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使月度或季度序列与年度总量一致：基于二次最小化的方法AI 解读

This article considers the problem of adjusting monthly or quarterly time series to make them accord with independent annual totals or averages without introducing artificial discontinuities. A general approach and some specific procedures involving constrained minimization of a quadratic form in the differences between revised and unrevised series are proposed. Some computational advantages are noted. Attention is given to the relationships between the adjustment problem…

满足线性约束的一组时间序列的分析方法AI 解读

Techniques are presented for decomposing each series in a set of time series into trend, seasonal, and non-seasonal, short-run components. The decomposition is such that if the original set of series satisfy a linear condition, the set of components of each type satisfy the same linear condition. This makes it possible to assess the contributions of different industries, commodities, etc., to different types of movements of weighted or unweighted aggregates. Additional…

受线性约束的一组时间序列的分析方法AI 解读

Techniques are presented for decomposing each series in a set of time series into trend, seasonal, and non-seasonal, short-run components. The decomposition is such that if the original set of series satisfy a linear condition, the set of components of each type satisfy the same linear condition. This makes it possible to assess the contributions of different industries, commodities, etc., to different types of movements of weighted or unweighted aggregates. Additional…