Maculate
发表于 2025-3-21 16:52:47
书目名称Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0863082<br><br> <br><br>书目名称Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0863082<br><br> <br><br>书目名称Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0863082<br><br> <br><br>书目名称Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0863082<br><br> <br><br>书目名称Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0863082<br><br> <br><br>书目名称Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0863082<br><br> <br><br>书目名称Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0863082<br><br> <br><br>书目名称Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0863082<br><br> <br><br>书目名称Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0863082<br><br> <br><br>书目名称Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0863082<br><br> <br><br>
flaggy
发表于 2025-3-21 22:13:19
Book 2016operties and limitations of X12ARIMA, TRAMO-SEATS and STAMP - the main seasonal adjustment methods used by statistical agencies. Several real-world cases illustrate each method and real data examples can be followed throughout the text. The trend-cycle estimation is presented using nonparametric te
用肘
发表于 2025-3-22 01:32:56
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commodity
发表于 2025-3-22 06:25:40
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arcane
发表于 2025-3-22 10:42:48
Time Series Components,different types of temporal variations. This chapter introduces the definitions and assumptions made on these unobservable components that are: (1) a long-term tendency or ., (2) . superimposed upon the long-term trend. These cycles appear to reach their peaks during periods of economic prosperity a
感情
发表于 2025-3-22 14:17:32
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insular
发表于 2025-3-22 18:14:45
Linear Filters Seasonal Adjustment Methods: Census Method II and Its Variantsing (and subtracting) one observation at a time. This chapter discusses with details the basic properties of the symmetric and asymmetric filters of the Census Method II-X11 method which belong to this class. It also discusses the basic assumptions of its two more recent variants, X11ARIMA and X12AR
avulsion
发表于 2025-3-22 22:44:40
Seasonal Adjustment Based on ARIMA Model Decomposition: TRAMO-SEATSA) the deterministic components, trading days, moving holidays, and outliers, which are later removed from the input data. In a second round, SEATS estimates the stochastic components, seasonality, and trend-cycle, from an ARIMA model fitted to the data where the deterministic components are removed
MOT
发表于 2025-3-23 03:19:30
Seasonal Adjustment Based on Structural Time Series Modelsed time series to the unobserved components. Simple ARIMA or stochastic trigonometric models are a priori assumed for each unobserved component. Structural Time series Analyzer, Modeler, and Predictor (STAMP) is the main software and includes several types of models for each component. This chapter
决定性
发表于 2025-3-23 07:49:11
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