Forecasting: Methods and Applications

Known from its last editions as the "Bible of Forecasting", the third edition of this authoritative text has adopted a new approach-one that is as new as the latest trends in the field: "Explaining the past is not adequate for predicting the future". In other words, accurate forecasting requires more than just the fitting of models to historical data. Inside, readers will find the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. And readers will develop the necessary skills to meet the increased demand for thoughtful and realistic forecasts.

• Forecasting: principles and practice
• Advances in Financial Machine Learning
• Time Series Analysis
• The Book of Why: The New Science of Cause and Effect
• Applied Econometric Time Series (Wiley Series in Probability and Statistics)
• An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
• Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
• Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)
• Applied Predictive Modeling
• Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (The MIT Press)