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Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. The authors make liberal use of graphics and examples plus case studies taken from environmental, financial, and other applications. They include practical advice on implementation and pointers to relevant software.
Mathematical statistics --- Regression Analysis --- Nonparametric statistics --- Nonparametric statistics. --- Regression analysis. --- Regression analysis --- 519.233 --- 519.233 Parametric methods --- Parametric methods --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Distribution-free statistics --- Statistics, Distribution-free --- Statistics, Nonparametric --- Mathematical Sciences --- Probability
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Regression Analysis --- Nonlinear theories --- Nonlinear theories. --- Regression analysis. --- Regression analysis --- #TELE:SISTA --- 519.24 --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical analysis --- Mathematical physics --- 519.24 Special statistical applications and models --- Special statistical applications and models --- Mathematical statistics
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