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Social sciences --- Social sciences --- Statistics --- Statistical methods --- Computer programs. --- Statistics --- Graphic methods --- Computer programs. --- Graphic methods --- Computer programs. --- Stata.
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Social sciences --- Social sciences --- Social sciences --- Graphic methods --- Computer programs. --- Statistical methods --- Computer programs. --- Statistics --- Graphic methods --- Computer programs. --- Stata.
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Social sciences --- Social sciences --- Statistics --- Statistics --- Statistical methods --- Computer programs. --- Statistics --- Graphic methods --- Computer programs. --- Computer programs. --- Graphic methods --- Computer programs. --- Stata.
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Social sciences --- Social sciences --- Statistics --- Statistics --- Statistical methods --- Computer programs --- Statistics --- Graphic methods --- Computer programs --- Computer programs --- Graphic methods --- Computer programs
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Social sciences --- Social sciences --- Statistics --- Statistics --- Statistical methods --- Data processing. --- Statistics --- Graphic methods --- Data processing. --- Data processing. --- Graphic methods --- Data processing. --- Stata.
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Social sciences --- Social sciences --- Statistics --- Statistics --- Statistical methods --- Computer programs. --- Statistics --- Graphic methods --- Computer programs. --- Computer programs. --- Graphic methods --- Computer programs. --- Stata.
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Missing observations (Statistics). --- Multiple imputation (Statistics). --- Social sciences --- Statistics --- Statistical methods --- Computer programs --- Graphic methods --- Computer programs --- Stata
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Social sciences --- Social sciences --- Statistics --- Statistics --- Statistical methods --- Computer programs. --- Statistics --- Computer programs. --- Computer programs. --- Graphic methods --- Computer programs. --- Stata.
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The study of graph structure has advanced in recent years with great strides: finite graphs can be described algebraically, enabling them to be constructed out of more basic elements. Separately the properties of graphs can be studied in a logical language called monadic second-order logic. In this book, these two features of graph structure are brought together for the first time in a presentation that unifies and synthesizes research over the last 25 years. The authors not only provide a thorough description of the theory, but also detail its applications, on the one hand to the construction of graph algorithms, and, on the other to the extension of formal language theory to finite graphs. Consequently the book will be of interest to graduate students and researchers in graph theory, finite model theory, formal language theory, and complexity theory.
Computer science --- Logic, Symbolic and mathematical --- Graphic methods --- Mathematics --- Graphic methods. --- Logic. --- Mathematical Sciences --- General and Others --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Logic, Symbolic and mathematical - Graphic methods
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