trend, h, p, z, Tau, s, var_s, slope, intercept = mk.original_test(data) 输出的内容解释: 输出包含了Theil-Sen Median斜率估计和Mann-Kendall检验的内容。 也可以自定义函数: from __future__ import division import numpy as np import pandas as pd from scipy import stats from scipy.stats im...
trend, h, p, z, Tau, s, var_s, slope, intercept = mk.original_test(data) 输出的内容解释: 输出包含了Theil-Sen Median斜率估计和Mann-Kendall检验的内容。 也可以自定义函数: from __future__ import division import numpy as np import pandas as pd from scipy import stats from scipy.stats im...
regression analysisnonparametric regressionsimple linear regressionrobust regressiontrend detectionTheil-Sen estimatorasymmetric outliers distributionOne of the most widely used robust regression methods for solving simple linear regression problems is the Theil-Sen (TS) estimator. This estimator ...
In addition to finding the median slope, you’ll also want to create aconfidence intervalfor that slope. By hand, confidence intervals can be somewhat cumbersome; they become more challenging to calculate fornon-normal distributions(which is what is involved with Theil-Sen estimators) and whenhomo...
trend, h, p, z, Tau, s, var_s, slope, intercept = mk.original_test(data) 输出的内容解释: 输出包含了Theil-Sen Median斜率估计和Mann-Kendall检验的内容。 也可以自定义函数: from __future__ import division import numpy as np import pandas as pd ...