def moments(self):
"""The first two time delay weighted statistical moments of the
MA coefficients."""
moment1 = statstools.calc_mean_time(self.delays, self.coefs)
moment2 = statstools.calc_mean_time_deviation(self.delays, self.coefs,
moment1)
return numpy.array([moment1, moment2])
def moments(self) -> Tuple[float, float]:
"""The first two time delay weighted statistical moments of the MA
coefficients."""
moment1 = statstools.calc_mean_time(self.delays, self.coefs)
moment2 = statstools.calc_mean_time_deviation(self.delays, self.coefs,
moment1)
return moment1, moment2
def moments(self):
"""The first two time delay weighted statistical moments of the
instantaneous unit hydrograph."""
delays, response = self.delay_response_series
moment1 = statstools.calc_mean_time(delays, response)
moment2 = statstools.calc_mean_time_deviation(delays, response,
moment1)
return numpy.array([moment1, moment2])
def moments(self):
"""The first two time delay weighted statistical moments of the
ARMA response."""
timepoints = self.ma.delays
response = self.response
moment1 = statstools.calc_mean_time(timepoints, response)
moment2 = statstools.calc_mean_time_deviation(timepoints, response,
moment1)
return numpy.array([moment1, moment2])
def moments(self) -> Tuple[float, float]:
"""The first two time delay weighted statistical moments of the ARMA
response."""
timepoints = self.ma.delays
response = self.response
moment1 = statstools.calc_mean_time(timepoints, response)
moment2 = statstools.calc_mean_time_deviation(timepoints, response,
moment1)
return moment1, moment2
def moment1(self) -> float:
"""The first time delay weighted statistical moment of the instantaneous unit
hydrograph."""
delays, response = self.delay_response_series
return statstools.calc_mean_time(delays, response)