Probability Bounds Analysis for Python

• Intervals
  • Interval
    • Interval.__init__()
    • Interval.add()
    • Interval.padd()
    • Interval.oadd()
    • Interval.sub()
    • Interval.psub()
    • Interval.osub()
    • Interval.mul()
    • Interval.pmul()
    • Interval.omul()
    • Interval.div()
    • Interval.pdiv()
    • Interval.odiv()
    • Interval.recip()
    • Interval.equiv()
    • Interval.lo()
    • Interval.hi()
    • Interval.width()
    • Interval.halfwidth()
    • Interval.midpoint()
    • Interval.to_logical()
    • Interval.env()
    • Interval.straddles()
    • Interval.straddles_zero()
    • Interval.intersection()
    • Interval.exp()
    • Interval.log()
    • Interval.sqrt()
    • Interval.sample()
  • Plus-Minus Intervals
    • PM()
    • pm_repr()
    • lr_repr()
• Probability Boxes
  • Pbox
    • Pbox.__init__()
    • Pbox.add()
    • Pbox.env()
    • Pbox.get_x()
    • Pbox.get_y()
    • Pbox.hi()
    • Pbox.imp()
    • Pbox.lo()
    • Pbox.mean()
    • Pbox.median()
    • Pbox.min()
    • Pbox.pow()
    • Pbox.straddles()
    • Pbox.straddles_zero()
    • Pbox.truncate()
• Distributions
  • Distribution based p-boxes
  • beta()
  • lognorm()
  • lognormal()
• Non-parametric p-boxes
  • what_I_know()
  • box()
  • min_max()
  • min_max_mean()
  • min_max_mean_std()
  • min_max_mean_var()
  • min_max_mode()
  • min_max_median()
  • min_max_median_is_mode()
  • mean_std()
  • mean_var()
  • pos_mean_std()
  • symmetric_mean_std()
  • from_percentiles()
• Logical
  • Logical
    • Logical.__init__()
  • always()
  • is_same_as()
  • never()
  • sometimes()
  • xtimes()
• Confidence Boxes
  • Cbox
    • Cbox.__init__()
    • Cbox.add()
• Useful Functions
  • env()
  • envelope()
  • mean()
  • mul()
  • sqrt()
  • sum()
• Dependency Arithmetic