Computational statistics is a branch of statistics that focuses on the development and application of statistical methods using computational tools. It emphasizes the use of information science to create new statistical methods. The field has evolved with the advent of affordable computer hardware, enabling scientists and engineers to handle large and high-dimensional data sets. Traditional statistics often involves designing studies first and then collecting data, whereas computational statistics often involves collecting data first and then analyzing it. This approach is particularly useful when dealing with large data sets, as traditional statistical tools may not be sufficient. The book discusses various computational statistical techniques, including non-parametric functional estimation, parallel coordinates for high-dimensional data representation, and data sets. It also introduces MATLAB as a computational tool for statistical analysis. MATLAB is a high-level language and interactive environment for numerical computation, visualization, and programming. It provides a wide range of functions for data analysis, including descriptive statistics. The book covers basic MATLAB syntax, array creation, and functions for calculating descriptive statistics. It also discusses how to plot data and calculate descriptive statistics using MATLAB. The book also references several studies and papers that highlight the importance of computational statistics in various fields.Computational statistics is a branch of statistics that focuses on the development and application of statistical methods using computational tools. It emphasizes the use of information science to create new statistical methods. The field has evolved with the advent of affordable computer hardware, enabling scientists and engineers to handle large and high-dimensional data sets. Traditional statistics often involves designing studies first and then collecting data, whereas computational statistics often involves collecting data first and then analyzing it. This approach is particularly useful when dealing with large data sets, as traditional statistical tools may not be sufficient. The book discusses various computational statistical techniques, including non-parametric functional estimation, parallel coordinates for high-dimensional data representation, and data sets. It also introduces MATLAB as a computational tool for statistical analysis. MATLAB is a high-level language and interactive environment for numerical computation, visualization, and programming. It provides a wide range of functions for data analysis, including descriptive statistics. The book covers basic MATLAB syntax, array creation, and functions for calculating descriptive statistics. It also discusses how to plot data and calculate descriptive statistics using MATLAB. The book also references several studies and papers that highlight the importance of computational statistics in various fields.