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在各個可能需要量化資料的學門中，「統計」都是基礎入門的必修學科。其實數學計算只是統計的一小部份，本書有許多實際決策的例子，如果你覺得統計理論很無趣，或許可以先翻到每一章的最後看看作者舉的關於管理方面的決策實例，了解一下經理人是如何運用統計及各種運算結果（如圖表、迴歸模型等）來做預測及進一步的決策訂定，不太了解時，再看看該章的內文。當然，若先閱讀章節內文再看案例，和經理人一起想辦法解決他們面臨的問題

This introductory text also serves as a reference for professionals in such fields as marketing, finance, and production forecasting. The authors cover basic statistical concepts, regression analysis

As a part of statistical modeling, regression analysis is the process and technique of understanding the relationship between dependent and independent variables. It is used in forecasting and predict

Written to complement the second edition of best-selling textbook Introductory Econometrics for Finance, this book provides a comprehensive introduction to the use of the Regression Analysis of Time Series (RATS) software for modelling in finance and beyond. It provides numerous worked examples with carefully annotated code and detailed explanations of the outputs, giving readers the knowledge and confidence to use the software for their own research and to interpret their own results. A wide variety of important modelling approaches are covered, including such topics as time-series analysis and forecasting, volatility modelling, limited dependent variable and panel methods, switching models and simulations methods. The book is supported by an accompanying website containing freely downloadable data and RATS instructions.

Written to complement the second edition of best-selling textbook Introductory Econometrics for Finance, this book provides a comprehensive introduction to the use of the Regression Analysis of Time Series (RATS) software for modelling in finance and beyond. It provides numerous worked examples with carefully annotated code and detailed explanations of the outputs, giving readers the knowledge and confidence to use the software for their own research and to interpret their own results. A wide variety of important modelling approaches are covered, including such topics as time-series analysis and forecasting, volatility modelling, limited dependent variable and panel methods, switching models and simulations methods. The book is supported by an accompanying website containing freely downloadable data and RATS instructions.

Despite the unobserved components model (UCM) having many advantages over more popular forecasting techniques based on regression analysis, exponential smoothing, and ARIMA, the UCM is not well known