This is the first comprehensive study on archipelagic regimes published since the adoption of the United Nations Convention on the Law of the Sea in 1982. The book traces the historical evolution of the archipelagic concept in international law and examines the definition of archipelagos and archipelagic states. The nature, status and regime of the waters of different types of archipelagos is examined and analysed from the perspective of archipelagic states and is based on the requirement of such states for territorial integrity and self-determination. The book introduces the concept of `Ocean States' and links Ocean States with the archipelagic concept. The archipelagic concept is viewed as a practical as well as a functional basis for the determination of the territorial limits of Ocean States.

In a book as intriguing as its subject, authors George H. Kellner and J. Stanley Lemons have successfully blended an innovative, forceful text with extraordinary images to produce a lively historical canvas of the state of Rhode Island. Rhode Island began when dissenters like Roger Williams, Ann Hutchinson, William Coddington, and Samuel Gorton established the four original towns on Narragansett Bay in the 1630s and 1640s. As a haven for religious freedom, the colony was harshly criticized by its neighbors and denounced as the "Isle of Errors." And when resentment against Britain turned to war, Rhode Island was the first colony to renounce its allegiance to George III -- but the last of the original 13 states to ratify the Constitution, stubbornly holding out because the new Constitution restricted state's rights. Boldly deserting the limitations of the more traditional history book, the authors have included topical themes selected for their intrinsic interest, such as recreation and the spirit of patriotism, plus a fascinating segment about Newport's "High Society." And they take a penetrating look at Rhode Island's institutions and controversial figures of the last three centuries.

Praise for the first edition: “This book would be especially good for the shelf of anyone who already knows nonparametrics, but wants a reference for how to apply those techniques in R.” -The American Statistician This thoroughly updated and expanded second edition of Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses. Two new chapters covering multivariate analyses and big data have been added. Core classical nonparametrics chapters on one- and two-sample problems have been expanded to include discussions on ties as well as power and sample size determination. Common machine learning topics --- including k-nearest neighbors and trees --- have also been included in this new edition. Key Features: Covers a wide range of models including location, linear regression, ANOVA-type, mixed models for cluster correlated data, nonlinear, and GEE-type. Includes robust methods for linear model analyses, big data, time-to-event analyses, timeseries, and multivariate. Numerous examples illustrate the methods and their computation. R packages are available for computation and datasets. Contains two completely new chapters on big data and multivariate analysis. The book is suitable for advanced undergraduate and graduate students in statistics and data science, and students of other majors with a solid background in statistical methods including regression and ANOVA. It will also be of use to researchers working with nonparametric and rank-based methods in practice.