Analysis of Distributional Data

ISBN-13: 9781498725453 / Angielski / Twarda / 2022 / 376 str.

Paula Brito

Opis

Data where for each entity and variable a distribution is given is called distributional data. In the era of "Big Data," this type of data is becoming more and more prevalent. This edited book presents a synthesis of research in this area over the last twenty years or so. It has been carefully edited to ensure it is consistent with respect to style, level, notation, etc. Each chapter includes real data examples to illustrate the topics and software where appropriate.

Recenzje

" . . . this book will interest those who would like to expand their understanding regarding distributional data and its application in data science and to have a solid mathematical background on the different concepts under symbolic data analysis. This book also provides illustrative examples based on R package and open data which can contribute to the understanding on how to apply these methods to distributional data. This book can also benefit academic researchers who would like apply these types of approaches in their fields."
~Sébastien Bailly, ISCB Book Reviews