I have spent the last 2 years writing a book entitled The Art and Craft of Data-Based Mechanistic Modelling. As in the case of a previous book, Young (2011), this new book is intended primarily for students and practitioners who wish to learn about how to apply tools from the CAPTAIN Toolbox, together with other tools in Matlab, to statistically identify and estimate Data-Based Mechanistic (DBM) models from time series data. But while the previous book contained theory and numerous associated applications, the present book focuses on 3 specific examples of considerable importance to humanity: the global climate; the COVID-19 pandemic; and the macro-economy of the USA, with this latter one illustrated by how Government and Private Capital investment effect unemployment. These three examples are all discussed in a considerably detailed tutorial manner that demonstrates the `art and craft’ of DBM modelling without the distraction of the theoretical background, all of which is available in the previous 2011 book. This tutorial nature of the book is emphasized by the inclusion of an extensive tutorial appendix concerned mainly with the DBM modelling of hydrological data, which the reader previously unfamiliar with DBM modelling and the application of the CAPTAIN Toolbox is advised to consult.
Reference
P. C. Young. Recursive Estimation and Time-Series Analysis: An Introduction for the Student and Practitioner. Springer-Verlag, Berlin., 2011.
The first 38 pages of the book, containing the Preface, full contents and the Introductory section can be accessed by the link below