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The aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal basis, and their appropriate application is shown through many real data examples and case studies. Availability of (user-friendly) software has been a major criterion for the methods selected and presented. Thus, the book primarily targets an audience that includes students, teachers and practitioners in social, economic, and life sciences, as well as students and teachers in statistics programs, and mathematicians and computer scientists with interests in statistical modeling and data analysis. It is written on an intermediate mathematical level and assumes only knowledge of basic probability, calculus, and statistics. The most important definitions and statements are concisely summarized in boxes. Two appendices describe required matrix algebra, as well as elements of probability calculus and statistical inference.
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1
Regression: Models, Methods and Applications
2023, Springer Berlin / Heidelberg
in English
3662638843 9783662638842
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2
Regression: Models, Methods and Applications
2021, Springer Berlin / Heidelberg
in English
3662638819 9783662638811
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3
Regression: Models, Methods and Applications
Jun 23, 2015, Springer
paperback
3642433766 9783642433764
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4
Regression: Models, Methods and Applications
2013, Springer Berlin Heidelberg, Imprint: Springer
electronic resource :
in English
3642343333 9783642343339
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5
Regression: Models, Methods and Applications
May 23, 2013, Springer
hardcover
3642343325 9783642343322
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6 |
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7
Regression: Modelle, Methoden und Anwendungen
Sep 11, 2009, Springer
paperback
364201836X 9783642018367
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8
Regression: Modelle, Methoden und Anwendungen
2007, Springer London, Limited
in German
3540339337 9783540339335
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Source title: Regression: Models, Methods and Applications
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