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Tác giả: Robert H. Shumway
Thông tin XB: Springer, 2025
Mô tả vật lý: 608
Tóm tắt: Time series analysis involves the chronological ordering of data points to identify patterns, trends, and dependencies over time, crucial for forecasting and understanding complex systems. Key applications include financial risk analysis, market trend prediction, and understanding physical phenomena like weather patterns, with the statistical software R providing powerful tools for these analyses.
Từ khóa: Time Series AnalysisIts ApplicationsNgôn ngữ lập trình R

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