| dc.contributor.author | Korugyendo, Constance | |
| dc.date.accessioned | 2019-12-16T13:58:58Z | |
| dc.date.available | 2019-12-16T13:58:58Z | |
| dc.date.issued | 2016 | |
| dc.identifier.citation | Korugyendo, C. (2016). Time Series Analysis of Fish Production in Uganda: Application of Auto Regressive Integrated Moving Average. Unpublished undergraduate dissertation. Makerere University, Kampala, Uganda | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.12281/7720 | |
| dc.description | A dissertation submitted to the College of Business And Management Sciences in partial fulfillment of the requirements for the award of Bachelor of Science in Business Statistics Degree of Makerere University | en_US |
| dc.description.abstract | Fishing constitute more than 50% of the Ugandan agriculture and it is done on five major lakes .the trend of fish production in Uganda has irregularities that were detected during analysis. The objective of the study is to analyse the fish production in Uganda, determine the trend and forecast the values of fish production | en_US |
| dc.description.sponsorship | Mrs Suzan mbabazi | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Makerere University | en_US |
| dc.subject | Time series analysis | en_US |
| dc.subject | Fish production | en_US |
| dc.subject | Auto Regressive Integrated Moving Average | en_US |
| dc.subject | Uganda | en_US |
| dc.subject | Fish farming | en_US |
| dc.title | Time Series Analysis of Fish Production in Uganda: Application of Auto Regressive Integrated Moving Average | en_US |
| dc.type | Thesis | en_US |
