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Linear Regression With Matlab: A Tutorial Introduction to the Mathematics of Regression Analysis

Linear Regression With Matlab: A Tutorial Introduction to the Mathematics of Regression Analysis - Paperback

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Availability:In StockContributor:James V. StoneSeries:Tutorial IntroductionsPublish date:2022-02-15Pages:140
Language:EnglishPublisher:Sebtel PressISBN-13:9781916279179ISBN-10:1916279171UPC:9781916279179Book Category:MathematicsBook Subcategory:Probability & StatisticsBook Topic:Regression AnalysisSize:9.00 x 6.00 x 0.30 inchesWeight:0.4299Product ID:SCRG1YM553

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 Matlab 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.


Language:EnglishPublisher:Sebtel PressISBN-13:9781916279179ISBN-10:1916279171UPC:9781916279179Book Category:MathematicsBook Subcategory:Probability & StatisticsBook Topic:Regression AnalysisSize:9.00 x 6.00 x 0.30 inchesWeight:0.4299Product ID:SCRG1YM553
Publisher: Sebtel Press

Contributor(s)

James V. Stone

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