2026-09-21T19:32:30Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1038432022-01-13T07:53:59Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Jerome J. Connor.
Li, Heng, S.M. Massachusetts Institute of Technology
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering.
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
2016-08-02T20:07:44Z
2016-08-02T20:07:44Z
2016
2016
http://hdl.handle.net/1721.1/103843
953870846
Thesis: S.M., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 71-75).
Current housing price prediction usually employs hedonic or repeat-sales models. The objective is to build a statistical model which is more focused on statistic methods. Neither ordinary nor regularized regression model haven been applied to the field of real estate, even though they are rather well-known statistical procedures. This thesis concludes lots of ordinary and regularized regression models. A theoretical review was performed for these models, and Boston Housing data was used to evaluate their performance. The results were found to be reasonable, from a statistical perspective.
by Heng Li.
S.M.
75 pages
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Civil and Environmental Engineering.
A price prediction method In real estate market
Thesis
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<Abstract>Current housing price prediction usually employs hedonic or repeat-sales models. The objective is to build a statistical model which is more focused on statistic methods. Neither ordinary nor regularized regression model haven been applied to the field of real estate, even though they are rather well-known statistical procedures. This thesis concludes lots of ordinary and regularized regression models. A theoretical review was performed for these models, and Boston Housing data was used to evaluate their performance. The results were found to be reasonable, from a statistical perspective.</Abstract>
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