Results 71 to 80 of about 13,873,042 (261)
Two level Differential Evolution algorithms for ARMA parameters estimatio [PDF]
The problem of determining simultaneously the model order and coefficient of an Autoregressive Moving Average (ARMA) model is examined in this paper. An Evolutionary Algorithm (EA) comprising two-level Differential Evolution (DE) optimization scheme ...
Tijani, Ismaila +2 more
core +1 more source
Herbivore and mesocarnivore carcasses trigger divergent short‐term changes in soil properties
Scavengers reshape nutrient cycles in soils under carrion. Compared to herbivore carcasses, smaller but longer‐lasting carnivore remains boost nutrient levels and microbial activity in dry soils. Abstract Animal corpses act as pulses of organic matter (OM) and serve a key zoogeochemical role by providing localized nutrient inputs to soils and thereby ...
Adrián Colino‐Barea +15 more
wiley +1 more source
Volatility modelling is a key feature of financial risk management, portfolio optimisation, and forecasting, particularly for market indices such as the JSE Top40 Index, which serves as a benchmark for the South African stock market.
Israel Maingo +2 more
doaj +1 more source
Suatu aliran sungai menentukan prediksi debit sungai sulit, biasanya nilai yang digunakan sebagai patokan adalah hasil pantauan tinggi muka air. Pada bulan Juli 2016, luapan sungai Bengawan Solo mengakibatkan banjir di kawasan Solo Timur.
Retno Tri Vulandari +1 more
doaj +1 more source
On the stability of nonlinear ARMA models [PDF]
In the present paper we study the stability of a class of nonlinear ARMA models. We derive a sufficient condition to ensure the geometric ergodicity and we apply it to a very general threshold ARMA model imposing a mild assumption on the ...
Fonseca Giovanni
core
How Important Are Sectoral Shocks in Australia?
ABSTRACT We examine the role of sectoral shocks in driving aggregate fluctuations for the Australian economy between 1994 and 2023, comparing the pre‐COVID and COVID periods. Using both statistical and structural factor models for disaggregated industrial production, we find that sectoral shocks accounted for a substantial portion of aggregate ...
Longye Tian, James Morley
wiley +1 more source
ARMA Models for Mortality Forecast
In the last several decades, many countries have been paying a lot of attention to mortality forecastingbecause of high longevity risk. The purpose of this paper is to analyze mortality characteristics of Baltic countries andmake predictions using ARMA models.
Šiškina, Natalja, Šiaulys, Jonas
openaire +5 more sources
Using Survey Expectations to Measure the Output Gap
ABSTRACT Research Question/Issue How can survey‐based measures of expected output be used to construct a reliable, timely measure of the output gap for the Australian economy? Research Findings/Insights A Vector‐Autoregressive model of actual and expected output (VAR‐E), estimated using Consensus Economics survey forecasts alongside ABS GDP data ...
Kevin Lee, Kalvinder Shields
wiley +1 more source
MODEL SELECTION CRITERIA AND QUADRATIC DISCRIMINATION IN ARMA AND SETAR TIME SERIES MODELS [PDF]
We show that analyzing model selection in ARMA time series models as a quadratic discrimination problem provides a unifying approach for deriving model selection criteria.
Daniel Peña, Pedro Galeano
core
Real GDP Growth Predictability and Implications for Estimating Australia's Output Gap
ABSTRACT The output gap, defined as the cyclical component of real GDP, is a key variable for macroeconomic policy. It is also sometimes analogously interpreted as a measure of the business cycle. Real GDP growth in Australia has been known to be almost unpredictable beyond a constant level using standard time series models of its own past outcomes. We
Gilliane De Gorostiza‐Roudnitski +1 more
wiley +1 more source

