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Darkwing Duck
Amanda Deibert; Artworks by Carlo Lauro
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R546
R443
Discovery Miles 4 430
Save R103 (19%)
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Ships in 10 - 15 working days
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He is the terror that flaps in the night…  He is the
ferocious fowl who plucks the evil eye from the face of foul
play…  He is Darkwing Duck!  Alongside his trusty
sidekick Lauchpad McQuack, Darkwing hyper-vigilantly defends St.
Canard from the dastardly, devilish demons who would wage wanton
war! By night, our caped defender lurks in the shadows, striking
fear (and maybe confusion?) in the heart of the criminal
underworld…but by day, no one suspects that Darkwing is also
mild-mannered Drake Mallard, a well-meaning father to his adorable
adopted daughter, Gosalyn! Can Darkwing successfully navigate his
two separate lives, all while looking incredibly cool and
impossibly handsome? (Hint: Probably not, but…) You’ll have to
read to find out!
This edited volume lays the groundwork for Social Data Science,
addressing epistemological issues, methods, technologies, software
and applications of data science in the social sciences. It
presents data science techniques for the collection, analysis and
use of both online and offline new (big) data in social research
and related applications. Among others, the individual
contributions cover topics like social media, learning analytics,
clustering, statistical literacy, recurrence analysis and network
analysis. Data science is a multidisciplinary approach based mainly
on the methods of statistics and computer science, and its aim is
to develop appropriate methodologies for forecasting and
decision-making in response to an increasingly complex reality
often characterized by large amounts of data (big data) of various
types (numeric, ordinal and nominal variables, symbolic data,
texts, images, data streams, multi-way data, social networks etc.)
and from diverse sources. This book presents selected papers from
the international conference on Data Science & Social Research,
held in Naples, Italy in February 2016, and will appeal to
researchers in the social sciences working in academia as well as
in statistical institutes and offices.
In the last decades, the production of goods and the offer of
services have become quite complex activities mostly because of the
markets globalisation, of the continuous push to the innovation and
of the constant requests from more and more demanding markets. The
main objective of a company system has become the achievement of
the quality for the business management cycle. This cycle goes from
the design (Plan) to the production (Do), from the control (Check)
to the man agement (Action), as well as to the marketing and
distribution. Nowadays, the Total Quality of the company system is
evaluated, according to the ISO 9000 regulations, in terms of its
capacity to adjust the design and the pro duction to the needs
expressed (explicitly or implictly) by the final users of a
product/service. In this process, the use of statistical techniques
is essential not only in the classical approach of Quality Control
of a product but also, and most importantly, in the Quality Design
oriented to the satisfaction of customers. Thus, Total Quality
refers to the global capacity of a company to fit its system to the
real needs of its customers by designing products which are able to
match the customers' taste and by implementing a statistical
control of both the product and the Customer Satisfaction. In such
a process of design and evaluation, several statistical variables
are involved and with a different nature (numerical, categorical,
ordinal)."
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