code: def bofinger(n, q):
      num = 9.0 / 2 * norm.pdf(2 * norm.ppf(q)) ** 4
      den = (2 * norm.ppf(q) ** 2 + 1) ** 2
      h = n ** (-1.0 / 5) * (num / den) ** (1.0 / 5)
      return h
  
imports: import numpy
  import warnings
  import scipy.stats
  from numpy.linalg import pinv
  from scipy.stats import norm
  from statsmodels.tools.decorators import cache_readonly
  from statsmodels.regression.linear_model import RegressionModel, RegressionResults, RegressionResultsWrapper
  from statsmodels.tools.sm_exceptions import ConvergenceWarning, IterationLimitWarning
label_desc: Use image node_id 3 for calling a global function with example usage: bofinger(n, q) and returns: h