Offline data analysis of non-standardized raw data sample using regressive techniques
TA340.S57 2011
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| Format: | text::Final Year Project |
| Language: | en_US |
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2024
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| _version_ | 1840301776603971584 |
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| author | Siti Sarah Anuar |
| author_facet | Siti Sarah Anuar |
| author_sort | Siti Sarah Anuar |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | TA340.S57 2011 |
| format | Resource Types::text::Final Year Project |
| id | my.uniten.dspace-31778 |
| institution | Universiti Tenaga Nasional |
| language | en_US |
| publishDate | 2024 |
| record_format | dspace |
| spelling | my.uniten.dspace-317782025-08-12T11:42:30Z Offline data analysis of non-standardized raw data sample using regressive techniques Siti Sarah Anuar Engineering TA340.S57 2011 This thesis presents the development of software using MATLAB that can be used to analyze the raw data sample using regressive techniques. The data sample varies from a specific data collection to randomly generated data. Regression analysis is a statistical tool for the investigation of relationships between variables. The two basic types of regression are linear regression and multiple regressions. Linear regression uses one independent variable to explain and/or predict the outcome of Y, while multiple regressions use two or more independent variables to predict the outcome. Regression technique is used to improve captured data analysis and to predict the required information. The main techniques for regression include autoregressive, moving average and autoregressive moving average. In this project, autoregressive modelling is used to forecast or predict the past and future value using forward or backward linear prediction. 2024-04-01T07:52:54Z 2024-04-01T07:52:54Z 2011 Resource Types::text::Final Year Project https://irepository.uniten.edu.my/handle/123456789/31778 en_US application/pdf |
| spellingShingle | Engineering Siti Sarah Anuar Offline data analysis of non-standardized raw data sample using regressive techniques |
| title | Offline data analysis of non-standardized raw data sample using regressive techniques |
| title_full | Offline data analysis of non-standardized raw data sample using regressive techniques |
| title_fullStr | Offline data analysis of non-standardized raw data sample using regressive techniques |
| title_full_unstemmed | Offline data analysis of non-standardized raw data sample using regressive techniques |
| title_short | Offline data analysis of non-standardized raw data sample using regressive techniques |
| title_sort | offline data analysis of non-standardized raw data sample using regressive techniques |
| topic | Engineering |
| url_provider | http://dspace.uniten.edu.my/ |