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Quantitative Methods

Quantitative Methods. Models, parameters and GLMs. Models, parameters and GLMs. Models. Y =  + . Unknown quantities we would like to know, in Greek Known quantities that are estimates of them, in Latin. Models, parameters and GLMs. General Linear Model. Models, parameters and GLMs.

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Quantitative Methods

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  1. Quantitative Methods Models, parameters and GLMs

  2. Models, parameters and GLMs Models Y =  +  Unknown quantities we would like to know, in Greek Known quantities that are estimates of them, in Latin

  3. Models, parameters and GLMs General Linear Model

  4. Models, parameters and GLMs Aliassing

  5. Models, parameters and GLMs Aliassing

  6. Models, parameters and GLMs Aliassing

  7. Models, parameters and GLMs Aliassing

  8. √ Models, parameters and GLMs GLMs in Minitab

  9. God’s view: , 1, 2 are known, and y, a1, a2 are unpredictable Our view: y, a1, a2 are known, and we need to guess , 1, 2 Models, parameters and GLMs Logic of statistical inference

  10. Models, parameters and GLMs Logic of statistical inference inferred 1 observed a1 possible a1 true 1

  11. Models, parameters and GLMs Logic of statistical inference inferred 1 observed a1 possible a1 true 1

  12. Models, parameters and GLMs Logic of statistical inference inferred 1 observed a1 possible a1 true 1

  13. Models, parameters and GLMs Logic of statistical inference inferred 1 observed a1 possible a1 true 1

  14. Models, parameters and GLMs Logic of statistical inference inferred 1 observed a1 possible a1 true 1

  15. Models, parameters and GLMs Simulations in Minitab

  16. Models, parameters and GLMs Simulations in Minitab

  17. Models, parameters and GLMs Simulations in Minitab

  18. Models, parameters and GLMs Simulations in Minitab

  19. √ Models, parameters and GLMs Simulations in Minitab

  20. Models, parameters and GLMs Simulations in Minitab

  21. Models, parameters and GLMs Simulations in Minitab

  22. Models, parameters and GLMs Last words… • GLMs unite ANOVA (categorical X) and regression (continuous X), and use model formulae • ‘Parameter’ and ‘estimate’ are central ideas • Enjoy playing God for once, and knowing all the answers Next week: Using more than one explanatory variable Read Chapter 4

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