Praise for the First Edition "...[t]he book is great for readers who need to apply the methods and models presented but have little background in mathematics an
Some of the key mathematical results are stated without proof in order to make the underlying theory acccessible to a wider audience. The book assumes a knowled
Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic
An accessible introduction to the most current thinking in and practicality of forecasting techniques in the context of time-oriented data. Analyzing time-orien
Time series forecasting is different from other machine learning problems. The key difference is the fixed sequence of observations and the constraints and addi