#!/usr/bin/env python import gaussmix as gm n=1000 #plot i x1= gm.mix_2gauss(n,0,0,1,36,.95) gm.histogram_plot(x1,200,'fig1.png') #plot ii x2= gm.mix_2gauss(n,0,3,1,1,.80) #gm.histogram_plot(x2,80,'fig2.png') #plot iii x3= gm.lognormal(0,1,n) #gm.histogram_plot(x3,100,'fig3.png') #plot iii
#!/usr/bin/env python import gaussmix as gm import numpy as np from scipy import stats import steamleaf as stl n=30 ''' #plot i x1= gm.mix_2gauss(n,0,0,1,36,.95) gm.histogram_plot(x1,200,'fig1.png') #plot ii x2= gm.mix_2gauss(n,0,3,1,1,.80) #gm.histogram_plot(x2,80,'fig2.png') #plot iii x3= gm.lognormal(0,1,n) #gm.histogram_plot(x3,100,'fig3.png') ''' # Problem 4.11 data = np.array( [ 97.0,97.2,97.3,97.6,97.6,97.7,97.9,98.2,98.2,98.4,
