Simulating imprecise data: sine–cosine and convolution methods with neutrosophic normal distribution

Aslam, Muhammad

doi:10.1186/s40537-023-00822-4

Journal of Big Data

Table 5 Standard normal variate from convolution method

From: Simulating imprecise data: sine–cosine and convolution methods with neutrosophic normal distribution

Sr#	\({I}_{N}\)=0	\({I}_{N}\)=0.01	\({I}_{N}\)=0.02	\({I}_{N}\)=0.03	\({I}_{N}\)=0.05	\({I}_{N}\)=0.10
1	[−1.34,-1.34]	[-0.86,−0.81]	[−0.93,−0.83]	[1.91,2.15]	[−1.04,−0.79]	[−0.31,0.26]
2	[0.65,0.65]	[−0.98,−0.93]	[−0.36,−0.24]	[1.02,1.23]	[0.24,0.55]	[1.1,1.81]
3	[−0.63,−0.63]	[−0.3,−0.24]	[−1.64,−1.56]	[1.49,1.72]	[1.04,1.39]	[−1.16,−0.68]
4	[0.18,0.18]	[−0.07,−0.01]	[−2.26,−2.18]	[1.04,1.25]	[−0.34,−0.06]	[−1.07,−0.58]
5	[1.18,1.18]	[0.56,0.63]	[−0.06,0.05]	[1.08,1.29]	[−2.28,−2.1]	[−0.43,0.12]
6	[−0.44,−0.44]	[−1.16,−1.11]	[0.81,0.95]	[−0.39,−0.22]	[−0.57,−0.29]	[−0.09,0.5]
7	[0.62,0.62]	[−0.7,−0.64]	[−0.48,−0.37]	[−0.05,0.13]	[0.15,0.46]	[0.4,1.04]
8	[−0.01,−0.01]	[−0.23,−0.18]	[−1.14,−1.04]	[−0.5,−0.34]	[−1.21,−0.97]	[−0.41,0.15]
9	[−0.8,−0.8]	[0.33,0.39]	[0.51,0.64]	[−0.69,−0.53]	[0.92,1.27]	[−0.82,−0.3]
10	[1.29,1.29]	[−0.74,−0.69]	[−0.05,0.07]	[−0.13,0.05]	[−0.73,−0.47]	[−0.2,0.38]
11	[−0.58,−0.58]	[0.81,0.88]	[3.03,3.21]	[−2.44,−2.33]	[−0.36,−0.08]	[−1.64,−1.2]
12	[0.86,0.86]	[−0.5,−0.44]	[0.14,0.26]	[−2.1,−1.98]	[−0.14,0.15]	[1.63,2.39]
13	[0.48,0.48]	[−0.34,−0.28]	[0.36,0.49]	[0.37,0.56]	[1.07,1.43]	[0.39,1.03]
14	[0.42,0.42]	[1.67,1.74]	[1.38,1.53]	[0.22,0.41]	[−0.85,−0.59]	[0.3,0.93]
15	[0.08,0.08]	[0.26,0.32]	[0.66,0.79]	[−0.42,−0.25]	[−0.26,0.03]	[−0.34,0.23]
16	[−1.48,−1.48]	[−2.13,−2.09]	[0.92,1.06]	[0.54,0.73]	[−1.74,−1.53]	[0.18,0.8]
17	[0.15,0.15]	[0.82,0.89]	[−1.31,−1.22]	[1.42,1.64]	[−0.37,−0.09]	[−1.57,−1.13]
18	[0.33,0.33]	[−0.18,−0.13]	[−0.58,−0.47]	[1.5,1.72]	[0.51,0.84]	[0.93,1.63]
19	[0.02,0.02]	[0.89,0.96]	[0.63,0.76]	[−0.99,−0.84]	[1,1.35]	[−1.94,−1.53]
20	[−0.82,−0.82]	[0.35,0.42]	[−0.06,0.06]	[−1.45,−1.31]	[0.28,0.59]	[−0.56,−0.02]
21	[0.87,0.87]	[−1,−0.95]	[0.3,0.43]	[−0.43,−0.26]	[0.03,0.33]	[0.72,1.39]
22	[0.92,0.92]	[−1.18,−1.14]	[0.99,1.13]	[−0.8,−0.65]	[0.1,0.4]	[−1.23,−0.75]
23	[−0.65,−0.65]	[0.77,0.83]	[1.05,1.19]	[−0.37,−0.2]	[−0.61,−0.34]	[−0.76,−0.23]
24	[−2.31,−2.31]	[−0.82,−0.77]	[0.96,1.1]	[0.61,0.8]	[1.01,1.36]	[−0.92,−0.41]
25	[0.75,0.75]	[−0.59,−0.54]	[−0.4,−0.29]	[−0.44,−0.27]	[−0.24,0.05]	[−0.02,0.58]

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