Preface

This book is a collective work with contributions by leading experts on “Data Analysis and Related Applications: Theory and Practice”.

The field of data analysis has grown enormously over recent decades due to the rapid growth of the computer industry, the continuous development of innovative algorithmic techniques and recent advances in statistical tools and methods. Due to the wide applicability of data analysis, a collective work is always needed to bring all recent developments in the field, from all areas of science and engineering, under a single umbrella.

The contributions to this collective work are by a number of leading scientists, analysts, engineers, demographers, health experts, mathematicians and statisticians who have been working on the front end of data analysis. The chapters included in this collective volume represent a cross-section of current concerns and research interests in the scientific areas mentioned. The material is divided into three parts and 24 chapters in a form that will provide the reader with both methodological and practical information on data analytic methods, models and techniques, together with a wide range of appropriate applications.

Part 1 focuses mainly on multivariate data analysis and related fields, with eight chapters covering clustering techniques, regression modeling, contingency tables, stochastic and financial analysis, classification methods, employment patterns and job insecurity, and dynamic optimization.

Part 2 focuses mainly on health data analysis and related fields, with six chapters covering service quality, statistical quality control, bibliometric quality, lean management, prediction methods and ecosystem-based practices.

Part 3 focuses mainly on demographic data analysis and related fields, with 10 chapters covering retirement age, population aging, pension reform, force of mortality, demographic policies, excess mortality, neonatal mortality, alcohol-related mortality, prediction and forecasting methods, statistics of extremes and life expectancy.

Konstantinos N. ZAFEIRIS

Yiannis DIMOTIKALIS

Christos H. SKIADAS

Alex KARAGRIGORIOU

Christiana KARAGRIGORIOU-VONTA

April 2022

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