Robust Statistics Theory and Methods

This repository contains Python implementations of tables and figures from the reference textbook !Robust Statistics Theory and Methods!. The goal is to provide reproducible, executable code for visualizations and results presented in the book.
Implementation is shared for learning purposes only.

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Structure

The repository is organized by chapter:

• chapter_1.py
• chapter_2.py
• chapter_3.py
• ...

Each file corresponds to a chapter and contains functions that generate specific tables or figures.

Naming Convention

• Functions are named according to the book’s structure:
  • figure_<chapter>_<number>()
  • table_<chapter>_<number>()

Example:

def figure_3_1():
    ...

def figure_3_2():
    ...

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Usage

Each chapter file is executable as a standalone script. To run a specific figure or table, you need to manually select the function inside the file.

Example:

if __name__ == '__main__':
    figure_3_1()

Run from the command line:

python chapter_3.py

You can modify the main block to call any function you want to generate.

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Example

import numpy as np
from scipy.stats import norm
import matplotlib.pyplot as plt
from rstm import madn, mdn, iqr
from rstm.estimators import Huber, Bisquare, TrimmedMean, Category

def figure_3_1():
    # implementation here
    ...

if __name__ == '__main__':
    figure_3_1()

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Contributing

Reach out to mmmarouen

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License

LICENSE