def testParameterEstimation(self):
mu, alpha, beta = -0.04, 2.11, 1.90
data = [-1.1712, -2.5608, -0.7143, 2.6218, -2.0655, 0.7544, 1.208, -0.5289, 0.0045, 1.1746,
-1.0766, 1.1198, 1.2785, -0.6051, 2.2913, -3.6672, -0.2525, 0.8782, -0.0617, -0.0239]
pdf = GeneralizedNormal(1, 1, 1)
pdf.estimate(data)
self.assertAlmostEqual(pdf.mu, mu, places=2)
self.assertAlmostEqual(pdf.alpha, alpha, places=2)
self.assertAlmostEqual(pdf.beta, beta, places=1)
def testParameterEstimation(self):
mu, alpha, beta = -0.04, 2.11, 1.90
data = [
-1.1712, -2.5608, -0.7143, 2.6218, -2.0655, 0.7544, 1.208, -0.5289,
0.0045, 1.1746, -1.0766, 1.1198, 1.2785, -0.6051, 2.2913, -3.6672,
-0.2525, 0.8782, -0.0617, -0.0239
]
pdf = GeneralizedNormal(1, 1, 1)
pdf.estimate(data)
self.assertAlmostEqual(pdf.mu, mu, places=2)
self.assertAlmostEqual(pdf.alpha, alpha, places=2)
self.assertAlmostEqual(pdf.beta, beta, places=1)
