Business Conditions & Forecasting – Exponential
نویسنده
چکیده
Dr. Thomas C. Chiang LECTURE 2 MOVING AVERAGES AND EXPONENTIAL SMOOTHING OVERVIEW This lecture introduces time-series smoothing forecasting methods. Various models are discussed, including methods applicable to nonstationary and seasonal time-series data. These models are viewed as classical time-series model; all of them are univariate. LEARNING OBJECTIVES • Moving averages • Forecasting using exponential smoothing • Accounting for data trend using Holt's smoothing • Accounting for data seasonality using Winter's smoothing • Adaptive-response-rate single exponential smoothing
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