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Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to advanced statistics through ready-to-use code in the public domain R statistical software environment. The book presents fundamental results of probability theory and statistical inference, before exploring several fields of applied statistics, such as data smoothing, regression, multivariate analysis and classification, treatment of nondetections, time series analysis, and spatial point processes. It applies the methods discussed to contemporary astronomical research datasets using the R statistical software, making it invaluable for graduate students and researchers facing complex data analysis tasks. A link to the author's website for this book can be found at www.cambridge.org/msma. Material available on their website includes datasets, R code and errata. Visit the author's homepage at http://astrostatistics.psu.edu for more materials. |
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 Gitolite Essentials
Leverage powerful branch and user access control with Git for your own private collaborative repositories
Overview
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Learn to manage the many repositories and the users accessing these repositories in the Git server
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Walks you through the most important ideas and concepts in Gitolite supported...
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In this handy new Pocket Guide, Photoshop expert Brie Gyncild introduces readers to the powerful features in Photoshop CS5, including new features like content-aware fill, HDR Pro, Bristle effects, Mixer Brush, and Puppet Warp. The book covers everything from navigating the interface and making basic edits to working with images in Camera... |  |  SQL Success - Database Programming Proficiency
SQL Success is about problem-solving in SQL. It bridges the gap between dry and dull database theory books, and developer books that focus on giving recipes without explaining sufficiently the reasons behind the recipes or discussing alternative solutions.
Many developers struggle with SQL due to the contrast between ... |
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