Linear and Non-Linear Regression: And Other Mathemagical Transformation
Alan R. Jones
Alan Jones' practical guide to the robust but often misunderstood techniques of Linear and Non-Linear Regression in the context of estimating.
The text considers Simple Linear Regression and ask what is it doing?, how good is it?, how accurate is it? and how can we use it to create estimates? Not all estimating relationships are linear, but if you could convert them into a format where they were linear then life would be a lot easier. The book considers this under the title of Linear Transformation and looks at how you can exploit this transformability and use the capability of Simple Linear Regression
Finally, the section on Time Series Analysis looks at data which exhibits a repeating pattern of variation over time around an underlying trend.
The text considers Simple Linear Regression and ask what is it doing?, how good is it?, how accurate is it? and how can we use it to create estimates? Not all estimating relationships are linear, but if you could convert them into a format where they were linear then life would be a lot easier. The book considers this under the title of Linear Transformation and looks at how you can exploit this transformability and use the capability of Simple Linear Regression
Finally, the section on Time Series Analysis looks at data which exhibits a repeating pattern of variation over time around an underlying trend.
წელი:
2017
გამომცემლობა:
Routledge
ენა:
english
გვერდები:
530
ISBN 10:
1138065005
ISBN 13:
9781138065000
სერია:
Working Guides to Estimating & Forecasting
ფაილი:
PDF, 21.26 MB
IPFS:
,
english, 2017
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