An alternative approach to capture cyclical and volatile phenomena in time-series data-Reference-Cited by-同舟云学术

An alternative approach to capture cyclical and volatile phenomena in time-series data

Published:2016-07-13 Issue:3 Volume:11 Page:221-230
ISSN:1574-1699
Container-title:Model Assisted Statistics and Applications
language:
Short-container-title:MAS

Author:

Gurung Bishal¹,Paul Ranjit Kumar¹,Singh K.N.¹,Panwar Sanjeev¹,Lama Achal¹,Lepcha Lawrence²

Affiliation:

1. ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India

2. UBKV, Coochbehar, India

Publisher

IOS Press

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

Reference12 articles.

1. A note on estimating autoregressive exponential models;Baragona,;Quaderni di Statistics,2002

2. Efficient estimation and inferences for varying-coefficient models;Cai,;Journal of the American Statistical Association,2000

3. Forecasting and trading currency volatility: An application of recurrent neural regression and model combination;Dunis,;Journal of Forecasting,2002

4. Dynamics of EXPAR models for high frequency data;Ghazal,;International Journal of Applied Mathematics and Statistics,2009

5. Methodology for combining linear and nonlinear time-series models for cyclical data;Ghosh,;Journal of the Indian Society of Agricultural Statistics,2011

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