Also found in: Wikipedia.
ARIMAAuto Regressive Integrated Moving Average
ARIMAAssociation of Risk and Insurance Managers of Australia
References in classic literature ?
There, then, did the gods appoint her a glorious house to dwell in: and she keeps guard in Arima beneath the earth, grim Echidna, a nymph who dies not nor grows old all her days.
For the analyses, monthly data on book borrowing for the period 1998-2013 was used to fit an ARIMA model, which later used to predict out-of-sample book borrowing for the year 2014.
El modelo ARIMA (Autoregressive integrated moving average)
Tambien se calculo Mh haciendo n = 21, es decir, con periodos aun no observados 20 y 21, para lo cual se establecieron pronosticos haciendo uso del siguiente conjunto de modelos ARIMA (Lopez et al., 2015): ARIMA(1,1,0), ARIMA(2,1,0), ARIMA(1,2,0), ARIMA(2,2,0), ARIMA(0,0,1), ARIMA(0,1,1), ARIMA(0,1,2), ARIMA(0,2,1) y ARIMA(0,2,2).
Those resemblances or differences are explained, while the conclusion will highlight ARIMA's capacity or incapacity of forecasting in an accurate way, in the presented context.
Na secao seguinte e apresentada uma revisao de literatura, fundamentada em dois topicos relevantes para a discussao desta pesquisa, o primeiro trata de uma breve revisao acerca dos modelos para previsao de series temporais, enquanto o segundo aborda a modelagem ARIMA, assim como a abordagem para combinacao de previsoes.
I want to thank the fans because they meant we could contest the Arima Kinen.
Arima Genomics is a biotechnology company that aims to accelerate the understanding of genome sequence and structure and their role in health, disease, and species evolution.
ARIMA method little bit different with others method because it does not assume pattern from historical data.
(2005) employed the ARIMA model to forecast wheat production and the land required to grow it, using production data from the previous 30 years to forecast for the next 10 years.
That is why it is important to study human trophoblast development and function, wrote Arima. The goal of the research was to establish human trophoblast stem cells [as a tool for future study].
Being smooth, low-frequency components always reflect the fluctuated trend of original series; thus concise and suitable models like ARIMA possess the capability to predict it.