01524cam a2200205 i 4500
21239443
2019028996
9781544375229
519.536
FOX/R
Fox,John
Regression diagnostics :an introduction
2
New Delhi
Sage
2020
xv, 151p.
ill.
Quantitative applications in the social sciences ;79
"Regression diagnostics are methods for determining whether a regression model that has been fit to data adequately represents the structure of the data. For example, if the model assumes a linear (straight-line) relationship between the response and an explanatory variable, is the assumption of linearity warranted? Regression diagnostics not only reveal deficiencies in a regression model that has been fit to data but in many instances may suggest how the model can be improved. The Second Edition of this bestselling volume by John Fox considers two important classes of regression models: the normal linear regression model (LM), in which the response variable is quantitative and assumed to have a normal distribution conditional on the values of the explanatory variables; and generalized linear models (GLMs) in which the conditional distribution of the response variable is a member of an exponential family. R code for examples within the text can be found on an accompanying website"--
Social sciences- Statistical methods
Social sciences
BK
62929
62929
0
0
0
0
KUCL
Stack
2021-10-26
30.00
0
519.536 FOX/R
54740
2023-09-04
2021-10-26
BK