International Encyclopedia of Statistical Science

Dr. Miodrag Lovric embarked on his academic journey at the Department of Statistics, University of Belgrade, culminating in the completion of his Ph.D. in Statistical Science in 1986. His doctoral research focused on the efficiency and robustness of nonparametric rank tests, with a particular emphasis on the relevance of the Pitman asymptotic relative efficiency, especially in the context of moderate sample sizes. His early career involved teaching and research in Belgrade, but the turbulent times during the war in Yugoslavia prompted him to make a significant decision-to leave Serbia and relocate to New Zealand. In 1995, Dr. Lovric became part of the Open Polytechnic of New Zealand, contributing to distance education. The following year, he joined Wellington Polytechnic, later integrated into Massey University, where he delivered diverse courses, ranging from programming languages and data analysis to quality assurance and applied statistics. His commitment to conveying the relevance, beauty, and universal value of statistical thinking led him to envision and develop user-friendly statistical software named EduStat.

The year 1999 marked a move to Australia, where Dr. Lovric joined the School of Mathematics and Statistics at the University of South Australia, Adelaide. Responsible for teaching statistics across various disciplines, he encountered student feedback indicating a need for a fresh approach to statistical education. This realization inspired him to spend several years designing and developing EduStat, aiming to create a friendlier attitude toward statistics. Returning to Serbia in 2002, Dr. Lovric assumed the role of Professor of Statistics at the University of Belgrade, extending to the University of Kragujevac from 2008. Despite the widespread use of his statistical software at more than 30 faculties in the region and its exposure on numerous Serbian TV channels, he observed a crisis in statistics education in the former Yugoslavian republics. In response, he dedicated himself to a new project, resulting in the creation of the International Encyclopedia of Statistical Science.

In 2018, Miodrag Lovric embarked on a significant new chapter in his professional journey, moving from New Zealand to the United States. This transition marked a pivotal point in his career, bringing new opportunities and collaborations. Upon joining the Department of Mathematics and Statistics at Radford University in the United States, Miodrag was met with an extraordinary welcome and an outpouring of support from his colleagues, a testament to the inclusive and collegial atmosphere of the academic community there. At the heart of this warm reception was the faculty at the Artis College of Science, who extended their support and camaraderie, playing a crucial role in his smooth integration into the academic fabric of the institution. Professor Neil Sigmon, the Chair of the Department of Mathematics and Statistics, stood out for his guidance and encouragement, providing Miodrag with invaluable insights and assistance as he acclimated to his new environment. His Dean, Steven Bachrach, Ph.D., was instrumental in fostering an environment where Miodrag's talents and experiences were not only recognized but also celebrated. Under Dean Bachrach's leadership, Miodrag found a conducive and vibrant setting for both teaching and research, enabling him to thrive and contribute significantly to the department. A highlight of Miodrag's transition was the support from Bret S. Danilowicz, Ph.D., the President of Radford University. President Danilowicz's leadership and vision for the university played a pivotal role in creating an atmosphere where international scholars like Miodrag could flourish and make meaningful contributions to the academic community.

Most importantly, the enthusiasm and engagement of his students in the United States have been a source of great joy and inspiration for Miodrag. Their curiosity, eagerness t

A nonparametric approach to extreme value statistics.- A note on tests of independence.- A STATISTICAL VIEW OF INFORMATION THEORY.- A TOUR ON RELIABILITY.- ABSOLUTE PENALTY ESTIMATION.- ACCELERATED LIFETIME TESTING.- Acceptance Sampling Plans.- ACTUARIAL METHODS.- ADAPTIVE LINEAR REGRESSION.- ADAPTIVE METHODS.- ADAPTIVE SAMPLING.