Results 11 to 20 of about 198 (153)
The fuzzy time series method for forecasting continues to develop over time. This research discusses fuzzy time series, which considers two factors for high order using interval partitioning based on interval ratio with long relation construction for ...
Etna Vianita +2 more
doaj +2 more sources
Muchas series de tiempo con tendencia y ciclos estacionales son exitosamente modeladas y pronosticadas usando el modelo airline de Box y Jenkins; sin embargo, la presencia de no linealidades en los datos son despreciadas por este modelo. En este artículo,
J D Velásquez, C J Franco
doaj +3 more sources
Estimation and inference in adaptive learning models with slowly decreasing gains
An asymptotic theory for estimation and inference in adaptive learning models with strong mixing regressors and martingale difference innovations is developed. The maintained polynomial gain specification provides a unified framework which permits slow convergence of agents' beliefs and contains recursive least squares as a prominent special case ...
Alexander Mayer
wiley +1 more source
A novel approach to compare the spectral densities of some uncorrelated cyclostationary time series
Our primary objective in this article is to compare the spectral densities of some cyclostationary time series. By using the limiting distributions of the discrete Fourier transform, a novel approach is introduced to determine whether the spectral ...
Mohammad Reza Mahmoudi +4 more
doaj +1 more source
Locf imputation for Astra Agro Lestari Tbk. (Indonesia) and Anadolu Group (Turkey) stock
This study aims to apply time series graphs on stock of Astra Agro Lestari Tbk. and Anadolu Group with last observation carried forward (LOCF) imputation. The imputation was used because the data for the two companies had missing values on several dates.
Fadhlul Mubarak +2 more
doaj +1 more source
Peramalan nilai tukar rupiah terhadap dollar Amerika menggunakan model ARIMA
The exchange rate of the Rupiah against the currencies of other countries is one of the factors in identifying the condition of an economic condition.
Andreas Rony Wijaya
doaj +1 more source
Time series modelling of the Kobe‐Osaka earthquake recordings
A problem of great interest in monitoring a nuclear test ban treaty (NTBT) is related to interpreting properly the differences between a waveform generated by a nuclear explosion and that generated by an earthquake. With a view of comparing these two types of waveforms, Singh (1992) developed a technique for identifying a model in time domain ...
N. Singh +2 more
wiley +1 more source
Quasi-maximum likelihood estimator of Laplace (1, 1) for GARCH models
This paper studies the quasi-maximum likelihood estimator (QMLE) for the generalized autoregressive conditional heteroscedastic (GARCH) model based on the Laplace (1,1) residuals.
Xuan Haiyan +3 more
doaj +1 more source
The Infant Mortality Rate (IMR) is fundamental indicator that reflects the health status in the surrounding community. The Infant Mortality Rate is still categorized as high in Indonesia.
Muhammad Marizal +1 more
doaj +1 more source
Parallelization algorithms for modeling ARM processes
AutoRegressive Modular (ARM) processes are a new class of nonlinear stochastic processes, which can accurately model a large class of stochastic processes, by capturing the empirical distribution and autocorrelation function simultaneously. Given an empirical sample path, the ARM modeling procedure consists of two steps: a global search for locating ...
Benjamin Melamed, Santokh Singh
wiley +1 more source

