Minimum Kolmogorov–Smirnov test statistic parameter estimates
MD Weber, LM Leemis, RK Kincaid - Journal of Statistical …, 2006 - Taylor & Francis
MD Weber, LM Leemis, RK Kincaid
Journal of Statistical Computation and Simulation, 2006•Taylor & FrancisWe present and implement an algorithm for computing the parameter estimates in a
univariate probability model for a continuous random variable that minimizes the
Kolmogorov–Smirnov test statistic. The algorithm uses an evolutionary optimization
technique to solve for the estimates. Several simulation experiments demonstrate the
effectiveness of this approach.
univariate probability model for a continuous random variable that minimizes the
Kolmogorov–Smirnov test statistic. The algorithm uses an evolutionary optimization
technique to solve for the estimates. Several simulation experiments demonstrate the
effectiveness of this approach.
We present and implement an algorithm for computing the parameter estimates in a univariate probability model for a continuous random variable that minimizes the Kolmogorov–Smirnov test statistic. The algorithm uses an evolutionary optimization technique to solve for the estimates. Several simulation experiments demonstrate the effectiveness of this approach.
Taylor & Francis Online以上显示的是最相近的搜索结果。 查看全部搜索结果