📅 2023-10-19 — Session: Explored Proportional Effect and Log Transformations
🕒 19:20–20:45
🏷️ Labels: Proportional Effect, Logarithmic Transformations, Pareto Distribution, Economic Systems, Statistical Modeling
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to explore the proportional effect mechanism in distributions and the application of logarithmic transformations in data analysis.
Key Activities
- Proportional Effect Mechanism: Examined its relationship with lognormal and Pareto distributions, and its role in modeling real-world phenomena.
- Logarithmic Transformations: Analyzed the use of logarithmic transformations in handling data with proportional behavior, focusing on zero levels and deviations.
- PhD Thesis Analysis: Investigated the transformation of variables within a PhD thesis context, addressing implications and concerns.
- Challenges with Transformations: Discussed issues near critical points in logarithmic transformations and suggested alternative methods.
- Economic Implications: Linked the proportional effect mechanism to economic systems and explored convolution in firm value distributions.
Achievements
- Clarified the role of the proportional effect mechanism in statistical modeling.
- Gained insights into the application of logarithmic transformations in data analysis.
- Identified challenges and potential alternatives for transformations near critical points.
Pending Tasks
- Further exploration of alternative transformations for critical point issues.
- Deep dive into economic implications of these statistical methods.