Estimating Probability Density Function of Vehicle-Related Time Series Data using Histogram Cubic B-Spline Approximation
利用直方图与三次 B 样条估计车辆时间序列的概率密度
Random processes play a crucial role in scientific research, often characterized by distribution functions or probability density functions (PDFs). These PDFs serve as essential approximations of the actual and frequently undisclosed distribution governing the random process under examination. Diverse methodologies exist for estimating PDFs, each offering distinct advantages in specific contexts. This publication presents a novel approach that centers on estimating…