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As a historian of the Renaissance and the rise of Christianity, Burckhardt was concerned with periods of social, political, and cultural transformation. Writing in the aftermath of the 1848 Revolutions and in the long shadow cast by the French Revolution of 1789, he observed the rise of industrial capitalism and mass politics with trepidation. He especially lamented the fate of the individual, whose creativity had shaped the glories of the Renaissance and ancient Greece but who was increasingly domesticated and commodified in modern society. Unlike conventional accounts, which characterize...

Two British environmental activists are discovered dead amongst the whale corpses after a whale-kill in Torshavn. The detective Hannis Martinsson is asked to investigate by a representative of the organisation Guardians of the Sea - who shortly afterwards is killed when his private plane crashes. Suspicion falls on Faroese hunters, angry at persistent interference in their traditional whale hunt; but the investigation leads Martinsson to a much larger group of international vested interests, and the"

R is now the most widely used statistical package/language in university statistics departments and many research organizations. Its great advantages are that for many years, it has been the leading statistical package/language and that it can be freely downloaded from the R website. This text provides a comprehensive treatment of the theory of statistical modelling in R with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and...

R is now the most widely used statistical package/language in university statistics departments and many research organizations. Its great advantages are that for many years, it has been the leading statistical package/language and that it can be freely downloaded from the R website. This text provides a comprehensive treatment of the theory of statistical modelling in R with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and...