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Ranked Set Sampling
The first book on the concept and applications of ranked set sampling. It provides a comprehensive review of the literature, and it includes many new results and novel applications. The detailed description of various methods illustrated by real or simulated data makes it useful for scientists and practitioners in application areas such as agriculture, forestry, sociology, ecological and environmental science, and medical studies. It can serve as a reference book and as a textbook for a short course at the graduate level.
Technological Development and Impact on Economic and Environmental Sustainability
The globalized world has experienced significant improvements in production and consumption in a heterogeneous way since the industrial revolution. However, the considerable environmental degradation and energy wars resulting from the limited fossil energy sources brought the issue of sustainable development to the world agenda. Sustainable development has become one of the most discussed issues at country and international levels and requires further investigation to fully understand how we can move towards a more sustainable future. Technological Development and Impact on Economic and Environmental Sustainability explores the determinants of economic, social, and environmental sustainability from a multidisciplinary perspective in the globalized world, analyzes the impacts of applied sustainable policies, and considers the improvements in the Sustainable Development Goals. Covering topics such as economic growth and climate change, this reference work is ideal for researchers, academicians, scholars, practitioners, industry professionals, instructors, and students.
Recent Advances on Sampling Methods and Educational Statistics
This edited collection commemorates the career of Dr. S. Lynne Stokes by highlighting recent advances in her areas of research interest, emphasizing practical applications and future directions. It serves as a collective effort of leading statistical scientists who work at the cutting edge in statistical sampling. S. Lynne Stokes is Professor of Statistical Science and Director of the Data Science Institute at Southern Methodist University, and Senior Fellow at the National Institute of Statistical Sciences. She has enjoyed a distinguished research career, making fundamental contributions to a variety of fields in statistical sampling. Reflecting on Professor Stokes' main areas of research, ...
Robust Rank-Based and Nonparametric Methods
The contributors to this volume include many of the distinguished researchers in this area. Many of these scholars have collaborated with Joseph McKean to develop underlying theory for these methods, obtain small sample corrections, and develop efficient algorithms for their computation. The papers cover the scope of the area, including robust nonparametric rank-based procedures through Bayesian and big data rank-based analyses. Areas of application include biostatistics and spatial areas. Over the last 30 years, robust rank-based and nonparametric methods have developed considerably. These procedures generalize traditional Wilcoxon-type methods for one- and two-sample location problems. Res...
