Results 151 to 160 of about 10,065 (268)

Analysis of nonlinear systems using ARMA (autoregressive moving average) models

open access: yes, 1990
While many vibration systems exhibit primarily linear behavior, a significant percentage of the systems encountered in vibration and model testing are mildly to severely nonlinear.
Hunter, N.F. Jr.
core  

Declining Runoff Sensitivity to Precipitation Following Permafrost Degradation: Insights From Event‐Scale Runoff Response in the Yellow River Source Region

open access: yesWater Resources Research, Volume 62, Issue 6, June 2026.
Abstract Frozen ground, including permafrost and seasonally frozen ground (SFG), is a critical element of the cryosphere that strongly regulates hydrological processes in cold regions. It has been debated whether frozen ground degradation will make landscapes more, or less, sensitive to precipitation inputs; either outcome has profound implications for
Zhuoyi Tu   +7 more
wiley   +1 more source

FORECASTING WITH PREDICTION INTERVALS FOR PERIODIC ARMA MODELS. [PDF]

open access: yesJ Time Ser Anal, 2013
Anderson PL, Meerschaert MM, Zhang K.
europepmc   +1 more source

Development and Deployment of the Smart Active Ionising Radiation at Altitude (SAIRA) Instruments for Space Weather Applications

open access: yesSpace Weather, Volume 24, Issue 6, June 2026.
Abstract This paper introduces the latest generation of airborne ionising radiation monitors, developed at the Surrey Space Centre (SSC) as part of the United Kingdom's (UK's) Space Weather Instrumentation, Measurement, Modeling and Risk (SWIMMR) program.
B. Clewer   +7 more
wiley   +1 more source

On the Role of Electron Precipitation in Excess Radiation Doses Measured at Aviation Altitudes

open access: yesSpace Weather, Volume 24, Issue 6, June 2026.
Abstract Radiation from space in the form of galactic cosmic rays (GCRs) generates a persistent background of ionizing radiation in Earth's atmosphere. The dose rate of ionizing radiation due to GCRs increases from sea level to aviation altitudes.
Julia Luna Claxton, Robert Marshall
wiley   +1 more source

Using ARMA Models in Stochastic Enterprise Valuation

open access: yes
This article presents a method for estimating the variance of the firm or enterprise value distribution by incorporating temporal dependencies in cash flows using ARMA models.
Pflaumer, Peter, Jöckel, Karl-Heinz
core   +1 more source

The influence of a cluster‐rooted species on Bossiaea linophylla (Fabaceae) under extremely phosphorus‐impoverished conditions: Phosphorus competition and altered plant–microbe interactions

open access: yesFunctional Ecology, Volume 40, Issue 6, Page 1709-1724, June 2026.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Phosphorus (P) limitation may intensify plant competition. However, in severely P‐impoverished soils of south‐western Australia, cluster‐rooted Banksia attenuata (Proteaceae) can facilitate P acquisition of neighbouring species by mobilising tightly bound P from soil ...
Zhao Zhang   +6 more
wiley   +1 more source

Robust Simulation-Based Estimation of ARMA Models

open access: yes, 2001
This article proposes a new approach to the robust estimation of a mixed autoregressive and moving average (ARMA) model. It is based on the indirect inference method that originally was proposed for models with an intractable likelihood function.
de Luna, Xavier,, Genton, Marc G.
core  

Efficacy and Safety of Closure‐Focused Anti‐Reflux Mucoplasty Compared With Conventional ARMS: A Propensity Score–Matched Study (With Video)

open access: yesDigestive Endoscopy, Volume 38, Issue 6, June 2026.
ABSTRACT Background Endoscopic anti‐reflux therapies, including anti‐reflux mucosectomy (ARMS) and mucosal ablation (ARMA), offer minimally invasive treatment for gastroesophageal reflux disease (GERD) but carry risks of stenosis and delayed bleeding.
Kazuki Yamamoto   +9 more
wiley   +1 more source

Bayesian Analysis of ARMA Models

open access: yes
Root cancellation in Auto Regressive Moving Average (ARMA) models leads tolocal non-identification of parameters. When we use diffuse or normal priorson the parameters of the ARMA model, posteriors in Bayesian analyzes show ana posteriori favor for this ...
Frank R. Kleibergen, Henk Hoek
core  

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