Linear regression is the workhorse of data analysis. It is the first step, and often the only step, in fitting a simple model to data. This brief book explains the essential mathematics required to understand and apply regression analysis. The tutorial style of writing, accompanied by over 30 diagrams, offers a visually intuitive account of linear regression, including a brief overview of nonlinear and Bayesian regression. Hands-on experience is provided in the form of numerical examples, included as Python code at the end of each chapter, and implemented online as Python and Matlab code. Supported by a comprehensive glossary and tutorial appendices, this book provides an ideal introduction to regression analysis.
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Taschenbuch. Zustand: Neu. Neuware - Linear regression is the first step, and often the only step, required to fit a simple model to data. Supported by a Glossary and tutorial appendices, this is an ideal introduction to regression analysis. Each chapter contains Python code. Artikel-Nr. 9781916279186
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Taschenbuch. Zustand: Neu. Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis | James V. Stone | Taschenbuch | Tutorial Introductions | Kartoniert / Broschiert | Englisch | 2022 | Touchladybirdlucky Studios | EAN 9781916279186 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Artikel-Nr. 121205314
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