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Noted for its integration of real-world data and case studies, this guide offers sound coverage of the theoretical aspects of mathematical statistics. It demonstrates how and when to use statistical methods, while reinforcing the calculus that readers have already mastered. Presents standard statistical techniques in a mathematical context, allowing the reader to see the underlying hypotheses for the applications. Uses case studies and practical worked-out examples to motivate statistical reasoning and demonstrate the application of statistical methods to a wide variety of real-world situations. Discusses practical problems in the application of the ideas covered in each chapter, as well as common misunderstandings or faulty approaches. Revised Minitab sections now conform to the Version 14, the latest release. For anyone interested in learning more about mathematical statistics. |
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Foundations of XML Processing: The Tree-Automata Approach
Computer science, like other mathematical fields, cannot live without a tight relationship
with reality. However, such a relationship is, frankly, not very common.
This is probably why people so enthusiastically welcome a true meeting of theory
and practice. In that sense, the coming together of XML and tree automata theory
was a... | | Perl Fast & Easy Web DevelopmentDon?t spend your time wading through manuals to learn Perl. Spend it doing what you do best?creating Web pages! Perl is quickly developed and results-oriented. With this book, you?ll move seamlessly from the basics of this language to building dynamic Web sites. Combining easy-to-understand instructions with visual examples, Perl Fast &... | | Visual Basic .NET Programming
It doesn't matter if you're new to programming or just to VB.NET, Visual Basic .NET Programming gets you up and running with the new version and offers a comprehensive introduction to Windows and web application development. From language fundamentals to ADO.NET, XML, and Web Services, Harold Davis's thoughtful approach emphasizes... |
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