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Statistical Aspects of Growth Models (Paperback)
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Statistical Aspects of Growth Models (Paperback)
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Growth Modelling is the heart of various fields of Applied
Statistics such as Bio-metrics, Econometrics, Demometrics, Business
and Industrial Statistics. This book brought out the mathematical
and Statistical aspects of growth and developed some new
statistical growth models by using the logistic and Poisson
regressions, Inferential aspects of these statistical growth models
have also been described in this book.Firstly, a Logistic
regression model has been specified as a number of family of
generalized linear models.Secondly, a Poisson regression model has
been specified by using the Poisson probability model for count
data.Thirdly, residuals are obtained from Logistic and Poisson
regression models, to test for the adequacy of the models;
Fourthly, a test procedure has been developed for assessing the fit
of the Multiple Logistic regression Fifthly, new Multiple Logistic
regression growth and Multiple Poisson regression growth models
have been specified by using logistic and Poisson regressions.
Finally, a criterion for choosing between Logistic regression
growth and Poisson regression growth models has been discussed by
testing the nonlinear hypotheses.
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