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Quantitative Methods

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Models, parameters and GLMs. Logic of statistical inference ... Models, parameters and GLMs. true. 1 possible a1. observed a1. inferred ... – PowerPoint PPT presentation

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Title: Quantitative Methods


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
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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