Package jmt.common.exception

Examples of jmt.common.exception.IncorrectDistributionParameterException


      } else {
        return pdf[k];
      }
      //end NEW
    } else {
      throw new IncorrectDistributionParameterException(
          "Remember: all the probability value given must be gtz and the sum of all the value must be 1.0");
    }
  }
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      if (k >= cdf.length - 1) {
        return 1.0;
      }
      return cdf[k];
    } else {
      throw new IncorrectDistributionParameterException("Remember: all the probability"
          + " value given must be greater than zero and the sum of all the values must be 1.0");
    }
  }
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      for (int ptn = 0; ptn < pdf.length; ptn++) {
        mean += pdf[ptn] * ptn;
      }
      return mean;
    } else {
      throw new IncorrectDistributionParameterException(
          "Remember: all the probability value given must be gtz and the sum of all the value must be 1.0");
    }
  }
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        variance += (((ptn - mean) * (ptn - mean)) * pdf[ptn]);
        //end NEW
      }
      return variance;
    } else {
      throw new IncorrectDistributionParameterException("Remember: "
          + "all the probability value given must be greater than zero and the sum of all the values must be 1.0");
    }
  }
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        }
      }
      // after this binary search, nabove is always nbelow+1 and they straddle rand:
      return nbelow;
    } else {
      throw new IncorrectDistributionParameterException("Remember: "
          + "all the probability value given must be greater than zero and the sum of all the values must be 1.0");
    }
  }
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        return 0.0;
      } else {
        return 1.0;
      }
    } else {
      throw new IncorrectDistributionParameterException("parameter t must be >0");
    }
  }
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        return 0.0;
      } else {
        return 1.0;
      }
    } else {
      throw new IncorrectDistributionParameterException("parameter t must be >0");
    }
  }
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    if (p.check()) {
      //OLD
      //return p.getT();
      return ((ConstantDistrPar) p).getParameterValue();
    } else {
      throw new IncorrectDistributionParameterException("parameter t must be >0");
    }
  }
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  //public double theorVariance(ConstantDistrPar p)
  public double theorVariance(Parameter p) throws IncorrectDistributionParameterException {
    if (p.check()) {
      return 0;
    } else {
      throw new IncorrectDistributionParameterException("parameter t must be >0");
    }
  }
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  public double nextRand(Parameter p) throws IncorrectDistributionParameterException {
    if (p.check()) {
      double t = ((ConstantDistrPar) p).getParameterValue();
      return t;
    } else {
      throw new IncorrectDistributionParameterException("parameter t must be >0");
    }
  }
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