Title :
Examination of Broiler Price Periods Using Wavelet Transforms and Variance Analysis
Author :
Sun, Aidong ; Lin, Xudong ; Lin, Piyuan ; Yan, Shangwei
Author_Institution :
Coll. of Inf., South China Agric. Univ., Guangzhou, China
fDate :
March 31 2009-April 2 2009
Abstract :
The examination of broiler price periods plays a crucial important role in forecasting broiler price for the poultry breeding industry because it is beneficial to maximizing the profit and minimizing the risk. As wavelet transforms are well known to work well for reducing the noise of the data, in this paper we perform wavelet transforms to de-noise the broiler prices, and then use variance analysis to seek length of the broiler price periods.
Keywords :
economic forecasting; farming; industrial economics; pricing; profitability; risk management; statistical analysis; time series; wavelet transforms; broiler price period forecasting; data noise reduction; poultry breeding industry; profit maximization; risk minimization; time series; variance analysis; wavelet transform; Agricultural engineering; Analysis of variance; Computer science; Discrete wavelet transforms; Economic forecasting; Equations; Noise reduction; Wavelet analysis; Wavelet transforms; Working environment noise; price periods; time series; variance analysis; wavelet transforms;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.324
