Statistical distribution fitting for real test data
In this report, the various statistical distributions and types of Goodness-of-Fit tests are presented. Reliability engineers today are required to analyze large amounts of data and it is unwise to assume a specific distribution as it would be time consuming. The main goal of this project is to help...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2010
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| Online Access: | http://hdl.handle.net/10356/40802 |
| _version_ | 1826114752196116480 |
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| author | Tan, Germaine Qiu Wen. |
| author2 | Tan Cher Ming |
| author_facet | Tan Cher Ming Tan, Germaine Qiu Wen. |
| author_sort | Tan, Germaine Qiu Wen. |
| collection | NTU |
| description | In this report, the various statistical distributions and types of Goodness-of-Fit tests are presented. Reliability engineers today are required to analyze large amounts of data and it is unwise to assume a specific distribution as it would be time consuming. The main goal of this project is to help analysts reduce the time taken for an analysis, by giving them the specific statistical distribution their data follows.
Microsoft Excel workbook is created to help specifically state if the data follows either an Exponential distribution or a Two-Parameter Weibull distribution. If the data does not follow either distribution, it is tested with external add-in software known as EasyFitXL.
The Microsoft Excel workbook created is aimed to be user-friendly and comprehendible for analysts, reducing the time spent initially as they assume a distribution of their data. Microsoft Excel is also chosen for this project as it is a widely used application, which is readily available for most users. This project illustrates the simplicity of having the specific form of statistical distribution for analyzing of data. |
| first_indexed | 2024-10-01T03:44:16Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/40802 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:44:16Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | ntu-10356/408022023-07-07T17:42:36Z Statistical distribution fitting for real test data Tan, Germaine Qiu Wen. Tan Cher Ming School of Electrical and Electronic Engineering DRNTU::Engineering In this report, the various statistical distributions and types of Goodness-of-Fit tests are presented. Reliability engineers today are required to analyze large amounts of data and it is unwise to assume a specific distribution as it would be time consuming. The main goal of this project is to help analysts reduce the time taken for an analysis, by giving them the specific statistical distribution their data follows. Microsoft Excel workbook is created to help specifically state if the data follows either an Exponential distribution or a Two-Parameter Weibull distribution. If the data does not follow either distribution, it is tested with external add-in software known as EasyFitXL. The Microsoft Excel workbook created is aimed to be user-friendly and comprehendible for analysts, reducing the time spent initially as they assume a distribution of their data. Microsoft Excel is also chosen for this project as it is a widely used application, which is readily available for most users. This project illustrates the simplicity of having the specific form of statistical distribution for analyzing of data. Bachelor of Engineering 2010-06-22T03:57:58Z 2010-06-22T03:57:58Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/40802 en Nanyang Technological University 92 p. application/pdf |
| spellingShingle | DRNTU::Engineering Tan, Germaine Qiu Wen. Statistical distribution fitting for real test data |
| title | Statistical distribution fitting for real test data |
| title_full | Statistical distribution fitting for real test data |
| title_fullStr | Statistical distribution fitting for real test data |
| title_full_unstemmed | Statistical distribution fitting for real test data |
| title_short | Statistical distribution fitting for real test data |
| title_sort | statistical distribution fitting for real test data |
| topic | DRNTU::Engineering |
| url | http://hdl.handle.net/10356/40802 |
| work_keys_str_mv | AT tangermaineqiuwen statisticaldistributionfittingforrealtestdata |