首页NotImplementedError: Bivariate ECDF plots are not implemented

NotImplementedError: Bivariate ECDF plots are not implemented

时间: 2024-05-30 12:16:06 浏览: 137

Bivariate Gamma Distribution (CDF, PDF, samples)：Bivariate Gamma CDF and PDF (rho > 0) + Bivariate Gamma random generator-matlab开发

这个 zip 包含的功能允许 - 从任意二元 Gamma 分布中抽取随机样本，Gamma 分布边缘。用户应指定边缘的形状和比例参数，以及线性相关系数。该算法基于 Schmeiser, BW 和 Lal, R. (1982)，“Bivariate Gamma Random Vectors”，Operations Research，Vol。 30，第 2 期，第 355-374 页（通知） - 评估 <at> 一对正相关 Gamma 随机变量的联合 CDF 和 PDF，具有（用户指定的）形状和尺度参数以及线性相关系数 ( > 0 )。该代码基于 Smith、Adelfang 和 Tubbs (1982)：“适用于阵风模型的双变量 Gamma 概率分布”，NASA 技术备忘录 82483，美国国家航空航天局。

As an AI language model, I cannot see the code you are referring to or the context in which you encountered this error, but I can provide a general explanation of what the error message means. The error message "Bivariate ECDF plots are not implemented" indicates that the code you are running or the function you are trying to use is attempting to create a bivariate (two-dimensional) Empirical Cumulative Distribution Function (ECDF) plot, but this functionality has not been implemented or is not available in the current version of the software or library you are using. ECDF plots are commonly used in statistics and data analysis to visualize the distribution of a dataset. A bivariate ECDF plot would show the joint distribution of two variables, which can be useful for identifying patterns and relationships between them. If you encounter this error, you may need to look for an alternative method or library that supports bivariate ECDF plots or modify your code to use a different type of plot.

阅读全文