Esempio n. 1
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    def _f_statistic(
            self, params: Float64Array, cov: Float64Array,
            debiased: bool) -> Union[WaldTestStatistic, InvalidTestStatistic]:
        const_loc = find_constant(cast(Float64Array, self._exog.ndarray))
        resid_df = self._nobs - self._num_params

        return f_statistic(params, cov, debiased, resid_df, const_loc)
Esempio n. 2
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    def _f_statistic(self, params: ndarray, cov: ndarray, debiased: bool):
        const_loc = find_constant(self._exog.ndarray)
        resid_df = self._nobs - self._num_params

        return f_statistic(params, cov, debiased, resid_df, const_loc)
Esempio n. 3
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 def _f_statistic(
         self, params: NDArray, cov: NDArray,
         debiased: bool) -> Union[WaldTestStatistic, InvalidTestStatistic]:
     const_loc = find_constant(self._x)
     nobs, nvar = self._x.shape
     return f_statistic(params, cov, debiased, nobs - nvar, const_loc)
Esempio n. 4
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 def _f_statistic(self, params: ndarray, cov: ndarray, debiased: bool):
     const_loc = find_constant(self._x)
     nobs, nvar = self._x.shape
     return f_statistic(params, cov, debiased, nobs - nvar, const_loc)