Efficiency of Nonparametric Estimators for Missing Observations of Bilinear Time Series with Gaussian Innovation
| dc.contributor.author | OWILI ABAJA, POTI | |
| dc.contributor.author | NASSIUMA, DANKT | |
| dc.contributor.author | ORAWO, DR LUKE | |
| dc.date.accessioned | 2023-03-15T12:20:25Z | |
| dc.date.available | 2023-03-15T12:20:25Z | |
| dc.date.issued | 2016-07 | |
| dc.description.abstract | A time series is defined as data recorded sequentially Since the data are records taken overtime, very common. They may occur as a result lost records, deletion of outliers, calender instruments Being unable to account for missing data has A severe miss-representation of the phenomen overtime, missing observations in time series are result of calender effects and defective measuring has several limitatio | en_US |
| dc.identifier.uri | http://ir.kabarak.ac.ke/handle/123456789/1461 | |
| dc.language.iso | en | en_US |
| dc.publisher | kabarak university | en_US |
| dc.subject | Efficiency of Nonparametric Estimators | en_US |
| dc.subject | Missing Observations of Bilinear Time Series | en_US |
| dc.subject | Gaussian Innovation | en_US |
| dc.title | Efficiency of Nonparametric Estimators for Missing Observations of Bilinear Time Series with Gaussian Innovation | en_US |
| dc.type | Presentation | en_US |