机译:单变量和多元方法对不同长度的总序列进行季节性调整
National Institute for Applied Statistics Research Australia (NIASRA), School of Mathematics and Applied Statistics, University of Wollongong, NSW, Australia, National Institute for Applied Statistics Research Australia (NIASRA), School of Mathematics and Applied Statistics, University of Wollongong, 252 NSW, Australia;
National Institute for Applied Statistics Research Australia (NIASRA), School of Mathematics and Applied Statistics, University of Wollongong, NSW, Australia;
National Institute for Applied Statistics Research Australia (NIASRA), School of Mathematics and Applied Statistics, University of Wollongong, NSW, Australia;
Basic structural model; bootstrap correction; kalman filter; multivariate time series; naieve bias; parameter estimation; seasonal adjustment; state space model;
机译:使用一元和多元基本结构模型对总系列进行季节性调整
机译:使用单变量季节成分建模多元时间序列
机译:货币汇率建模的单变量和多元时间序列方法比较
机译:视觉和统计指导的单变量季节时间序列中缺失值的估算
机译:时间序列分析中的两篇文章:I.关于时间序列分解和季节调整的一些问题。二。非平稳时间序列的某些Portmanteau统计量的渐近分布。
机译:用单变量和多变量方法估算的小气候氨水平对不同肉鸡品种生产性能的影响
机译:使用一元和多元基本结构模型对总系列进行季节性调整