A price prediction method In real estate market
Name
953870846-MIT.pdf
Description
Full printable version
Size
4.38 MB
Format
Adobe PDF
Checksum (MD5)
6e03011c35bfdd60d6d6f39cae944c21
Author(s)
Li, Heng, S.M. Massachusetts Institute of Technology
Advisor(s)
Jerome J. Connor.
Date Issued
2016
Publisher
Massachusetts Institute of Technology
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.
Description
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).
Subjects
Civil and Environmental Engineering.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
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