{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T04:45:38Z","timestamp":1742964338961,"version":"3.40.3"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030588076"},{"type":"electronic","value":"9783030588083"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-58808-3_19","type":"book-chapter","created":{"date-parts":[[2020,9,28]],"date-time":"2020-09-28T09:03:00Z","timestamp":1601283780000},"page":"247-260","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Shiny App to Predict Agricultural Tire Dimensions"],"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\/0000-0002-1991-9418","authenticated-orcid":false,"given":"Ana Cristina","family":"Braga","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,29]]},"reference":[{"key":"19_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/b97636","volume-title":"Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach","author":"KP Burnham","year":"2002","unstructured":"Burnham, K.P., Anderson, D.R.: Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach, 2nd edn. Springer, New York (2002). https:\/\/doi.org\/10.1007\/b97636","edition":"2"},{"key":"19_CR2","doi-asserted-by":"crossref","unstructured":"Chattefuee, S., Hadi, A.S.: Regression Analysis by Example. 4. edn. (2006)","DOI":"10.1002\/0470055464"},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"Chatterjee, S., Simonoff, J.S.: Handbook of Regression Analysis (2013)","DOI":"10.1002\/9781118532843"},{"key":"19_CR4","volume-title":"Applied Multivariate Statistical Analysis","author":"R Johnson","year":"2002","unstructured":"Johnson, R., Wichern, D.: Applied Multivariate Statistical Analysis, 5th edn. Prentice Hall, Upper Saddle River (2002)","edition":"5"},{"key":"19_CR5","volume-title":"Applied Linear Statistical Models","author":"MH Kutner","year":"2005","unstructured":"Kutner, M.H., Nachtsheim, C.J., Neter, J., Li, W.: Applied Linear Statistical Models, 5th edn. McGraw-Hill Irwin, New York (2005)","edition":"5"},{"key":"19_CR6","doi-asserted-by":"crossref","unstructured":"Lafi, S.Q., Kaneene, J.B.: An explanation of the use of principal-components analysis to detect and correct for multicollinearity. Preventive Veterinary Medicine (1992)","DOI":"10.1016\/0167-5877(92)90041-D"},{"issue":"11","key":"19_CR7","first-page":"150","volume":"5","author":"O Maxwell","year":"2019","unstructured":"Maxwell, O., Amaeze Osuji, G., Precious Onyedikachi, I., Obi-Okpala, C.I., Udoka Chinedu, I., Ikenna Frank, O.: Handling critical multicollinearity using parametric approach. Acad. J. Appl. Math. Sci. 5(11), 150\u2013163 (2019)","journal-title":"Acad. J. Appl. Math. Sci."},{"issue":"5","key":"19_CR8","first-page":"60","volume":"7","author":"SP Mishra","year":"2017","unstructured":"Mishra, S.P., et al.: Multivariate statistical data analysis- Principal Component Analysis (PCA). Int. J. Livestock Res. 7(5), 60\u201378 (2017)","journal-title":"Int. J. Livestock Res."},{"key":"19_CR9","series-title":"Springer Texts in Statistics","doi-asserted-by":"publisher","DOI":"10.1007\/b98890","volume-title":"Applied Regression Analysis: A Research Tool","author":"JO Rawlings","year":"1998","unstructured":"Rawlings, J.O., Pantula, S.G., Dickey, D.A.: Applied Regression Analysis: A Research Tool. Springer Texts in Statistics, 2nd edn. Springer, Heidelberg (1998). https:\/\/doi.org\/10.1007\/b98890","edition":"2"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58808-3_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T11:27:10Z","timestamp":1619177230000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-58808-3_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030588076","9783030588083"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58808-3_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"29 September 2020","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":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.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":"Cyber chair 4","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1450","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":"32","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":"32% - 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":"6","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Conference was held virtually due to COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}