Statistical Analysis Handbook - StatsRef

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Dr M J de SmithStatistical AnalysisHandbookA comprehensive Handbook ofstatistical concepts, techniques andsoftware toolsStatistical Analysis HandbookA comprehensive Handbook of Statistical concepts, techniques andsoftware toolsby Dr M J de SmithAll rights reserved. No parts of this work may be reproduced in any form or by any means - graphic, electronic, ormechanical, including photocopying, recording, taping, or information storage and retrieval systems - without the writtenpermission of the that are referred to in this document may be either trademarks and/or registered trademarks of the respectiveowners. The publisher and the author make no claim to these every precaution has been taken in the preparation of this document, the publisher and the author assume noresponsibility for errors or omissions, or for damages resulting from the use of information contained in this document orfrom the use of programs and source code that may accompany it. In no event shall the publisher and the author be liablefor any loss of profit or any other commercial damage caused or alleged to have been caused directly or indirectly by Analysis Handbook 2014 Dr M J de Smith : cover image: Polar bubble plot (source: MatPlotLib library, Python)Rear cover image: Florence Nightingale's polar diagram of causes of mortality, by date (source: Wikipedia)Citation: de Smith M J (2015) StatsRef : Statistical Analysis Handbook - a web-based statisticsresource.

16 Regression and smoothing 485 16.1 Least squares 491 16.2 Ridge regression 497 16.3 Simple and multiple linear regression 498 16.4 Polynomial regression 512 16.5 Generalized Linear Models (GLIM) 514 16.6 Logistic regression for proportion data 516 16.7 Poisson regression for count data 519 16.8 Non-linear regression 523

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