The aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal basis, and their appropriate application is shown ...
methods selected and presented\nMany examples and applications from diverse fields illustrate models and methods\nMost of the data sets are available via http://www.regressionbook.org/\nThe aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression ...
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Methods and Applications of Linear Models - Hocking - 1996 () Citation Context ...with standard statistical software. Principal components regression is a two-stage procedure that is widely known and applied in statistics, econometrics, and marketing (e.g., Freund and Wilson 1998; =-=Hocking ...
Marx, Regression: Models, Methods and Applications, 2a edizione, Springer, 2021. 3 Wessel N. van Wieringen, Lecture notes on ridge regression, 2023, https://arxiv.org/pdf/1509.09169.pdf 4 A. K. Md. Ehsanes Saleh, Mohammad Arashi e B. M. Golam Kibria, Theory of Ridge Regression ...
Regression Analysis: Theory, Methods, and, Applications In this paper we study some mathematical models describing evolution of population density and spread of epidemics in population systems in which spatial m... A Sen,M Srivastava - 《Journal of the American Statistical Association》 被引量: 0...
Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for ...
Quantile regression models have become a widely used statistical tool in genetics and in the omics fields because they can provide a rich description of th
As earlier stated, the multicollinearity influences the performance of the maximum likelihood estimator (MLE) in both the linear regression models and the Poisson regression models (PRM). The ridge regression and Liu estimator at a different time were harmonized to the PRM to solve multicollinearity....
Nonlinear Models (video) - part III To install library(remotes) remotes::install_github("femiguez/nlraa") library(nlraa) This package supports the following publications: Archontoulis, S. V., and F. E. Miguez. 2015. Nonlinear Regression Models and Applications in Agricultural Research. Agron...