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Author : M. Bonneu
Publisher :
ISBN 13 :
Total Pages : 56 pages
Book Rating : 4.:/5 (897 download)
Download or read book Semiparametric Estimation of Generalized Linear Models and Related Models written by M. Bonneu and published by . This book was released on 1996 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Wolfgang Karl Härdle
Publisher : Springer Science & Business Media
ISBN 13 : 364217146X
Total Pages : 317 pages
Book Rating : 4.6/5 (421 download)
Download or read book Nonparametric and Semiparametric Models written by Wolfgang Karl Härdle and published by Springer Science & Business Media. This book was released on 2012-08-27 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Robert Gilchrist
Publisher : Springer
ISBN 13 : 9780387962245
Total Pages : 0 pages
Book Rating : 4.9/5 (622 download)
Download or read book Generalized Linear Models written by Robert Gilchrist and published by Springer. This book was released on 1985-10-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Erning Li
Publisher :
ISBN 13 :
Total Pages : 76 pages
Book Rating : 4.:/5 (64 download)
Download or read book Estimation for Generalized Linear Models when Covariates are Subject-specific Parameters in a Mixed Model for Longitudinal Measurements written by Erning Li and published by . This book was released on 2004 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keywords: Generalized linear model, Semiparametric, Longitudinal data, Mixed effects model, Regression calibration, Measurement error, Conditional estimation, Seminonparametric density.
Author : P. McCullagh
Publisher : Routledge
ISBN 13 : 1351445855
Total Pages : 532 pages
Book Rating : 4.3/5 (514 download)
Download or read book Generalized Linear Models written by P. McCullagh and published by Routledge. This book was released on 2019-01-22 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and ot
Author : Rodney Victor Croos-Dabrera
Publisher :
ISBN 13 :
Total Pages : 292 pages
Book Rating : 4.:/5 (319 download)
Download or read book Graphical Analysis of Curvature in Semiparametric Generalized Linear Models written by Rodney Victor Croos-Dabrera and published by . This book was released on 1994 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Danping Liu
Publisher :
ISBN 13 : 9781361417072
Total Pages : pages
Book Rating : 4.4/5 (17 download)
Download or read book Semiparametric Methods in Generalized Linear Models for Estimating Population Size and Fatality Rate written by Danping Liu and published by . This book was released on 2017-01-27 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "Semiparametric Methods in Generalized Linear Models for Estimating Population Size and Fatality Rate" by Danping, Liu, 劉丹平, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled SEMIPARAMETRIC METHODS IN GENERALIZED LINEAR MODELS FOR ESTIMATING POPULATION SIZE AND FATALITY RATE Submitted by LIU Danping for the degree of Master of Philosophy at The University of Hong Kong in August 2005 Thisthesisinvestigatestheextensionsandapplicationsofgeneralizedlinear models by incorporating nonparametric and semiparametric frameworks. The nonparametrictoolsallowtheestimationofanonlinearcurve, whilesemipara- metric methods are used to separate the e(R)ect of covariates from unexplained trend e(R)ects. Kernel smoothing methods were used to extend the Poisson log linearapproachtotheestimationofthesizeofpopulationusingmultipleliststo an open population when the multiple lists were recorded at each time point. The approach is based on a two-step procedure. In the rst step log-linear models were used to estimate the mean number of unlisted addicts at each time point. The estimated total number of addicts, which is the sum of the listed and unlisted addicts, is supposed to be a smooth function of time and a kernel smoothing method was then applied to produce smooth estimates. Thee(R)ect of exogenous factors was considered using a semiparametric model. A prole kernel estimating equation approach was adopted to obtain the explicit expressionoftheinterestedparametersaswellastheirstandarderrors. Asim- ulation study revealed the proposed estimators and their estimated variances give reliable estimates and the resulting approximate condence intervals are close to their nominal coverage probabilities. A model for an age and time dependent fatality rate of a disease was proposed. The age e(R)ect recognizes that individuals of di(R)erent ages may have di(R)erent fatality rates, but these were assumed to vary smoothly with age. The time dependence allows for timedependente(R)ectssuchaslearninge(R)ectsinthetreatmentofdiseasesand increased fatality rates when the hospital system is chaotic, especially in the early part of an emerging epidemic. DOI: 10.5353/th_b3616459 Subjects: Population - Statistical methods Mortality - Statistical methods Parameter estimation
Author : Annette J. Dobson
Publisher : CRC Press
ISBN 13 : 1584889519
Total Pages : 316 pages
Book Rating : 4.5/5 (848 download)
Download or read book An Introduction to Generalized Linear Models written by Annette J. Dobson and published by CRC Press. This book was released on 2008-05-12 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Models, Third Edition provides a cohesive framework for statistical modeling. This new edition of a bestseller has been updated with Stata, R, and WinBUGS code as well as three new chapters on Bayesian analysis. Like its predecessor, this edition presents the theoretical background of generalized linear models (GLMs) before focusing on methods for analyzing particular kinds of data. It covers normal, Poisson, and binomial distributions; linear regression models; classical estimation and model fitting methods; and frequentist methods of statistical inference. After forming this foundation, the authors explore multiple linear regression, analysis of variance (ANOVA), logistic regression, log-linear models, survival analysis, multilevel modeling, Bayesian models, and Markov chain Monte Carlo (MCMC) methods. Using popular statistical software programs, this concise and accessible text illustrates practical approaches to estimation, model fitting, and model comparisons. It includes examples and exercises with complete data sets for nearly all the models covered.
Author : W. Härdle
Publisher : Springer Science & Business Media
ISBN 13 : 9783540675457
Total Pages : 536 pages
Book Rating : 4.6/5 (754 download)
Download or read book XploRe® - Application Guide written by W. Härdle and published by Springer Science & Business Media. This book was released on 2000-11-16 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a detailed application guide to XploRe - an interactive statistical computing environment. As a guide it contains case studies of real data analysis situations. It helps the beginner in statistical data analysis to learn how XploRe works in real life applications. Many examples from practice are discussed and analysed in full length. Great emphasis is put on a graphic based understanding of the data interrelations. The case studies include: Survival modelling with Cox's proportional hazard regression, Vitamin C data analysis with Quantile Regression, and many others.
Author : Wolfgang Härdle
Publisher : Springer Science & Business Media
ISBN 13 : 3642577008
Total Pages : 210 pages
Book Rating : 4.6/5 (425 download)
Download or read book Partially Linear Models written by Wolfgang Härdle and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : George Tzavelas
Publisher :
ISBN 13 :
Total Pages : 210 pages
Book Rating : 4.:/5 (34 download)
Download or read book Parameter Estimation written by George Tzavelas and published by . This book was released on 1994 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jaroslaw Harezlak
Publisher : Springer
ISBN 13 : 1493988530
Total Pages : 331 pages
Book Rating : 4.4/5 (939 download)
Download or read book Semiparametric Regression with R written by Jaroslaw Harezlak and published by Springer. This book was released on 2018-12-12 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Peter J. Green
Publisher :
ISBN 13 :
Total Pages : 20 pages
Book Rating : 4.:/5 (227 download)
Download or read book Semi-Parametric Generalized Linear Models written by Peter J. Green and published by . This book was released on 1985 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: This document considers generalized linear models in which the linear predictor is of additive semi-parametric form, linear in most of the explanatory variables but with an arbitrary functional dependence on the remainder. Estimation of the parameters and the non-parametric curve in the model is approached by maximizing a penalized likelihood. Two explicit iterative algorithms are presented. The first, which operates in O(n) time per iteration, applies where there is just one variable entering the model in a non-parametric fashion, and an integrated squared second derivative penalty is used. An example in logistic regression of tumour prevalence is given. The second algorithm is for the much more general case of a regression model specified as an arbitrary composite log-likelihood function, permitting nonlinear dependence and several splined variables. Keywords: Maximum penalized likelihood estimation; Nonlinear regression; Splines. (Author).
Author : P.J. Green
Publisher : CRC Press
ISBN 13 : 9780412300400
Total Pages : 198 pages
Book Rating : 4.3/5 (4 download)
Download or read book Nonparametric Regression and Generalized Linear Models written by P.J. Green and published by CRC Press. This book was released on 1993-05-01 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, there has been a great deal of interest and activity in the general area of nonparametric smoothing in statistics. This monograph concentrates on the roughness penalty method and shows how this technique provides a unifying approach to a wide range of smoothing problems. The method allows parametric assumptions to be realized in regression problems, in those approached by generalized linear modelling, and in many other contexts. The emphasis throughout is methodological rather than theoretical, and it concentrates on statistical and computation issues. Real data examples are used to illustrate the various methods and to compare them with standard parametric approaches. Some publicly available software is also discussed. The mathematical treatment is self-contained and depends mainly on simple linear algebra and calculus. This monograph will be useful both as a reference work for research and applied statisticians and as a text for graduate students and other encountering the material for the first time.
Author : Annette J. Dobson
Publisher : CRC Press
ISBN 13 : 1351726218
Total Pages : 354 pages
Book Rating : 4.3/5 (517 download)
Download or read book An Introduction to Generalized Linear Models written by Annette J. Dobson and published by CRC Press. This book was released on 2018-04-17 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods. This new edition of a bestseller has been updated with new sections on non-linear associations, strategies for model selection, and a Postface on good statistical practice. Like its predecessor, this edition presents the theoretical background of generalized linear models (GLMs) before focusing on methods for analyzing particular kinds of data. It covers Normal, Poisson, and Binomial distributions; linear regression models; classical estimation and model fitting methods; and frequentist methods of statistical inference. After forming this foundation, the authors explore multiple linear regression, analysis of variance (ANOVA), logistic regression, log-linear models, survival analysis, multilevel modeling, Bayesian models, and Markov chain Monte Carlo (MCMC) methods. Introduces GLMs in a way that enables readers to understand the unifying structure that underpins them Discusses common concepts and principles of advanced GLMs, including nominal and ordinal regression, survival analysis, non-linear associations and longitudinal analysis Connects Bayesian analysis and MCMC methods to fit GLMs Contains numerous examples from business, medicine, engineering, and the social sciences Provides the example code for R, Stata, and WinBUGS to encourage implementation of the methods Offers the data sets and solutions to the exercises online Describes the components of good statistical practice to improve scientific validity and reproducibility of results. Using popular statistical software programs, this concise and accessible text illustrates practical approaches to estimation, model fitting, and model comparisons.
Author : Annette J. Dobson
Publisher :
ISBN 13 : 9781000205633
Total Pages : 225 pages
Book Rating : 4.2/5 (56 download)
Download or read book An Introduction to Generalized Linear Models written by Annette J. Dobson and published by . This book was released on 2002 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generalized linear models provide a unified theoretical and conceptual framework for many of the most commonly used statistical methods. In the ten years since publication of the first edition of this bestselling text, great strides have been made in the development of new methods and in software for generalized linear models and other closely related models.Thoroughly revised and updated, An Introduction to Generalized Linear Models, Second Edition continues to initiate intermediate students of statistics, and the many other disciplines that use statistics, in the practical use of these models and methods. The new edition incorporates many of the important developments of the last decade, including survival analysis, nominal and ordinal logistic regression, generalized estimating equations, and multi-level models. It also includes modern methods for checking model adequacy and examples from an even wider range of application. Statistics can appear to the uninitiated as a collection of unrelated tools. An Introduction to Generalized Linear Models, Second Edition illustrates how these apparently disparate methods are examples or special cases of a conceptually simple structure based on the exponential family of distribution, maximum likelihood estimation, and the principles of statistical modelling.
Author : Danping Liu
Publisher :
ISBN 13 :
Total Pages : 206 pages
Book Rating : 4.:/5 (712 download)
Download or read book Semiparametric Methods in Generalized Linear Models for Estimating Population Size and Fatality Rate written by Danping Liu and published by . This book was released on 2005 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:
