Results 11 to 20 of about 361,494 (239)
Çorum Çat Deresi Yıllık Akım Serisinin Stokastik Analizi
Bu çal ışma, Çorum Çat Deresinde ölçülen y ı ll ı k ak ı m serisinin modellenmesi amac ı yla yap ı lm ışt ı r. Yı ll ı k ak ı m serisinin modellenmesinde ARMA p,q modelleri kullan ı lm ışt ı r.
Kadri Yüreklı
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Background and study aims Antireflux mucosectomy (ARMS) and antireflux mucosal ablation (ARMA) are new endoscopic procedures for patients with gastroesophageal reflux disease (GERD).
Enrique Rodríguez de Santiago +11 more
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Pronóstico policial en fenómenos delictivos y sistema de Anticipación estratégica [PDF]
El artículo tiene como objetivo analizar la tipología de los hurtos a comercios, registrados en Bogotá durante los años 2016 y 2017. La investigación sigue un enfoque cuantitativo, diseño transversal longitudinal, con técnica para series temporales ...
osé Joaquín Martínez Lozano +2 more
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In this paper, a hybrid of a Wavelet Decomposition–Generalised Auto-Regressive Conditional Heteroscedasticity–Extreme Value Theory (WD-ARMA-GARCH-EVT) model is applied to estimate the Value at Risk (VaR) of BitCoin (BTC/USD) and the South African Rand ...
Thabani Ndlovu, Delson Chikobvu
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A Continuous Time GARCH Process of Higher Order [PDF]
A continuous time GARCH model of order (p,q) is introduced, which is driven by a single Lévy process. It extends many of the features of discrete time GARCH(p,q) processes to a continuous time setting.
Brockwell, Peter J. +2 more
core +2 more sources
This paper presents a model for short-term forecasting of solar potential on a horizontal surface. This study is carried out in to the context of valuing of energy production from photovoltaic solar sources in the Sahelian zone.
A. Mbaye +8 more
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BOOTSTRAP FOR ORDER IDENTIFICATION IN ARMA(p,q) STRUCTURES
The identification of de order p,q, of ARMA models is a critical step in time-series modelling. In classic Box-Jenkins method of identification the autocorrelation function (ACF) and the partial autocorrelation (PACF) function should be estimated, but the classical expressions used to measure the variability of the respective estimators are obtained on
Chaves Neto, Anselmo +1 more
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The objective of this work is to investigate experimentally the well-known autoregressive models as simplest algorithms simulating prediction processes of the stockholders using the historical stock rates only.
Jonas Mockus, Joana Katina, Igor Katin
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The adoption of climate-smart agriculture requires the comprehensive development of environmental monitoring tools, including online observation of climate and soil settings.
Elena Ponkina +3 more
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A Bayes algorithm for model compatibility and comparison of ARMA(p,q) models [PDF]
Abstract The paper presents a Bayes analysis of an autoregressive-moving average model and its components based on exact likelihood and weak priors for the parameters where the priors are defined so that they incorporate stationarity and invertibility restrictions naturally.
Tripathi, Praveen Kumar +2 more
openaire +2 more sources

