Objective

The existing post hoc tests under classical statistics have been applied for analyzing the data having all determined, precise and exact observations. In practice, the data recorded from the complex situations or under uncertainty does not contain all determined observations in the data.

Method

In this case, the data is recorded in the indeterminacy interval and can be analyzed using neutrosophic statistics.

Results

In this paper, we will modify the existing least significant difference Test, Bonferroni Test and Scheffe Test under the neutrosophic statistics. We will present some basic modified tests under neutrosophic statistical interval method (NSIM) and explained them with the help of real data. We will compare the performance of the proposed tests with the existing tests under uncertainty environment.

Conclusion

The proposed post hoc tests are flexible and informative than the post hoc tests under classical statistics.

中文翻译：

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在中智统计下呈现事后多重比较测试

目的

经典统计下的现有事后检验已用于分析具有所有确定，精确和精确观察结果的数据。实际上，从复杂情况下或不确定情况下记录的数据并不包含数据中所有确定的观测值。

方法

在这种情况下，数据以不确定性间隔记录，并且可以使用中智统计进行分析。

结果

在本文中，我们将在中智统计基础上修改现有的最小显着性检验，Bonferroni检验和Scheffe检验。我们将介绍在中智统计间隔法（NSIM）下进行的一些基本修改测试，并借助真实数据进行解释。我们将在不确定性环境下将建议测试的性能与现有测试的性能进行比较。

结论

与经典统计下的事后测试相比，拟议的事后测试具有灵活性和信息性。