PREDICTIVE REGRESSION ANALYSIS OF HOUSING PRICE IN IOWA
| Název práce: | Predictive regression analysis of housing price in Iowa |
|---|---|
| Autor(ka) práce: | Guo, Zhida |
| Typ práce: | Diploma thesis |
| Vedoucí práce: | Helman, Karel |
| Oponenti práce: | Čabla, Adam |
| Jazyk práce: | English |
| Abstrakt: | 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). |
| Klíčová slova: | cross validation; prediction; empirical analysis; Regression analysis |
| Název práce: | PREDICTIVE REGRESSION ANALYSIS OF HOUSING PRICE IN IOWA |
|---|---|
| Autor(ka) práce: | Guo, Zhida |
| Typ práce: | Diplomová práce |
| Vedoucí práce: | Helman, Karel |
| Oponenti práce: | Čabla, Adam |
| Jazyk práce: | English |
| Abstrakt: | 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). |
| Klíčová slova: | regression analysis; prediction; cross validation; empirical analysis |
Informace o studiu
| Studijní program / obor: | Economic Data Analysis/Data Analysis and Modeling |
|---|---|
| Typ studijního programu: | Magisterský studijní program |
| Přidělovaná hodnost: | Ing. |
| Instituce přidělující hodnost: | Vysoká škola ekonomická v Praze |
| Fakulta: | Fakulta informatiky a statistiky |
| Katedra: | Katedra statistiky a pravděpodobnosti |
Informace o odevzdání a obhajobě
| Datum zadání práce: | 21. 6. 2021 |
|---|---|
| Datum podání práce: | 4. 12. 2023 |
| Datum obhajoby: | 29. 1. 2024 |
| Identifikátor v systému InSIS: | https://insis.vse.cz/zp/77243/podrobnosti |