Create a data file in two ways, entering the data as (i) ungrouped data: 12 individual binary observations, (ii) grouped data: three summary binomial observations each with sample size = 4. The saturated model has 12 parameters for data file (i) but three parameters for data file (ii). Please see image for the data

MATLAB: An Introduction with Applications
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Denote by M0 the logistic model with only an intercept term and by M1 the model that also has x as a linear predictor. Denote the maximized log likelihood values by L0 for M0, L1 for M1, and Ls for the saturated model. Recall that G2 (Mi ) = −2(Li − Ls ), i = 0, 1.

 

Create a data file in two ways, entering the data as (i) ungrouped data: 12 individual binary observations, (ii) grouped data: three summary binomial observations each with sample size = 4. The saturated model has 12 parameters for data file (i) but three parameters for data file (ii).

Please see image for the data 

5.14 Refer to the following artificial data:
X Number of trials Number of successes
0
1
1
2
+++
4
4
4
24
4
Transcribed Image Text:5.14 Refer to the following artificial data: X Number of trials Number of successes 0 1 1 2 +++ 4 4 4 24 4
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