Results 41 to 50 of about 72,436 (339)

Annual forecasting of inflation rate in Iran: Autoregressive integrated moving average modeling approach

open access: yesEngineering Reports, 2021
Box‐Jenkins methodology is one of the most famous modeling approaches to describe the underlying stochastic structure and forecasting future values of various phenomena.
Samrad Jafarian‐Namin   +3 more
doaj   +1 more source

A Weighted Moving Average Process for Forcasting [PDF]

open access: yes, 2007
A forecasting model for a nonstationary stochastic realization is proposed based on modifying a given time series into a new k-time moving average time series.
Shih, Shou Hsing, Tsokos, Chris P.
core   +3 more sources

​Did a Non‐Medical Biosimilar Switching Policy Cause an Increase in Non‐Biologic/Biosimilar Health Care Resource Utilization or Cost in Patients With Inflammatory Arthritis?

open access: yesArthritis Care &Research, EarlyView.
Objective This study aimed to evaluate the impact of a series of policies that mandated switching patients with inflammatory arthritis (IA) from an originator biologic to a biosimilar in British Columbia, Canada, on health care resource use and cost.
HaoHung Dang   +4 more
wiley   +1 more source

On time series modeling of Nigeria's external reserves [PDF]

open access: yes, 2015
This paper proposes three short-term forecasting models for the adjusted external reserves using the seasonal autoregressive integrated moving average (SARIMA), seasonal autoregressive integrated moving average with an exogenous input (SARIMA-X) and an ...
Alade, Sarah O., Doguwa, Sani I.
core  

Identification of Optimal Autoregressive Integrated Moving Average Model on Temperature Data [PDF]

open access: yes, 2011
Autoregressive Integrated Moving Average (ARIMA) processes of various orders are presented to identify an optimal model from a class of models. Parameters of the models are estimated using an Ordinary Least Square (OLS) approach.
Fasoranbaku, Olusoga Akin   +1 more
core   +2 more sources

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Rubber Production Projection in Riau Province using Autoregressive Integrated Moving Average (ARIMA) Approach

open access: yesJurnal Economia, 2022
Rubber has long  been become a mainstay of Indonesian exports along with oil palm, coffee and tea. As a commodity that has increasing world demand, rubber exports are given priority.
Fadhlan Zuhdi   +2 more
doaj   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

open access: yesAdvanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz   +5 more
wiley   +1 more source

Forecasting telecommunications data with Autoregressive Integrated Moving Average models [PDF]

open access: yes2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS), 2015
Forecasting of telecommunication data find difficult according to International Telecommunication Union (ITU) due to uncertainty involved and the continuous growth of data in telecommunication markets as it helps them in planning and determining their networks. So, there is a need of good forecasting model to predict the future.
Nilesh Subhash Nalawade   +1 more
openaire   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

open access: yesAdvanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

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