2020
DOI: 10.1007/s11431-020-1652-4
|View full text |Cite
|
Sign up to set email alerts
|

Parametric modeling of hypersonic ballistic data based on time varying auto-regressive model

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2025
2025

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 8 publications
(1 citation statement)
references
References 29 publications
0
1
0
Order By: Relevance
“…The traditional analysis methods mainly include the classical Auto Regressive (AR) [2] and Moving Average (MA) [3] models, which have been applied to learning the linear characteristics of network traffic; in addition, these models have also been derived together into the Auto Regressive Moving Average (ARMA) [4] model. ARMA combines both AR and MA to obtain more accurate predictions than both.…”
Section: Introductionmentioning
confidence: 99%
“…The traditional analysis methods mainly include the classical Auto Regressive (AR) [2] and Moving Average (MA) [3] models, which have been applied to learning the linear characteristics of network traffic; in addition, these models have also been derived together into the Auto Regressive Moving Average (ARMA) [4] model. ARMA combines both AR and MA to obtain more accurate predictions than both.…”
Section: Introductionmentioning
confidence: 99%