Results 121 to 130 of about 105,549 (303)
ARIMA models in Weather Forecasting
This study discusses the application of ARIMA models in weather forecasting. A seasonal ARIMA model is fitted to four years of data measured in Vienna, Austria. The goal is to predict the daily average temperature values for a test period of ten months. The ARIMA model shows reasonable performance on the test dataset and captures the yearly seasonality
openaire +1 more source
How Useful is Core Inflation for Forecasting Headline Inflation? [PDF]
The paper constructs various core inflation measures. These include various trimmed means using disaggregated data and a structural VAR estimate of core inflation for Ireland.
Colin Bermingham
core
Sequential Outlier Detection in Nonstationary Time Series
ABSTRACT A novel method for sequential outlier detection in nonstationary time series is proposed. The method tests the null hypothesis of “no outlier” at each time point, addressing the multiple testing problem by bounding the error probability of successive tests, using extreme‐value theory. The asymptotic properties of the test statistic are studied
Florian Heinrichs +2 more
wiley +1 more source
Maternal effects on recruitment of five gadoid species
Abstract Commercial fishing is almost always non‐random and generally removes large and old individuals from fish stocks, thereby reducing age diversity among spawners. Reduced age diversity may result in less stable recruitment. Here, we explore the influence of age diversity (H), mean age of the spawning stock (MA) and sea surface temperature (SST ...
Ingibjörg G. Jónsdóttir +3 more
wiley +1 more source
A hybrid ARIMA-BP approach for superior accuracy in predicting traffic accident losses
Accurately predicting losses resulting from traffic accidents holds crucial significance for accident prevention. Traffic accident forecasting faces challenges. For example, traffic accident forecasting models often exhibit suboptimal accuracy.
Jian Liu +4 more
doaj +1 more source
Peramalan Temperatur Udara di Kota Surabaya dengan Menggunakan ARIMA dan Artificial Neural Network [PDF]
Pada dekade terakhir terjadi peningkatan temperatur terutama di kota besar tidak terkecuali di Surabaya. Dampak yang ditimbulkan akibat kenaikan temperatur udara adalah kekeringan, krisis air, hingga Perubahan cuaca.
Machmudin, A. (Ali) +1 more
core
ABSTRACT A key challenge for the genetic improvement of canola (Brassica napus), one of the world's most important oilseeds, is the limited natural variation for commercially important traits. The creation of new variation is hindered by the lack of functional knowledge about genes controlling these traits.
Morgan W. Kirzinger +30 more
wiley +1 more source
Application of ARIMA Models in Forecasting Monthly Average Surface Temperature of Brong Ahafo Region of Ghana [PDF]
Ebenezer Afrifa‐Yamoah
openalex +1 more source
Retracted: Prediction of Incidence Trend of Influenza-Like Illness in Wuhan Based on ARIMA Model. [PDF]
Methods In Medicine CAM.
europepmc +1 more source
The Analysis of Time Series Data on Regression, Heuristic, and ARIMA Models
Nargiz Mammadova
openalex +1 more source

