摘要
从粮食产量统计预测法模型的基本模式 :y =yt+yw+△y出发介绍了粮食产量预测因子的选择 ,因子相关和平稳性检验 ,因子膨化和线性化处理 ,趋势因子和趋势产量的分离 ,趋势产量的模拟 ,趋势产量的外延 ,波动产量的预测 ,预测误差的修正 ,多个预测结果的综合集成的主要数学模型、算法及其部分推导过程。文中所涉及的数学模型和算法均经过实际应用检验证明其行之有效 ,这些数学模型和算法对其它预测问题亦有借鉴作用。
Based on the pattern of statistic pr ed iction of foodstuff yield :y=y t+y w+△y,this paper introduced the major mathematic models of synthetic prediction of foodstuff yield, including choice o f factors, factors correlation and steady test; factorsexpandedand linearization disposal; separationof trend factors and trend yield; sim ulation of trend yield; extension of trend yield; prediction of fluctuating yield; revision of predicting errors; mathematic disposal and process of dedu ction , multi-result's synthetic integration. The mathematic models and arithme tic in this paper have been tested in practice and proved effective. The methods are also helpful in other model predictions.
出处
《华中农业大学学报》
CAS
CSCD
北大核心
2004年第6期680-684,共5页
Journal of Huazhong Agricultural University
关键词
粮食产量
预测因子
趋势产量
波动产量
误差修正
综合集成
foodstuff yield
predicting factors
trend yield
fluct uating yield
revision of errors
synthetic integration