statsmodels.stats.rates.PowerEquivalenceResult#

class statsmodels.stats.rates.PowerEquivalenceResult(*, power, std_alt, nobs_1, nobs_2, nobs_ratio, alpha, power_margins, std_null_low, std_null_upp)[source]#

Result of power_equivalence_poisson_2indep and power_equivalence_neginb_2indep.

Extends PowerResult with power_margins, std_null_low and std_null_upp.

Parameters:

powerfloat: Power of the equivalence test.
power_marginsndarray: Power contributions from the lower and upper equivalence margins.
std_null_lowfloat: Standard error of the test statistic under the null hypothesis at the lower equivalence margin.
std_null_uppfloat: Standard error of the test statistic under the null hypothesis at the upper equivalence margin.
std_altfloat: Standard error of the test statistic under the alternative hypothesis.
nobs_1float or int: Number of observations in sample 1.
nobs_2float or int: Number of observations in sample 2.
nobs_ratiofloat: Sample size ratio, nobs_2 = nobs_ratio * nobs_1.
alphafloat: Significance level used for the power computation.

Attributes:

alpha
nobs_1
nobs_2
nobs_ratio
power
power_margins
std_alt
std_null_low
std_null_upp

`power_margins`
`std_null_low`
`std_null_upp`
`alpha`
`nobs_1`
`nobs_2`
`nobs_ratio`
`power`
`std_alt`