The forecasting errors of statistical interpretation models for forecasting tropical cyclone motion by using NWP data are less than one of statistical models by using initial environment field predictors. 对NWP产品进行统计释用的热带气旋路径预报模式优于用初始场因子构造的统计预报模式。
This thesis makes a research on the algorithm of Statistical Forecasting Models and some of its new developments today. 本文是在导师王斌会教授广东省自然基金项目(统计预测方法的算法研究及计算机实现研究)的基础上进行的统计预测模型的算法研究,及其现今的一些新的发展。
The mathematical statistical analysis was adopted in analyzing and forecasting of power market loads and electricity quantity to establish mathematic models. 就电力市场负荷和电量分析预测工作中运用数理统计分析方法建立数学模型、进行分析预测作了详细介绍。
A Statistical Study on Phenological Forecasting Models in Xinjiang Area 新疆地区物候测报模式的统计研究
The linear statistical forecasting models, such as AR and ARIMA, have been applied in this area widely, but have not had ideal effect. 线性统计预测模型曾广泛应用于该领域,如AR、ARIMA模型等,但效果都不是很理想。
The paper firstly introduces the Bayesian statistical methods, Bayesian forecasting thought and research at home and abroad. Furthermore, the paper introduces various different Bayesian forecasting models in details, especially Bayesian Constant Mean Model ( BCM Model) which is deeply studied. 本文首先介绍了贝叶斯统计方法、贝叶斯预测思想及其国内外研究现状,并在此基础上,详细介绍了贝叶斯预测模型,并对贝叶斯预测模型,特别是贝叶斯常均值模型做了深入的研究。
This paper analyzes the advantages and disadvantages of statistical forecasting algorithms and intelligent prediction algorithm and proposes new power prediction models based on the characteristics of offshore wind farm. 本文分析了统计预测算法和智能预测算法的优缺点,并根据近海风场的特点,提出了新的功率预测模型,并利用非参数核密度估计法对预测结果做了不确定性分析。