Advances in Statistical Methodologies and Their Application to Real Problems

• Other Authors: Hokimoto, Tsukasa (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: IntechOpen 2017
• Subjects: Mathematical modelling; loss functions, evolution, reliability, anatomy, monte carlo simulation, probability
• Online Access: DOAB: download the publication; DOAB: description of the publication

In recent years, statistical techniques and methods for data analysis have advanced significantly in a wide range of research areas. These developments enable researchers to analyze increasingly large datasets with more flexibility and also more accurately estimate and evaluate the phenomena they study. We recognize the value of recent advances in data analysis techniques in many different research fields. However, we also note that awareness of these different statistical and probabilistic approaches may vary, owing to differences in the datasets typical of different research fields. This book provides a cross-disciplinary forum for exploring the variety of new data analysis techniques emerging from different fields.