Welcome to the advanced statistics methods documentation! 📊 This guide explores sophisticated analytical techniques used in data science and research. Let's dive into the key concepts:

1. Core Techniques

  • Regression Analysis
    A fundamental method for modeling relationships between variables.

    regression_analysis
  • Hypothesis Testing
    Used to validate assumptions about population parameters.

    hypothesis_testing
  • Time Series Analysis
    Focuses on data points collected over time to identify trends.

    time_series_analysis

2. Applications

  • Predictive modeling in finance 🔮
  • Experimental design in scientific research 🧪
  • Anomaly detection in system monitoring ⚠️

For deeper insights, check out our Introduction to Statistics guide.
Explore tools like Statistical Software to apply these methods practically.