July 2025
Beginner to intermediate
448 pages
15h 1m
English
Content preview from Statistics Every Programmer Needs
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7 Fitting time series models
This chapter covers
- Time series components and analysis
- ARIMA models
- Exponential smoothing models
- Model evaluation and diagnostics
- Forecasting
Transitioning from traditional models like linear and logistic regression and decision trees and random forests to time series analysis represents a shift from working with unordered data sets to analyzing sequential, time-ordered data where temporal patterns, such as trends and seasonality, may play a significant role. In many statistical methods, we often work with independent and identically distributed data, where predictions are made based on historical data without considering the order of the data points. However, in time series analysis, the temporal order of ...
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