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非正态分布如何用BOX-COX来转换

请教:非正态分布如何用BOX-COX来转换,可否举个实例,
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huihaiha (威望:0)

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这里有个问题刚好是我想问的,
12V Ripple and noise at 264Vac
17.224
15.816
16.168
16.168
15.816
17.224
16.872
16.168
17.572
15.816
16.520
16.520
17.572
17.224
15.816
15.464
16.168
15.816
16.168
16.520
16.872
16.520
16.168
15.112
15.464
16.168
16.872
16.168
16.520
16.168
16.872
18.276
17.224
16.168
17.224
16.520
16.520
16.520
17.924
16.872
16.168
15.464
17.572
17.572
17.224
16.520
16.872
16.520
16.872
17.572
16.168
16.520
16.520
18.276
15.464
17.572
16.872
17.924
16.872
15.464
16.520
16.520
16.520
16.520
16.520
16.520
16.872
16.872
18.276
16.520
16.168
15.816
16.872
17.224
16.872
16.168
16.168
16.520
16.168
16.872
16.520
16.168
16.520
16.168
16.168
17.572
15.816
16.520
16.872
16.520
15.464
16.520
16.872
16.168
16.168
15.112
16.168
17.572
15.816
16.168
16.872
16.168
15.816
16.872
15.816
16.168
15.112
15.816
15.816
15.816
16.520
15.464
15.464
17.572
16.872
16.520
16.872
15.816
16.168
15.816
16.872
17.224
16.520
16.520
15.464
16.168
10.952
11.296
10.952
11.296
12.664
11.640
11.296
11.640
11.296
10.268
9.928
9.928
10.952
11.640
10.268
10.612
10.952
10.612
11.296
11.640
10.952
11.296
11.640
11.640
10.612
10.952
11.640
40.720
52.360
44.840
47.560
43.480
46.880
43.120
44.840
47.920
41.760
45.200
42.120
42.800
45.200
42.440
48.600
42.440
42.800
41.400
50.640
42.440
40.040
40.720
43.120
41.080
42.440
41.400
39.708
44.840
41.760
39.020
39.020
43.480
38.680
41.400
42.120
15.404
15.404
15.404
14.720
14.036
14.720
14.036
14.036
13.348
13.692
14.720
14.376
42.800
39.708
40.040
43.480
43.480
38.680
45.520
44.160
43.120
44.160
45.880
43.120
41.400
43.120
39.020
44.160
41.760
42.800
45.520
42.440
44.160
40.720
43.480
41.080
38.680
44.160
41.760
42.440
42.440
45.520
43.120
45.880
43.480
41.080
43.800
45.520
42.120
41.080
51.000
53.400
51.360
57.160
52.360
49.960
48.280
49.960
53.760
49.960

这是功能测试项目里的ripple,我们假定测量系统是OK的,这样的情况能不能转换成正态分布的数据,
如果不能转换我们需要做什么,
如果是非参数的数据(nonparametric)我们该怎么办,就可以考取不用监控这个参数吗,
在线等...

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