gamair

R package gamair: Data for ”GAMs: An Introduction with R”. Data sets and scripts used in the book ”Generalized Additive Models: An Introduction with R”, Wood (2006) CRC: The aim of this book is to present a comprehensive introduction to linear, generalized linear, generalized additive and mixed models. Moreover, the book contains explanations of the theory underlying the statistical methods and material on statistical modelling in R. The book is written to be accessible and the author used a fairly smooth way even in the case of advanced statistical notions. The book is intended as a text both for the students from the last two years of an undergraduate math/statistics programmme upwards and researchers. The prerequisite is an honest course in probability and statistics. Finally, let us note that the book includes some practical examples illustrating the theory and corresponding exercises. The appendix is devoted to some matrix algebra.


References in zbMATH (referenced in 242 articles )

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  1. Serban, Nicoleta: A space-time varying coefficient model: the equity of service accessibility (2011)
  2. Stoklosa, Jakub; Hwang, Wen-Han; Wu, Sheng-Hai; Huggins, Richard: Heterogeneous capture-recapture models with covariates: a partial likelihood approach for closed populations (2011)
  3. Strasak, Alexander M.; Umlauf, Nikolaus; Pfeiffer, Ruth M.; Lang, Stefan: Comparing penalized splines and fractional polynomials for flexible modelling of the effects of continuous predictor variables (2011)
  4. Tsujitani, Masaaki; Tanaka, Yusuke: Cross-validation, bootstrap, and support vector machines (2011) ioport
  5. Wand, M. P.; Ormerod, J. T.: Penalized wavelets: embedding wavelets into semiparametric regression (2011)
  6. Yang, Xipei; Frees, Edward W.; Zhang, Zhengjun: A generalized beta copula with applications in modeling multivariate long-tailed data (2011)
  7. Chen, Xue-Dong; Tang, Nian-Sheng: Bayesian analysis of semiparametric reproductive dispersion mixed-effects models (2010)
  8. Djeundje, Viani A. B.; Currie, Iain D.: Appropriate covariance-specification via penalties for penalized splines in mixed models for longitudinal data (2010)
  9. Greven, Sonja; Crainiceanu, Ciprian; Caffo, Brian; Reich, Daniel: Longitudinal functional principal component analysis (2010)
  10. Johnson, Devin S.; Laake, Jeffrey L.; Hoef, Jay M. Ver: A model-based approach for making ecological inference from distance sampling data (2010)
  11. Ohlsson, Esbjörn; Johansson, Björn: Non-life insurance pricing with generalized linear models (2010)
  12. Paciorek, Christopher J.: The importance of scale for spatial-confounding bias and precision of spatial regression estimators (2010)
  13. Pleydell, David R. J.; Chrétien, Stéphane: Mixtures of GAMs for habitat suitability analysis with overdispersed presence/absence data (2010)
  14. Reiss, Philip T.; Ogden, R. Todd: Functional generalized linear models with images as predictors (2010)
  15. Schomaker, Michael; Wan, Alan T. K.; Heumann, Christian: Frequentist model averaging with missing observations (2010)
  16. Taylan, Pakize; Weber, Gerhard-Wilhelm; Liu, Lian; Yerlikaya-Özkurt, Fatma: On the foundations of parameter estimation for generalized partial linear models with B-splines and continuous optimization (2010)
  17. Wilcox, Rand R.: Comparing non-parametric regression lines via regression depth (2010)
  18. Kneib, Thomas; Hothorn, Torsten; Tutz, Gerhard: Variable selection and model choice in geoadditive regression models (2009)
  19. Lin, Lu; Cui, Xia; Zhu, Lixing: An adaptive two-stage estimation method for additive models (2009)
  20. Ogunjimi, Benson; Hens, Niel; Goeyvaerts, Nele; Aerts, Marc; van Damme, Pierre; Beutels, Philippe: Using empirical social contact data to model person to person infectious disease transmission: An illustration for varicella (2009)

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