مشروع البحث: Statistical Analysis of Stable Discrete Time Series Using Missed Observations and Its Applications
dc.contributor.advisor | Dr. Amira Ibrahim Al-Desouki | |
dc.date.accessioned | 2024-12-08T08:29:14Z | |
dc.date.available | 2024-12-08T08:29:14Z | |
dc.description | Assumption (1) means in effect, the main statistical properties of the series remain constants over time, and Assumption (2) means that the values of the observed series can be represented as linear combinations of present and past values of a "strictly random" or "independent" series. Needless to say, | |
dc.description.abstract | This chapter concerned with some definitions of time series and usage of an analytical spectrum of time series and provide the reader with the basic terminology of the thesis, fundamental concepts and theorems that form the basis of time series analysis and spectral density estimate. | |
dc.identifier | 68 | |
dc.identifier.uri | https://dspace.academy.edu.ly/handle/123456789/597 | |
dc.subject | Statistical Analysis of Stable Discrete Time Series Using Missed Observations and Its Applications | |
dc.title | Statistical Analysis of Stable Discrete Time Series Using Missed Observations and Its Applications | |
dspace.entity.type | Project | |
project.endDate | 2019 | |
project.funder.name | هندسة الحاسوب | |
project.investigator | محمدعلي الارقط | |
project.startDate | 2018 | |
relation.isOrgUnitOfProject | d70558aa-ae49-4279-9e5d-a763f40a7531 | |
relation.isOrgUnitOfProject.latestForDiscovery | d70558aa-ae49-4279-9e5d-a763f40a7531 |