Analyzing the impact of a state concussion law using an autoregressive integrated moving average intervention analysis
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1472-6963
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Analyzing the impact of a state concussion law using an autoregressive integrated moving average intervention analysis ; volume:20 ; number:1 ; day:24 ; month:9 ; year:2020 ; pages:1-8 ; date:12.2020
BMC health services research ; 20, Heft 1 (24.9.2020), 1-8, 12.2020
- Urheber
-
Huang, Lihong
Sullivan, Lindsay
Yang, Jingzhen
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12913-020-05742-0
- URN
-
urn:nbn:de:101:1-2020111219534458346200
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
2025-08-15T07:25:42+0200
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Huang, Lihong
- Sullivan, Lindsay
- Yang, Jingzhen
- SpringerLink (Online service)
Ähnliche Objekte (12)
Time frequency autoregressive moving average modeling
Spatial autoregressive fractionally integrated moving average model
Known Moving-Average Transformations and Autoregressive Processes
Bootstrap for continuous-time autoregressive moving average processes
Estimation of Cointegrated Multivariate Continuous-Time Autoregressive Moving Average Processes
Adaptive Online Learning for the Autoregressive Integrated Moving Average Models
Persistence exponents via perturbation theory : autoregressive and moving average processes
Heteroskedasticity of unknown form in spatial autoregressive models with a moving average disturbance term
Root tracking using time-varying autoregressive moving average models and sigma-point Kalman filters
Network anomaly detection for railway critical infrastructure based on autoregressive fractional integrated moving average
Nonparametric mixed exponentially weighted moving average-moving average control chart
Univariate autoregressive Moving-Average-Prozesse und die Anwendung der Box-Jenkins-Technik in der Zeitreihenanalyse
Time frequency autoregressive moving average modeling
Spatial autoregressive fractionally integrated moving average model
Known Moving-Average Transformations and Autoregressive Processes
Bootstrap for continuous-time autoregressive moving average processes
Estimation of Cointegrated Multivariate Continuous-Time Autoregressive Moving Average Processes
Adaptive Online Learning for the Autoregressive Integrated Moving Average Models
Persistence exponents via perturbation theory : autoregressive and moving average processes
Heteroskedasticity of unknown form in spatial autoregressive models with a moving average disturbance term
Root tracking using time-varying autoregressive moving average models and sigma-point Kalman filters
Network anomaly detection for railway critical infrastructure based on autoregressive fractional integrated moving average
Nonparametric mixed exponentially weighted moving average-moving average control chart
Univariate autoregressive Moving-Average-Prozesse und die Anwendung der Box-Jenkins-Technik in der Zeitreihenanalyse
Time frequency autoregressive moving average modeling
Spatial autoregressive fractionally integrated moving average model
Known Moving-Average Transformations and Autoregressive Processes
Bootstrap for continuous-time autoregressive moving average processes
Estimation of Cointegrated Multivariate Continuous-Time Autoregressive Moving Average Processes
Adaptive Online Learning for the Autoregressive Integrated Moving Average Models
Persistence exponents via perturbation theory : autoregressive and moving average processes
Heteroskedasticity of unknown form in spatial autoregressive models with a moving average disturbance term
Root tracking using time-varying autoregressive moving average models and sigma-point Kalman filters
Network anomaly detection for railway critical infrastructure based on autoregressive fractional integrated moving average
Nonparametric mixed exponentially weighted moving average-moving average control chart