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Lec . 38 – Data Through Time / Sequences: Series of (Unfortunate?) Events

Lec . 38 – Data Through Time / Sequences: Series of (Unfortunate?) Events. Needs for Understanding Series of Events. Example from GSA Bulletin, Aug. 1998. Testing for Randomness – the Poisson Distribution. Testing for Randomness – the Poisson Distribution.

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Lec . 38 – Data Through Time / Sequences: Series of (Unfortunate?) Events

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  1. Lec. 38 – Data Through Time / Sequences: Series of (Unfortunate?) Events

  2. Needs for Understanding Series of Events

  3. Example from GSA Bulletin, Aug. 1998

  4. Testing for Randomness – the Poisson Distribution

  5. Testing for Randomness – the Poisson Distribution

  6. Worked Example: Testing for Randomness – Poisson Distribution of Volcanic Activity Write an .m file, now, which: Compiles the frequency distribution of data binned into 3-m intervals Calculates the “expected” Poisson distribution, if process were random Conducts the c2 test with the appropriate null hypothesis.

  7. Step 1: Assemble the observed frequency distrib.

  8. Step 2. Calculate “expected” Poisson distribution

  9. Step 3. Conducts the c2 test with the appropriate null hypothesis

  10. Chi-Squared Test

  11. Testing for Trends

  12. Let’s program this! Worked Example: Testing for Trends

  13. Worked Example: Testing for Trends

  14. Testing for Uniformity

  15. Testing for Uniformity

  16. Worked Example: Testing for Uniformity

  17. Worked Example: Testing for Uniformity

  18. Caveat on Testing for Uniformity

  19. Testing for Patterns…

  20. Testing for Trends

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