Time Series Analysis for Data Scientists (Forgy)

by Charles Forgy

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This book is aimed at students who have a background in a quantitative discipline such as pure data science, physics, electrical engineering, or econometrics. The derivations generally assume at least two semesters of calculus and one semester of linear algebra as well as familiarity with the basics of probability and statistics. More advanced courses such as multi-variate calculus, Fourier analysis, and mathematical statistics are useful but not necessary.

Description from LibreTexts.

Publisher
University of Maryland
Subjects
Mathematics, Scientific Computing Simulations and Modeling
Licence
CC BY-NC-SA 4.0, as LibreTexts states it. Non-commercial use only.
Who can read
Tweens profiles and older, judged from its title and subjects