مشروع البحث:
Statistical Analysis of Stable Discrete Time Series Using Missed Observations and Its Applications

dc.contributor.advisorDr. Amira Ibrahim Al-Desouki
dc.date.accessioned2024-12-08T08:29:14Z
dc.date.available2024-12-08T08:29:14Z
dc.descriptionAssumption (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.abstractThis 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.identifier68
dc.identifier.urihttps://dspace.academy.edu.ly/handle/123456789/597
dc.subjectStatistical Analysis of Stable Discrete Time Series Using Missed Observations and Its Applications
dc.titleStatistical Analysis of Stable Discrete Time Series Using Missed Observations and Its Applications
dspace.entity.typeProject
project.endDate2019
project.funder.nameهندسة الحاسوب
project.investigatorمحمدعلي الارقط
project.startDate2018
relation.isOrgUnitOfProjectd70558aa-ae49-4279-9e5d-a763f40a7531
relation.isOrgUnitOfProject.latestForDiscoveryd70558aa-ae49-4279-9e5d-a763f40a7531
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