Data Analysis and Related Applications, Volume 5: Models, Methods and Techniques [Hardcover]

This book is a collective work by several leading scientists, analysts, engineers, mathematicians and statisticians, who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics.

Data Analysis and Related Applications 5 represents a cross-section of current concerns and research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.

Chapter 1 Modeling/Forecasting Patient Recruitment in Multicenter Clinical Trials Using Time-dependent Models 1
Volodymyr ANISIMOV and Lucas OLIVER

1.1 Introduction 1

1.2 Poisson-gamma model with time-dependent rates 5

1.2.1 The case of homogeneous rates 5

1.3 Non-homogeneous PG model 7

1.3.1 Estimation at the interim stage 9

1.3.2 Simulation of non-homogeneous PG model 10

1.4 Testing the recruitment rates for homogeneity 11

1.4.1 Poisson-type test 12

1.4.2 Criterion for testing hypothesis H 0 13

1.4.3 Poisson-gamma test 15

1.5 Implementations 19

1.6 Acknowledgment 20

1.7 References 20

Chapter 2 Forecasting the Next Megacycle of the Economy 23
George S. ATSALAKIS and Ioanna ATSALAKI

2.1 Introduction 23

2.2 2024: the end of an economic megacycle 24

2.3 The role of technology in shaping the future 25

2.4 The economic consequences olC¯