得到不同的答案 r matlab linear-regression glm % A set of car weights\ weight = [0.17. 0.27, 0.44, 0.56, 0.65, 0.79, 0.98, 1.25, 1.56, 2.1, 2.42, 3.02, 3.6, 4.02]'; % The number of cars tested at each weight\ tested = [45 45 45 45 45 45 45 45 45 45 45 45 45 45]'; ...
32374ee000-3237500000 rwxp 32374ee000 00:00 0 3239600000-3239609000 r-xp 00000000 fd:00 557404 /lib64/libcrypt-2.5.so 3239609000-3239808000 ---p 00009000 fd:00 557404 /lib64/libcrypt-2.5.so 3239808000-3239809000 r-xp 00008000 fd:00 557404 /lib64/libcrypt-2.5.so 3239809000-323980a000 rw...
But, according to some studies [e.g. 2,3 and 4], the dispersion parameter needs to be counted among estimated parameters in computing the model criteria in GLMs that use those distributions. [1] MATLAB Version: 9.7.0.1261785 (R2019b) Update 3. [2] Clifford M. Hurvich, Chih-Ling Tsai...
plot(b_standard(1),b_standard(2),'r*') plot(b_jeff(1),b_jeff(2),'k*')This is good because instead of obtaining divergent coefficients we obtain finite coefficients which are shifted towards the origin.My questions are related to what is going...
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