MathIsimple

Time Series Analysis

Browse focused sections below — each card opens a topic page (preface, preprocessing, decomposition) for step-by-step reading and practice.

🎯 Core Modules

Structured modules that guide you from decomposition to forecasting

Available!
📘
Beginner
Preface
Introduction to deterministic and stochastic components, trend definition, random term and mixed model overview.
Duration: 30-60 minutes
  • Deterministic vs Stochastic
  • Trend (T_t)
  • Random term (ε_t)
  • Additive & Multiplicative Models
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Available!
🧹
Beginner
Preprocessing
Missing values, smoothing, seasonal adjustment and stationarity transformations.
Duration: 30-60 minutes
  • Missing values
  • Moving average
  • Exponential smoothing
  • Seasonal indices
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Available!
🧩
Intermediate
Decomposition & Methods
STL, classical decomposition and practical extraction techniques.
Duration: 1-2 hours
  • STL
  • Classical decomposition
  • Centering moving average
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Practice Modules

Practice all time series modules — jump to module index to choose a topic.

Practice
Time Series Practice Modules
Module-level practice covering Preprocessing, Decomposition and Formula checks
Open the practice index to select a module and start exercises.