:\/\/doi.org\/10.1016\/B978-0-12-369492-8.50018-2","DOI":"10.1016\/B978-0-12-369492-8.50018-2"},{"key":"43_CR12","doi-asserted-by":"publisher","unstructured":"Glatting, G., Kletting, P., Reske, S.N., Hohl, K., C, R.: Choosing the optimal fit function: comparison of the Akaike information criterion and the F-test. Med. Phys. 34(11), 4285\u20134292 (2007). https:\/\/doi.org\/10.1118\/1.2794176","DOI":"10.1118\/1.2794176"},{"key":"43_CR13","doi-asserted-by":"publisher","unstructured":"Harris, J.W.: Diamond. In: Encyclopedia of Geology, pp. 455\u2013472. Elsevier (2021). https:\/\/doi.org\/10.1016\/B978-0-12-409548-9.12083-4","DOI":"10.1016\/B978-0-12-409548-9.12083-4"},{"key":"43_CR14","unstructured":"IBM Corp.: Ibm spss statistics 27 documentation (2020). https:\/\/www.ibm.com\/support\/pages\/ibm-spss-statistics-27-documentation. Accessed 03 Feb 2021"},{"key":"43_CR15","doi-asserted-by":"publisher","unstructured":"Kimura, K., Waki, H.: Minimization of Akaike\u2019s information criterion in linear regression analysis via mixed integer nonlinear program. Optim. Methods Softw. 33(3), 633\u2013649 (2018). https:\/\/doi.org\/10.1080\/10556788.2017.1333611","DOI":"10.1080\/10556788.2017.1333611"},{"key":"43_CR16","doi-asserted-by":"publisher","unstructured":"Li, G., Rahim, M.Z., Pan, W., Wen, C., Ding, S.: The manufacturing and the application of polycrystalline diamond tools - a comprehensive review. J. Manuf. Processes 56, 400\u2013416 (2020). https:\/\/doi.org\/10.1016\/j.jmapro.2020.05.010","DOI":"10.1016\/j.jmapro.2020.05.010"},{"key":"43_CR17","doi-asserted-by":"crossref","unstructured":"Mason, R.L., Gunst, R.F., Hess, J.L.: Statistical Design and Analysis of Experiments, 2nd edn. Wiley, New York (2003)","DOI":"10.1002\/0471458503"},{"key":"43_CR18","doi-asserted-by":"publisher","unstructured":"McKnight, P.E., Najab, J.: Mann-Whitney U Test. The Corsini Encyclopedia of Psychology (2010). https:\/\/doi.org\/10.1002\/9780470479216.corpsy0524","DOI":"10.1002\/9780470479216.corpsy0524"},{"key":"43_CR19","doi-asserted-by":"publisher","unstructured":"Montgomery, D.C., Peck, E.A., Vining, G.G.: Introduction to linear regression analysis. Int. Stat. Rev. 81 (2013). https:\/\/doi.org\/10.1111\/insr.12020_10","DOI":"10.1111\/insr.12020_10"},{"key":"43_CR20","unstructured":"Montgomery, D.C.: Design and Analysis of Experiments, 8th edn. Wiley"},{"key":"43_CR21","doi-asserted-by":"publisher","unstructured":"Riffenburgh, R.H.: Statistical Prediction. In: Riffenburgh, R.H. (ed.) Statistics in Medicine, 2nd edn., pp. 125\u2013136. Academic Press, Burlington (2006). https:\/\/doi.org\/10.1016\/B978-012088770-5\/50047-2","DOI":"10.1016\/B978-012088770-5\/50047-2"},{"key":"43_CR22","doi-asserted-by":"publisher","unstructured":"Rutherford, A.: ANOVA and ANCOVA: A GLM Approach: Second Edition (2013). https:\/\/doi.org\/10.1002\/9781118491683","DOI":"10.1002\/9781118491683"},{"key":"43_CR23","unstructured":"Salkind, N.J.: Statistics for people who (think they) hate statistics: Excel 2007 edition (2010)"},{"key":"43_CR24","doi-asserted-by":"publisher","unstructured":"Schwander, M., Partes, K.: A review of diamond synthesis by CVD processes. Diamond Related Mater. 20(9), 1287\u20131301 (2011). https:\/\/doi.org\/10.1016\/j.diamond.2011.08.005","DOI":"10.1016\/j.diamond.2011.08.005"},{"key":"43_CR25","doi-asserted-by":"publisher","unstructured":"Schwertfeger, H., Fokin, A.A., Schreiner, P.R.: Diamonds are a chemist\u2019s best friend: diamondoid chemistry beyond adamantane. Angewandte Chemie Int. Edition 47(6), 1022\u20131036 (2008). https:\/\/doi.org\/10.1002\/anie.200701684","DOI":"10.1002\/anie.200701684"},{"key":"43_CR26","doi-asserted-by":"publisher","unstructured":"Tillmann, W.: Trends and market perspectives for diamond tools in the construction industry. Int. J. Refractory Metals Hard Mater. 18(6), 301\u2013306 (2000). https:\/\/doi.org\/10.1016\/S0263-4368(00)00034-2","DOI":"10.1016\/S0263-4368(00)00034-2"},{"key":"43_CR27","doi-asserted-by":"publisher","unstructured":"Verma, J.P.: Data analysis in management with SPSS software (2013). https:\/\/doi.org\/10.1007\/978-81-322-0786-3","DOI":"10.1007\/978-81-322-0786-3"},{"key":"43_CR28","doi-asserted-by":"publisher","unstructured":"Wilcox, R.R.: Understanding the practical advantages of modern ANOVA methods. J. Clin. Child Adolescent Psychol. (2002). https:\/\/doi.org\/10.1207\/S15374424JCCP3103_12","DOI":"10.1207\/S15374424JCCP3103_12"},{"key":"43_CR29","doi-asserted-by":"publisher","unstructured":"Wilcox, R.R.: 14 - MORE REGRESSION METHODS. In: Wilcox, R.R. (ed.) Applying Contemporary Statistical Techniques, pp. 517\u2013555. Academic Press, Burlington (2003). https:\/\/doi.org\/10.1016\/B978-012751541-0\/50035-3","DOI":"10.1016\/B978-012751541-0\/50035-3"},{"key":"43_CR30","unstructured":"Zhang, C.Y., Oh, S., Park, J.: State-of-the-Art Diamond Price Predictions using Neural Networks"},{"key":"43_CR31","doi-asserted-by":"publisher","unstructured":"Zimper, A.: On the welfare equivalence of asset markets and banking in Diamond Dybvig economies. Econ. Lett. 121(3), 356\u2013359 (2013). https:\/\/doi.org\/10.1016\/j.econlet.2013.09.023","DOI":"10.1016\/j.econlet.2013.09.023"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2021"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-86973-1_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,22]],"date-time":"2022-01-22T08:06:49Z","timestamp":1642838809000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-86973-1_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030869724","9783030869731"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-86973-1_43","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"11 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cagliari","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccsa.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Customed version of CyberChair 4","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1588","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"466","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"29% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2,5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}