Results 21 to 30 of about 10,025,866 (332)

Demonstrating the value of larger ensembles in forecasting physical systems

open access: yesTellus: Series A, Dynamic Meteorology and Oceanography, 2016
Ensemble simulation propagates a collection of initial states forward in time in a Monte Carlo fashion. Depending on the fidelity of the model and the properties of the initial ensemble, the goal of ensemble simulation can range from merely quantifying ...
Reason L. Machete, Leonard A. Smith
doaj   +1 more source

Time for Time Series [PDF]

open access: yesOceanography, 2013
In this issue of Oceanography, Holliday and Cunningham (2013) extol the significance of long-term data sets in understanding the marine environment and, in particular, climate change.
Simon Boxall
doaj   +1 more source

Explainable Time Series Tree: An Explainable Top-Down Time Series Segmentation Framework

open access: yesIEEE Access, 2023
A wide range of Machine Learning algorithms can model time series to address classification, forecasting, and clustering problems. However, time series may exhibit characteristics that complicate these tasks, such as repeating patterns and seasonal ...
Vitor de Castro Silva   +3 more
doaj   +1 more source

Escape from model-land

open access: yesEconomics: Journal Articles, 2019
Both mathematical modelling and simulation methods in general have contributed greatly to understanding, insight and forecasting in many fields including macroeconomics.
Thompson Erica L., Smith Leonard A.
doaj   +1 more source

From time series to superstatistics [PDF]

open access: yes, 2005
Complex nonequilibrium systems are often effectively described by a `statistics of a statistics', in short, a `superstatistics'. We describe how to proceed from a given experimental time series to a superstatistical description.
Christian Beck   +6 more
core   +1 more source

Intuitionistic fuzzy time series functions approach for time series forecasting [PDF]

open access: yesGranular Computing, 2020
AbstractFuzzy inference systems have been commonly used for time series forecasting in the literature. Adaptive network fuzzy inference system, fuzzy time series approaches and fuzzy regression functions approaches are popular among fuzzy inference systems.
Egrioglu, Erol, Bas, Eren, Yolcu, Ufuk
openaire   +3 more sources

Assessing pricing assumptions for weather index insurance in a changing climate

open access: yesClimate Risk Management, 2014
Weather index insurance is being offered to low-income farmers in developing countries as an alternative to traditional multi-peril crop insurance. There is widespread support for index insurance as a means of climate change adaptation but whether or not
J.D. Daron, D.A. Stainforth
doaj   +1 more source

Real-Time Monitoring System for Shelf Life Estimation of Fruit and Vegetables

open access: yesSensors, 2020
The control of the main environmental factors that influence the quality of perishable products is one of the main challenges of the food industry.
Roque Torres-Sánchez   +4 more
doaj   +1 more source

Predictive analytics beyond time series: Predicting series of events extracted from time series data

open access: yesWind Energy, 2022
Realizing carbon neutral energy generation creates the challenge of accurately predicting time‐series generation data for long‐term capacity planning and for short‐term operational decisions.
Sambeet Mishra   +3 more
doaj   +1 more source

A Three-Stage Nonparametric Kernel-Based Time Series Model Based on Fuzzy Data

open access: yesMathematics, 2023
In this paper, a nonlinear time series model is developed for the case when the underlying time series data are reported by LR fuzzy numbers. To this end, we present a three-stage nonparametric kernel-based estimation procedure for the center as well as ...
Gholamreza Hesamian   +2 more
doaj   +1 more source

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