Cover of Forecasting: Principles and Practice

Forecasting: Principles and Practice

Forecasting is required in many situations. Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Examples use R with many data sets taken from the authors' own consulting experience.

Audience
adult
Length
medium · 292 pages

Click a tag to see books like this one that share it. Point at it (on a phone, tap it) for less of it instead.

Read it? Sign in to help tag it.

Liked Forecasting: Principles and Practice? Here’s where I’d start.

These suit anyone who liked Forecasting: Principles and Practice. Sign in and mark a few books for picks shaped around your own taste.

  1. R Packages Shares data science, statistics, programming
  2. ggplot2: Elegant Graphics for Data Analysis Shares data science, statistics, programming
  3. Practical Statistics for Data Scientists: 50 Essential Concepts Shares data science, statistics, technical
  4. Introductory Statistics with R Shares statistics, data science, programming

“If you want more of the same (science), start with these.”

  1. Principles of Forecasting: A Handbook for Researchers and Practitioners
  2. How Economics Shapes Science
  3. Game Theory. Analysis of conflict
  4. Schaum's Outlines of Beginning Chemistry

“If it was the data science that hooked you, try one of these.”

  1. R for Everyone: Advanced Analytics and Graphics
  2. Think Stats
  3. Applied Predictive Modeling
  4. Discovering Statistics Using R

“These start from a similar idea, even if they go somewhere else with it.”

  1. Demand-driven forecasting
  2. Superforecasting: The Art and Science of Prediction
  3. Forecasting, time series, and regression
  4. Best Practices for Equity Research Analysts: Essentials for Buy-Side and Sell-Side Analysts