Statistical Data

The modeling and processing of empirical data is one of the main subjects and goals of statistics. Nowadays, with the development of computer science, the extraction of useful and often hidden information and patterns from data sets of different volumes and complex data sets in warehouses has been added to these goals. New and powerful statistical techniques with machine learning (ML) and data mining paradigms have been developed.

The present book contains all of the articles in the second edition of the Special Issue titled "Statistical Data Modeling and Machine Learning with Applications II". This Special Issue belongs to the "Mathematics and Computer Science" Section and aims to publish research on the theory and application of statistical data modeling and machine learning. New mathematical methods and approaches, new algorithms and research frameworks, and their applications aimed at solving diverse and nontrivial practical problems are proposed and developed in this SI. We believe that the chosen papers are attractive and useful to the international scientific community and will contribute to further research in the field of statistical data modeling and machine learning.

This monograph offers an original broad and very diverse exploration of the seriation domain in data analysis, together with building a specific relation to clustering.

Data editing is an integral and expensive part of the survey process; its impact is fat reaching.

Learn to Use Python with ChatGPT 3.5 to Perform Statistical Tests and Data Analysis from Cleaning to Insight Generation.

Learn to Use Python with ChatGPT 3.5 to Perform Statistical Tests and Data Analysis from Cleaning to Insight Generation.

Learn Descriptive and Inferential Statistics, Data Visualization, Hypothesis Testing and Probability Distribution.

The core principles of statistical analysis are too easily forgotten in today’s world of powerful computers and time-saving algorithms. This step-by-step primer takes researchers who lack the confidence to conduct their own analyses right back to basics, allowing them to scrutinize their own data through a series of rapidly executed reckonings on a simple pocket calculator. A range of easily navigable tutorials facilitate the reader’s assimilation of the techniques, while a separate chapter on next generation Flash prepares them for future developments in the field.