Mathematical Gnostics: Advanced Data Analysis for Research and Engineering Practice - Hardcover

Kovanic, Pavel

Hardcover

ISBN 10: 1138339237 ISBN 13: 9781138339231

Publisher: CRC Press, 2023

Synopsis

The book describes the theoretical principles of nonstatistical methods of data analysis but without going deep into complex mathematics. The emphasis is laid on presentation of solved examples of real data either from authors' laboratories or from open literature. The examples cover wide range of applications such as quality assurance and quality control, critical analysis of experimental data, comparison of data samples from various sources, robust linear and nonlinear regression as well as various tasks from financial analysis. The examples are useful primarily for chemical engineers including analytical/quality laboratories in industry, designers of chemical and biological processes.

Features:

• Exclusive title on Mathematical Gnostics with multidisciplinary applications, and specific focus on chemical engineering.
• Clarifies the role of data space metrics including the right way of aggregation of uncertain data.
• Brings a new look on the data probability, information, entropy and thermodynamics of data uncertainty.
• Enables design of probability distributions for all real data samples including smaller ones.
• Includes data for examples with solutions with exercises in R or Python.

The book is aimed for Senior Undergraduate Students, Researchers, and Professionals in Chemical/Process Engineering, Engineering Physics, Stats, Mathematics, Materials, Geotechnical, Civil Engineering, Mining, Sales, Marketing and Service, and Finance.

About this title

About the Author

Pavel Kovanic (Born 1928) 1950-1955: Studied high voltage technology on the Technical University in Sverdlovsk (recently Ekaterinburg, Russia). 1956-1970: Researcher, head of a scientific department at the Nuclear Research Institute of the Czechoslovak Academy of Sciences. 1970-1995: Scientist at the Institute of the Automation and Theory of Information of the Czech Academy of Sciences. 1995-2018: As a retired scientist participated as a scientific consultant on several research projects including grants of European Union.

From the Back Cover

The focus of the book will be concentrated to the step-by-step explanation of applications of the algorithms to real data which are met in daily practice by all data analysts, with particulr focus on chemcial engineering. The book will lead readers through all relevant tasks on one-dimensional, two-dimensional, and multi-dimensional data analysis.

Edition details

• Publisher: CRC Press
• Publication date: 2023
• Language: English
• ISBN 10: 1138339237
• ISBN 13: 9781138339231
• Binding: Hardcover
• Edition number: 1
• Number of pages: 322