Predictive regression analysis of housing price in Iowa
Thesis title: | Predictive regression analysis of housing price in Iowa |
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Author: | Guo, Zhida |
Thesis type: | Diploma thesis |
Supervisor: | Helman, Karel |
Opponents: | Čabla, Adam |
Thesis language: | English |
Abstract: | This thesis presents an analysis of predictive modeling techniques and outlier detection methods in the context of real estate sale price prediction. The study aims to find an optimal regression model by integrating variable selection procedures, influential observation removal, and regression outlier detection, and understand the impacts of different variable selection methods. The investigation, conducted on a real-world housing dataset, evaluates the models using metrics such as Mean Square Error (MSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE). |
Keywords: | cross validation; prediction; empirical analysis; Regression analysis |
Thesis title: | PREDICTIVE REGRESSION ANALYSIS OF HOUSING PRICE IN IOWA |
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Author: | Guo, Zhida |
Thesis type: | Diplomová práce |
Supervisor: | Helman, Karel |
Opponents: | Čabla, Adam |
Thesis language: | English |
Abstract: | This thesis presents an analysis of predictive modeling techniques and outlier detection methods in the context of real estate sale price prediction. The study aims to find an optimal regression model by integrating variable selection procedures, influential observation removal, and regression outlier detection, and understand the impacts of different variable selection methods. The investigation, conducted on a real-world housing dataset, evaluates the models using metrics such as Mean Square Error (MSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE). |
Keywords: | regression analysis; prediction; cross validation; empirical analysis |
Information about study
Study programme: | Economic Data Analysis/Data Analysis and Modeling |
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Type of study programme: | Magisterský studijní program |
Assigned degree: | Ing. |
Institutions assigning academic degree: | Vysoká škola ekonomická v Praze |
Faculty: | Faculty of Informatics and Statistics |
Department: | Department of Statistics and Probability |
Information on submission and defense
Date of assignment: | 21. 6. 2021 |
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Date of submission: | 4. 12. 2023 |
Date of defense: | 21. 8. 2024 |
Identifier in the InSIS system: | https://insis.vse.cz/zp/77243/podrobnosti |