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Titlebook: Handbuch Soziale Praktiken und Digitale Alltagswelten; Heidrun Friese,Marcus Nolden,Miriam Schreiter Book 2020 Springer Fachmedien Wiesbad

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ribe population variables. Volume 1 studies properties of commonly used descriptive measures. Volume 2 considers use of sampling from populations to draw inferences concerning properties of populations. The volumes are intended for use by graduate students in statistics and professional statistician
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at help the reader to understand applications well.Presents .This book concentrates on linear regression, path analysis and logistic regressions, the most used statistical techniques for the test of causal relationships. Its emphasis is on the conceptions and applications of the techniques by using
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Or Ettlingerhe decomposition to a linear regression model. In this chapter you will learn a related decomposition that can create an orthonormal basis from a square, symmetric matrix. The decomposition is known as the eigen decomposition, and it has applications across a range of problems in math, science, and
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Dilek Özhan Koçakre environment. Statistical methods are being increasingly developed and refined by computer scientists, with expertise in writing efficient and elegant computer code.  Unfortunately, many researchers lack this programming background, leaving them to accept on faith the black-box output that emerges
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Bernadette Kneidinger-Müllerthem have an exact solution, so it might seem odd to begin by learning to solve a consistent system of linear equations. Yet there are good reasons to start this way. For one thing, linear systems form the backbone of most statistical analyses and many nonlinear functions have a linear component. Mo
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focused on learning mathematical operations rather than interpreting the values they produced. Statistical analyses involve more than solving mathematical problems, however, and in this chapter you will learn how to interpret the findings from a linear regression model.
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