Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jonathan Woody"'
Publikováno v:
Atmosphere, Vol 12, Iss 7, p 820 (2021)
Several attempts to assess regional snow depth trends have been previously made. These studies estimate trends by applying various statistical methods to snow depths, new snowfalls, or their climatological proxies such as snow water equivalents. In m
Externí odkaz:
https://doaj.org/article/0f2ccb2608e1412fb90d62ce437e6450
Publikováno v:
Annals of Vascular Surgery. 90:55
Objective Iatrogenic injury to the large abdominopelvic veins can he highly morbid, and open surgical repair is technically challenging. Endovascular repair with covered stenting across the injured segment offers an alternative to open surgical manag
Publikováno v:
Environmental and Ecological Statistics. 27:609-628
This paper introduces a time-varying parameter regression model for modeling, forecasting, and assessing inter-annual trends in daily snow depths. The time-varying parameter regression is written in a simple state-space representation and forecasted
Publikováno v:
Atmosphere
Volume 12
Issue 7
Atmosphere, Vol 12, Iss 820, p 820 (2021)
Volume 12
Issue 7
Atmosphere, Vol 12, Iss 820, p 820 (2021)
Several attempts to assess regional snow depth trends have been previously made. These studies estimate trends by applying various statistical methods to snow depths, new snowfalls, or their climatological proxies such as snow water equivalents. In m
Publikováno v:
Environmetrics. 31
This paper develops methods to estimate a long‐term trend in a daily snow depth record. The methods use a storage equation model for the daily snow depths that allows for seasonality, support set features (snow depths cannot be negative), correlati
Publikováno v:
Open Geosciences, Vol 8, Iss 1, Pp 310-322 (2016)
This article presents a study of the ground thermal regime recorded at 11 stations in the North Dakota Agricultural Network. Particular focus is placed on detecting trends in the annual ground freeze process portion of the ground thermal regime’s d
Publikováno v:
Environmetrics. 27:198-211
The statistician often needs to test whether or not a time series has a seasonal first moment. The problem often arises in environmental series, where most time-ordered data display some type of periodic structure. This paper reviews the problem, pro
Autor:
Jonathan Woody
Publikováno v:
Statistics & Probability Letters. 102:22-29
A changepoint in a time series is a time in which any change in the distributional form (marginal or joint) of the series occurs. This includes changes in mean or covariance structure of the time series. Mean level shift changepoints have been shown
Autor:
Robert Lund, Jonathan Woody
Publikováno v:
Statistics & Probability Letters. 95:118-124
A changepoint in a time series is a time of change in the marginal distribution, autocovariance, or any other distributional structure of the series. Examples include mean level shifts and volatility (variance) changes. Climate data, for example, is
Publikováno v:
Journal of Hydrometeorology. 15:1070-1077
High-resolution satellite precipitation estimates, such as the Climate Prediction Center morphing technique (CMORPH), provide alternative sources of precipitation data for hydrological applications, especially in regions where adequate ground-based i