Quantitative Methods

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Quantitative Methods

• Models, parameters and GLMs

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Models, parameters and GLMs
Models
Y ? ?
Unknown quantities we would like to know, in
Greek Known quantities that are estimates of
them, in Latin
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Models, parameters and GLMs
General Linear Model
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Models, parameters and GLMs
Aliassing
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Models, parameters and GLMs
Aliassing
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Models, parameters and GLMs
Aliassing
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Models, parameters and GLMs
Aliassing
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Models, parameters and GLMs
GLMs in Minitab
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Models, parameters and GLMs
Logic of statistical inference
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Models, parameters and GLMs
Logic of statistical inference
inferred ?1
observed a1
possible a1
true ?1
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Models, parameters and GLMs
Logic of statistical inference
inferred ?1
observed a1
possible a1
true ?1
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Models, parameters and GLMs
Logic of statistical inference
inferred ?1
observed a1
possible a1
true ?1
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Models, parameters and GLMs
Logic of statistical inference
inferred ?1
observed a1
possible a1
true ?1
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Models, parameters and GLMs
Logic of statistical inference
inferred ?1
observed a1
possible a1
true ?1
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Models, parameters and GLMs
Simulations in Minitab
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Models, parameters and GLMs
Simulations in Minitab
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Models, parameters and GLMs
Simulations in Minitab
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Models, parameters and GLMs
Simulations in Minitab
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Models, parameters and GLMs
Simulations in Minitab
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Models, parameters and GLMs
Simulations in Minitab
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Models, parameters and GLMs
Simulations in Minitab
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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