Amanote Research
Register
Sign In
Morphological-Rank-Linear Models for Financial Time Series Forecasting
doi 10.5772/8048
Full Text
Open PDF
Abstract
Available in
full text
Date
February 1, 2010
Authors
Ricardo de A. Arajo
Glucio G. de M. Melo
Adriano L. I. de Oliveira
Sergio C. B. Soares
Publisher
InTech
Related search
Load Forecasting Using Time Series Models
Jurnal Kejuruteraan
Estimation for Vector Linear Time Series Models
Bulletin of the Australian Mathematical Society
Mathematics
Analysis of Artificial Neural Network for Financial Time Series Forecasting
International Journal of Computer Applications
Air Traffic Forecasting Using Time Series Models
International Journal of Recent Technology and Engineering
Engineering
Management of Technology
Innovation
Forecasting Daily Time Series Using Periodic Unobserved Components Time Series Models
Computational Statistics and Data Analysis
Statistics
Probability
Applied Mathematics
Computational Theory
Computational Mathematics
Mathematics
Rank-Based Estimation for Autoregressive Moving Average Time Series Models
Journal of Time Series Analysis
Uncertainty
Applied Mathematics
Statistics
Probability
Inference Problems for Vector Linear Time Series Models
Bulletin of the Australian Mathematical Society
Mathematics
Gaussian Mixture Models for Time Series Modelling, Forecasting, and Interpolation
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Forecasting Economic Time Series Using Flexible Versus Fixed Specification and Linear Versus Nonlinear Econometric Models
International Journal of Forecasting
International Management
Business