Bootstrap replicates बनाना

Statistical Thinking in Python (Part 2)

Justin Bois

Lecturer at the California Institute of Technology

Michelson की प्रकाश की गति मापें

ch2-1.002.png

1 Data: Michelson, 1880
Statistical Thinking in Python (Part 2)

Array का resampling

ch2-1.004.png

Statistical Thinking in Python (Part 2)

Array का resampling

ch2-1.005.png

Statistical Thinking in Python (Part 2)

Array का resampling

ch2-1.006.png

Statistical Thinking in Python (Part 2)

Array का resampling

ch2-1.007.png

Statistical Thinking in Python (Part 2)

Array का resampling

ch2-1.008.png

Statistical Thinking in Python (Part 2)

Array का resampling

ch2-1.009.png

Statistical Thinking in Python (Part 2)

Array का resampling

ch2-1.010.png

Statistical Thinking in Python (Part 2)

Resampled Michelson माप का mean

ch2-1.011.png

Statistical Thinking in Python (Part 2)

Bootstrapping

  • सांख्यिकीय निष्कर्ष के लिए resampled डेटा का उपयोग
Statistical Thinking in Python (Part 2)

Bootstrap sample

  • डेटा का resampled array
Statistical Thinking in Python (Part 2)

Bootstrap replicate

  • resampled array से निकला एक statistic
Statistical Thinking in Python (Part 2)

Resampling इंजन: np.random.choice()

import numpy as np
np.random.choice([1,2,3,4,5], size=5)
array([5, 3, 5, 5, 2])
Statistical Thinking in Python (Part 2)

Bootstrap replicate गणना

bs_sample = np.random.choice(michelson_speed_of_light,
                             size=100)

np.mean(bs_sample)
299847.79999999999
np.median(bs_sample)
299845.0
np.std(bs_sample)
83.564286025729331
Statistical Thinking in Python (Part 2)

अभ्यास करते हैं!

Statistical Thinking in Python (Part 2)

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