Semiparametric Estimation of the Generalized Regression Model
Author | : Jooheon Park |
Publisher | : |
Total Pages | : 276 |
Release | : 1990 |
Genre | : |
ISBN | : |
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Author | : Jooheon Park |
Publisher | : |
Total Pages | : 276 |
Release | : 1990 |
Genre | : |
ISBN | : |
Author | : M. Bonneu |
Publisher | : |
Total Pages | : 56 |
Release | : 1996 |
Genre | : |
ISBN | : |
Author | : Robert Gilchrist |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 1985-10-14 |
Genre | : Mathematics |
ISBN | : 9780387962245 |
This volume consists of the published proceedings of the GLIM 95 Conference, held at Lancaster University, UK, from 16-19 September 1995. This is the second of such proceedings, the first of which was published as No 14 of the Springer-Verlag Lecture Notes in Statistics (Gilchrist, ed,1992). Since the 1992 conference there has been a modest update of the GLIM system, called GLIM 3.77. This incorporates some minor but pleasant enhancements and these are outlined in these proceedings by payne and Webb. With the completion of GLIM 3.77, future developments of the GLIM system are again under active review. Aitkin surveys possible directions for GLIM. one sOlMlWhat different avenue for analysing generalized linear models is provided by the GENSTAT system; Lane and payne discuss the new interactive facilities p ided by version 5 of GENSTAT. On the theory Side, NeIder extends the concept and use of quasi-likelihood, giving useful forms of variance function and a method of introducing a random element into the linear predictor. Longford discusses one approach to the analysis of clustered observations (subjects within groups). Green and Yandell introduce 'semi-parametric modelling', allowing a compromise between parametriC and non-parametriC modelling. They modify the linear predictor by the addition of a ( smooth) curve, and estimate parameters by maximising a penalised log-likelihood. Hastie and Tibshirani introduce generalized additive models, introducing a linear predictor of the form 11 = (X + Efj(xj), with the fj estimated from the data by a weighted average of neighbouring observations.
Author | : Wolfgang Karl Härdle |
Publisher | : Springer Science & Business Media |
Total Pages | : 317 |
Release | : 2012-08-27 |
Genre | : Mathematics |
ISBN | : 364217146X |
The statistical and mathematical principles of smoothing with a focus on applicable techniques are presented in this book. It naturally splits into two parts: The first part is intended for undergraduate students majoring in mathematics, statistics, econometrics or biometrics whereas the second part is intended to be used by master and PhD students or researchers. The material is easy to accomplish since the e-book character of the text gives a maximum of flexibility in learning (and teaching) intensity.
Author | : David Ruppert |
Publisher | : Cambridge University Press |
Total Pages | : 408 |
Release | : 2003-07-14 |
Genre | : Mathematics |
ISBN | : 9780521785167 |
Even experts on semiparametric regression should find something new here.
Author | : Jaroslaw Harezlak |
Publisher | : Springer |
Total Pages | : 331 |
Release | : 2018-12-12 |
Genre | : Mathematics |
ISBN | : 1493988530 |
This easy-to-follow applied book on semiparametric regression methods using R is intended to close the gap between the available methodology and its use in practice. Semiparametric regression has a large literature but much of it is geared towards data analysts who have advanced knowledge of statistical methods. While R now has a great deal of semiparametric regression functionality, many of these developments have not trickled down to rank-and-file statistical analysts. The authors assemble a broad range of semiparametric regression R analyses and put them in a form that is useful for applied researchers. There are chapters devoted to penalized spines, generalized additive models, grouped data, bivariate extensions of penalized spines, and spatial semi-parametric regression models. Where feasible, the R code is provided in the text, however the book is also accompanied by an external website complete with datasets and R code. Because of its flexibility, semiparametric regression has proven to be of great value with many applications in fields as diverse as astronomy, biology, medicine, economics, and finance. This book is intended for applied statistical analysts who have some familiarity with R.
Author | : William A. Barnett |
Publisher | : Cambridge University Press |
Total Pages | : 512 |
Release | : 1991-06-28 |
Genre | : Business & Economics |
ISBN | : 9780521424318 |
Papers from a 1988 symposium on the estimation and testing of models that impose relatively weak restrictions on the stochastic behaviour of data.
Author | : Steven Durlauf |
Publisher | : Springer |
Total Pages | : 365 |
Release | : 2016-06-07 |
Genre | : Literary Criticism |
ISBN | : 0230280811 |
Specially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within this compendium covers the fundamental themes within the discipline and is written by a leading practitioner in the field. A handy reference tool.
Author | : Wolfgang Härdle |
Publisher | : Springer Science & Business Media |
Total Pages | : 210 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 3642577008 |
In the last ten years, there has been increasing interest and activity in the general area of partially linear regression smoothing in statistics. Many methods and techniques have been proposed and studied. This monograph hopes to bring an up-to-date presentation of the state of the art of partially linear regression techniques. The emphasis is on methodologies rather than on the theory, with a particular focus on applications of partially linear regression techniques to various statistical problems. These problems include least squares regression, asymptotically efficient estimation, bootstrap resampling, censored data analysis, linear measurement error models, nonlinear measurement models, nonlinear and nonparametric time series models.
Author | : |
Publisher | : |
Total Pages | : 38 |
Release | : 1993 |
Genre | : |
ISBN | : |