Ying Lu – författare

Many governments seek to attract skilled migrants into the top occupational groups and now have significant groups of overseas-born professionals in their workforces. Such groups are expected to contribute significantly to the economic and social development of their new countries. There has been sustained debate between those taking the view that skilled migrants are integrated without much difficulty and those concerned that a mismatch between aspirational government policies and actual organisational practice generates discontent and frustration among skilled immigrants. If the latter is correct, it seems likely that host societies will not benefit from the injection of human capital in terms of creativity and innovation. In Skilled Migration, Expectation and Reality the authors report the findings of their research into the acculturation and integration issues confronting professional Chinese immigrants in the Australian labour market. Australia serves as a good example of the phenomenon under examination, being a country where Chinese are one of the largest non-English speaking ethnic groups and where they are strongly concentrated in the top occupational groups. The authors’ rigorous quantitative and qualitative study is one of the first systematic examinations of acculturation to focus specifically on the workplace. It reveals fascinating insights regarding the strategies that professional immigrants are compelled to adopt because they are unable to find appropriate channels through which to integrate and assimilate into the host society.

This book presents new and powerful advanced statistical methods that have been used in modern medicine, drug development, and epidemiology. Some of these methods were initially developed for tackling medical problems.All 29 chapters are self-contained. Each chapter represents the new development and future research topics for a medical or statistical branch. For the benefit of readers with different statistical background, each chapter follows a similar style: the explanation of medical challenges, statistical ideas and strategies, statistical methods and techniques, mathematical remarks and background and reference. All chapters are written by experts of the respective topics.

This book presents new and powerful advanced statistical methods that have been used in modern medicine, drug development, and epidemiology. Some of these methods were initially developed for tackling medical problems.All 29 chapters are self-contained. Each chapter represents the new development and future research topics for a medical or statistical branch. For the benefit of readers with different statistical background, each chapter follows a similar style: the explanation of medical challenges, statistical ideas and strategies, statistical methods and techniques, mathematical remarks and background and reference. All chapters are written by experts of the respective topics.

This book presents the proceedings of the 2nd Pacific Rim Statistical Conference for Production Engineering: Production Engineering, Big Data and Statistics, which took place at Seoul National University in Seoul, Korea in December, 2016. The papers included discuss a wide range of statistical challenges, methods and applications for big data in production engineering, and introduce recent advances in relevant statistical methods.

This book presents the proceedings of the 2nd Pacific Rim Statistical Conference for Production Engineering: Production Engineering, Big Data and Statistics, which took place at Seoul National University in Seoul, Korea in December, 2016.

This book provides a practical overview of the statistical methods used in quality control and quality assurance in medical diagnosis, including their applications in clinical and radiological laboratories as well as central laboratories in multi-center clinical trials. The book consists of 10 chapters, covering topics of an overview of quality assurance and quality control practice, precision, accuracy, and agreement of continuous measures, longitudinal monitoring equipment performance and process control, calibration and upgrade of equipments, reader agreement in categorical variables, examples of quality control on disease diagnosis and clinical trials, diagnostic sensitivities, etc. It is intended for statistical readers as well as clinical readers who are interested in related statistical methods.