/// <summary>Initializes a new instance of the <see cref="ShiftedLogNormalDistribution"/> class.
/// </summary>
/// <param name="mu">The parameter \mu.</param>
/// <param name="sigma">The parameter \sigma.</param>
/// <param name="shift">The (non-negative) shift parameter of the shifted Log-Normal distribution.</param>
/// <param name="infoOutputAction">A delegate called if specific data should be stored in <see cref="FillInfoOutput(InfoOutput, string)"/>; perhaps <c>null</c>.</param>
/// <exception cref="ArgumentOutOfRangeException">Thrown, if one of the arguments is not valid.</exception>
internal protected ShiftedLogNormalDistribution(double mu, double sigma, double shift, Action <InfoOutput, string> infoOutputAction)
{
m_InfoOutputAction = infoOutputAction;
if (sigma <= 0)
{
throw new ArgumentOutOfRangeException(nameof(sigma), String.Format(ExceptionMessages.ArgumentOutOfRange, sigma));
}
Sigma = sigma;
if (Double.IsNaN(mu))
{
throw new ArgumentOutOfRangeException(nameof(mu), String.Format(ExceptionMessages.ArgumentIsNaN, mu));
}
Mu = mu;
if (shift < 0)
{
throw new ArgumentOutOfRangeException(nameof(shift), String.Format(ExceptionMessages.ArgumentOutOfRangeGreaterEqual, nameof(shift), 0.0));
}
Shift = shift;
LongName = new IdentifierString(String.Format("Shifted LogNormal distribution LN({0}, {1}, {2})", Mu, Sigma * Sigma, shift));
Name = new IdentifierString(String.Format("LN({0}, {1}, {2})", Mu, Sigma * Sigma, shift));
Moment = new MomentCalculator(this);
Median = m_ExpOfMu = Math.Exp(mu);
}
/// <summary>Initializes a new instance of the <see cref="ExponentialDistribution" /> class.
/// </summary>
/// <param name="lambda">The value of parameter \lambda.</param>
/// <param name="infoOutputAction">A delegate called if specific data should be stored in <see cref="FillInfoOutput(InfoOutput, string)"/>; perhaps <c>null</c>.</param>
/// <exception cref="ArgumentException">Thrown, if <paramref name="lambda"/> is negative or <c>0.0</c>.</exception>
internal protected ExponentialDistribution(double lambda, Action <InfoOutput, string> infoOutputAction)
{
m_InfoOutputAction = infoOutputAction;
if (lambda <= 0)
{
throw new ArgumentException("lambda");
}
Beta = 1.0 / lambda;
Lambda = lambda;
Moment = new MomentCalculator(this);
Name = new IdentifierString(String.Format("Exp({0})", lambda));
LongName = new IdentifierString(String.Format("Exponential distribution; lambda = {0}", lambda));
}
/// <summary>Initializes a new instance of the <see cref="NormalDistribution"/> class.
/// </summary>
/// <param name="mu">The mean.</param>
/// <param name="sigma">The standard deviation.</param>
/// <param name="infoOutputAction">A delegate called if specific data should be stored in <see cref="FillInfoOutput(InfoOutput, string)"/>; perhaps <c>null</c>.</param>
/// <exception cref="ArgumentOutOfRangeException">Thrown, if one of the arguments is not valid.</exception>
internal protected NormalDistribution(double mu, double sigma, Action <InfoOutput, string> infoOutputAction)
{
m_InfoOutputAction = infoOutputAction;
if (sigma <= 0)
{
throw new ArgumentOutOfRangeException("sigma", String.Format(ExceptionMessages.ArgumentOutOfRange, sigma));
}
Sigma = sigma;
if (Double.IsNaN(mu))
{
throw new ArgumentOutOfRangeException("mu", String.Format(ExceptionMessages.ArgumentIsNaN, mu));
}
Mu = mu;
LongName = new IdentifierString(String.Format("Normal distribution N({0}, {1})", Mu, Sigma * Sigma));
Name = new IdentifierString(String.Format("N({0}, {1})", Mu, Sigma * Sigma));
Moment = new MomentCalculator(this);
}
/// <summary>Initializes a new instance of the <see cref="StandardNormalDistribution"/> class.
/// </summary>
public StandardNormalDistribution()
{
LongName = new IdentifierString("Standard Normal distribution N(0,1)");
Name = new IdentifierString("N(0,1)");
Moment = new MomentCalculator();
}
