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Coverage of the Clinton-Lewinsky saga followed in a long trail of
media exposures of the more personal details of the lives of public
figures. Many commentators have seen stories like this, and TV
shows like Jerry Springer's, as evidence of a decline in the
standards of the mass media. This increasing interest in private
lives and the falling off of coverage of serious news is often
described as Otabloidization.O The essays in this book are the
first serious scholarly studies of what is going on and what its
implications are. Reality, it turns out, is much more complex than
some of the laments suggest. As the contributors show, this is not
just a U.S. problem but is repeated in country after country, and
it is not certain that the media anywhere are getting more tabloid.
What is more, there is no consensus about whether tabloidization is
just Odumbing downO or whether it is a necessary tactic for the
mass media to engage with new audiences who do not have the news
habit. Tabloid Tales will be of interest to students and scholars
in journalism, mass communication, political science, and cultural
and media studies.
Since their popularization in the 1990s, Markov chain Monte Carlo
(MCMC) methods have revolutionized statistical computing and have
had an especially profound impact on the practice of Bayesian
statistics. Furthermore, MCMC methods have enabled the development
and use of intricate models in an astonishing array of disciplines
as diverse as fisheries science and economics. The wide-ranging
practical importance of MCMC has sparked an expansive and deep
investigation into fundamental Markov chain theory. The Handbook of
Markov Chain Monte Carlo provides a reference for the broad
audience of developers and users of MCMC methodology interested in
keeping up with cutting-edge theory and applications. The first
half of the book covers MCMC foundations, methodology, and
algorithms. The second half considers the use of MCMC in a variety
of practical applications including in educational research,
astrophysics, brain imaging, ecology, and sociology. The in-depth
introductory section of the book allows graduate students and
practicing scientists new to MCMC to become thoroughly acquainted
with the basic theory, algorithms, and applications. The book
supplies detailed examples and case studies of realistic scientific
problems presenting the diversity of methods used by the
wide-ranging MCMC community. Those familiar with MCMC methods will
find this book a useful refresher of current theory and recent
developments.
The aim of this student text is to provide support for practical
programming in concurrency, using the OCCAM 2 computer language.
Although readers do not require previous experience of writing
parallel computer programs, a general knowledge of programming
techniques is assumed.
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Spoken in Whispers (Paperback)
Ian Taylor; Illustrated by Selene Paxton-Brooks; Andrew Llewellyn
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R461
Discovery Miles 4 610
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Ships in 10 - 15 working days
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William Blandowski was an explorer, natural scientist and artist
who led a Victorian government expedition to the junction of the
Murray and Darling Rivers from 1856 to 1857. Australia is the first
publication in English of his nineteenth century illustrated
encyclopaedia of Aboriginal life, Australien in 142
photographischen Abbildungen nach zehnjarigen Erfahrungen. It
include Blandowski's own photographs, and photographs of sketches
or illustrations created by others, including the only nineteenth
century portrait image of the Nyeri Nyeri people.
William Blandowski was an explorer, natural scientist and artist
who led a Victorian government expedition to the junction of the
Murray and Darling Rivers from 1856 to 1857. Australia is the first
publication in English of his nineteenth century illustrated
encyclopaedia of Aboriginal life, Australien in 142
photographischen Abbildungen nach zehnjarigen Erfahrungen. It
include Blandowski's own photographs, and photographs of sketches
or illustrations created by others, including the only nineteenth
century portrait image of the Nyeri Nyeri people.
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