Results 131 to 140 of about 73,625 (339)

Optimizing support vector machines and autoregressive integrated moving average methods for heart rate variability data correction. [PDF]

MethodsX, 2023
Svane J, Wiktorski T, Ørn S, Eftestøl TC.   +3 more
europepmc   +1 more source

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

Journal of Forecasting, EarlyView.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

Development of a first order integrated moving average model corrupted with a Markov modulated convex combination of autoregressive moving average errors

Statistical Theory and Related Fields, 2019
With a view to providing a tool to accurately model time series processes which may be corrupted with errors such as measurement, round-off and data aggregation, this study developed an integrated moving average (IMA) model with a transition matrix for ...
S. A. Komolafe, T. O. Obilade, I. O. Ayodeji, A. R. Babalola   +3 more
doaj   +1 more source

Forecasting New Tuberculosis Cases in Malaysia: A Time-Series Study Using the Autoregressive Integrated Moving Average (ARIMA) Model. [PDF]

Cureus, 2023
Ab Rashid MA, Ahmad Zaki R, Wan Mahiyuddin WR, Yahya A.   +3 more
europepmc   +1 more source

Autoregressive Integrated Moving Average Model for Polar Seas Ice Prediction

International Journal of Mathematical Models and Methods in Applied Sciences, 2020
Sea ice predictions are very important for the future of polar climates and play a significant role in ecosystems. Models are the simulated representations that have been set up to research systems. To advance model forecasts, researchers require improved parameterizations that are formed by the assembling and analysis of convenient observations.
openaire   +1 more source

Modelando a sazonalidade e o processo gerador da série de tempo do emprego rural no estado de São Paulo [PDF]

This paper used the X-12 method, seasonal unit root and Autoregressive Integrated Moving Average Model to identify and to model the generator process of rural employment in the state of São Paulo in the period from January 1996 to December 2006.
Fredo, Carlos Eduardo, Margarido, Mario Antonio   +1 more
core   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, EarlyView.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source

An investigation of income inequality through autoregressive integrated moving average and regression analysis

Healthcare Analytics
Income inequality is a prominent contributor to health disparities in the U.S. As a leading capitalist nation, the U.S. registers the highest healthcare expenditure among developed countries yet grapples with widening income disparities.
John Wang, Zhi Kacie Pei, Yawei Wang, Zhaoqiong Qin   +3 more
doaj   +1 more source

Forecasting OPEC Crude Oil Price Using Fuzzy Autoregressive Integrated Moving Average (FARIMA) Model [PDF]

Pizhūhishnāmah-i Iqtiṣād-i Inirzhī-i Īrān, 2013
Crude oil prices are influenced by many factors. Inclusion of all these determinants in a single model is complex and inefficient. In this case, using time series approach might be appropriate.
mansoor zara nejad, poyan kiani, salah ebrahimi, ali raoofi   +3 more
doaj  

The Brazilian National Oral Health Policy and oral cancer mortality trends: An autoregressive integrated moving average (ARIMA) model. [PDF]

PLoS One, 2023
Costa EM, Magalhães Rodrigues ES, de Sousa FS, Pimentel FB, Sodré Lopes MB, Vissoci JRN, Thomaz EBAF.   +6 more
europepmc   +1 more source