| // Copyright ©2015 The gonum Authors. All rights reserved. |
| // Use of this source code is governed by a BSD-style |
| // license that can be found in the LICENSE file. |
| |
| package distuv |
| |
| import ( |
| "sort" |
| "testing" |
| ) |
| |
| func TestLognormal(t *testing.T) { |
| for i, dist := range []LogNormal{ |
| { |
| Mu: 0.1, |
| Sigma: 0.3, |
| }, |
| { |
| Mu: 0.01, |
| Sigma: 0.01, |
| }, |
| { |
| Mu: 2, |
| Sigma: 0.01, |
| }, |
| } { |
| f := dist |
| tol := 1e-2 |
| const n = 1e5 |
| x := make([]float64, n) |
| generateSamples(x, f) |
| sort.Float64s(x) |
| |
| checkMean(t, i, x, f, tol) |
| checkVarAndStd(t, i, x, f, tol) |
| checkEntropy(t, i, x, f, tol) |
| checkExKurtosis(t, i, x, f, 2e-1) |
| checkSkewness(t, i, x, f, 5e-2) |
| checkMedian(t, i, x, f, tol) |
| checkQuantileCDFSurvival(t, i, x, f, tol) |
| checkProbContinuous(t, i, x, f, 1e-10) |
| checkProbQuantContinuous(t, i, x, f, tol) |
| } |
| } |
