Statistical Mirroring Computer Application for Robust Dispersion Estimations
Description
The Statistical Mirroring Application is a powerful tool designed for analyzing and visualizing data through statistical mirroring methods. It offers a user-friendly interface for conducting in-depth statistical mirroring analysis, including proximity and deviation estimates of transformed data points from a defined location or reference estimates within a given distribution. Inspired by Kabirian-based isomorphic optinalysis, the application provides features for preprocessing data, designing statistical mirrors, optimizations and calculating estimates based on Kabirian-based isomorphic optinalysis models. Users can make direct numerical data entry, or alternatively, can upload CSV or Excel file, select analysis parameters such as mirror principal value and centering options, and generate comprehensive statistical mirroring results. With its intuitive design and robust functionality, the Statistical Mirroring Application empowers researchers, students, and professionals to explore and understand data relationships effectively. Additionally, the application comes with a comprehensive user manual to assist users in navigating its features and functionalities seamlessly.