Exponential Family Nonlinear Models
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Exponential Family Nonlinear Models
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Author : Bo-Cheng Wei
language : en
Publisher:
Release Date : 1998-09
Exponential Family Nonlinear Models written by Bo-Cheng Wei and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-09 with Mathematics categories.
This book gives a comprehensive introduction to exponential family nonlinear models, which are the natural extension of generalized linear models and normal nonlinear regression models. The differential geometric framework is presented for these models and geometric methods are widely used in this book. This book is ideally suited for researchers in statistical interfaces and graduate students with a basic knowledge of statistics.
Nonlinear Models For Repeated Measurement Data
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Author : Marie Davidian
language : en
Publisher: Routledge
Release Date : 2017-11-01
Nonlinear Models For Repeated Measurement Data written by Marie Davidian and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-01 with Mathematics categories.
Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data. Nonlinear Models for Repeated Measurement Data provides the first unified development of methods and models for data of this type, with a detailed treatment of inference for the nonlinear mixed effects and its extensions. A particular strength of the book is the inclusion of several detailed case studies from the areas of population pharmacokinetics and pharmacodynamics, immunoassay and bioassay development and the analysis of growth curves.
Geometrical Foundations Of Asymptotic Inference
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Author : Robert E. Kass
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-09
Geometrical Foundations Of Asymptotic Inference written by Robert E. Kass and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-09 with Mathematics categories.
Differential geometry provides an aesthetically appealing and oftenrevealing view of statistical inference. Beginning with anelementary treatment of one-parameter statistical models and endingwith an overview of recent developments, this is the first book toprovide an introduction to the subject that is largely accessibleto readers not already familiar with differential geometry. It alsogives a streamlined entry into the field to readers with richermathematical backgrounds. Much space is devoted to curvedexponential families, which are of interest not only because theymay be studied geometrically but also because they are analyticallyconvenient, so that results may be derived rigorously. In addition,several appendices provide useful mathematical material on basicconcepts in differential geometry. Topics covered include thefollowing: * Basic properties of curved exponential families * Elements of second-order, asymptotic theory * The Fisher-Efron-Amari theory of information loss and recovery * Jeffreys-Rao information-metric Riemannian geometry * Curvature measures of nonlinearity * Geometrically motivated diagnostics for exponential familyregression * Geometrical theory of divergence functions * A classification of and introduction to additional work in thefield
Generalized Linear And Nonlinear Models For Correlated Data
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Author : Edward F. Vonesh
language : en
Publisher: SAS Institute
Release Date : 2014-07-07
Generalized Linear And Nonlinear Models For Correlated Data written by Edward F. Vonesh and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-07 with Mathematics categories.
Edward Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the analysis of correlated response data using SAS, with special emphasis on applications that require the use of generalized linear models or generalized nonlinear models. Written in a clear, easy-to-understand manner, it provides applied statisticians with the necessary theory, tools, and understanding to conduct complex analyses of continuous and/or discrete correlated data in a longitudinal or clustered data setting. Using numerous and complex examples, the book emphasizes real-world applications where the underlying model requires a nonlinear rather than linear formulation and compares and contrasts the various estimation techniques for both marginal and mixed-effects models. The SAS procedures MIXED, GENMOD, GLIMMIX, and NLMIXED as well as user-specified macros will be used extensively in these applications. In addition, the book provides detailed software code with most examples so that readers can begin applying the various techniques immediately. This book is part of the SAS Press program.
Statistical Sciences And Data Analysis
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Author : Kameo Matusita
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2020-05-18
Statistical Sciences And Data Analysis written by Kameo Matusita and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-18 with Mathematics categories.
No detailed description available for "Statistical Sciences and Data Analysis".
Nonlinear Models In Medical Statistics
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Author : James K. Lindsey
language : en
Publisher:
Release Date : 2001
Nonlinear Models In Medical Statistics written by James K. Lindsey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Mathematics categories.
This text provides an introduction to the use of nonlinear models in medical statistics, It is a practical text rather than a theoretical one and assumes a basic knowledge in statistical modelling and of generalized linear models. The book first provides a general introduction to nonlinear models, comparing them to generalized linear models. It describes data handling and formula definition and summarises the principal types of nonlinear regression formulae. there is an emphasis on techniques for non-normal data.Following chapters provide detailed examples of applications in various areas of medicine, epidemiology, clinical trials, quality of life, pharmokinetics, pharmacodynamics, assays and formulations, and molecular genetics.The book concludes with appendicies describing data handling and model formulae in more detail, and given ways of modelling dependencies in repeated measurements, and data for the exercises.
Statistical Modelling
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Author : Adriano Decarli
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Statistical Modelling written by Adriano Decarli and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
This volume constitutes the Proceedings of the joint meeting of GLIM89 and the 4th International Workshop on statistical Modelling, held in Trento, Italy, from 17 to 21 July 1989. The meeting aimed to bring together researchers interested in the development and application of generalized linear modelling in GLIM and those interested in statistical modelling in its widest sense. This joint meeting built upon the success of previous workshops held in Innsbruck, perugia and Vienna, and upon the two previous GLIM conferences , GLIM82 and GLIM85. The Proceedings of the latter two being available as numbers 14 and 32 in the springer Verlag series of Lecture Notes in Statistics). Much statistical modelling is carried out using GLIM, as is apparent from many of the papers in these Proceedings; however, the Programme Committee were also keen on encouraging papers which discussed more general modelling techniques. Thus about a third of the papers in this volume are outside the GLIM framework. The Programme Committee specifically requested non-theoretical papers in addition to considering theoretical contributions. Thus there are papers in a wide range of practical areas, such as radio spectral occupancy, comparison of birthweights, intervals between births, accidents of railway workers, genetics, demography, medical trials, the social sciences and insurance. A wide range of theoretical developments are discussed, for example, overdispersion, non-exponential family modelling, novel approaches to analysing contingency tables, random effects models, Kalman Filtering, model checking and extensions of Wedderburn's theoretical underpinning of GLMs.
Latent Variable And Latent Structure Models
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Author : George A. Marcoulides
language : en
Publisher: Psychology Press
Release Date : 2014-04-04
Latent Variable And Latent Structure Models written by George A. Marcoulides and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-04 with Psychology categories.
This edited volume features cutting-edge topics from the leading researchers in the areas of latent variable modeling. Content highlights include coverage of approaches dealing with missing values, semi-parametric estimation, robust analysis, hierarchical data, factor scores, multi-group analysis, and model testing. New methodological topics are illustrated with real applications. The material presented brings together two traditions: psychometrics and structural equation modeling. Latent Variable and Latent Structure Models' thought-provoking chapters from the leading researchers in the area will help to stimulate ideas for further research for many years to come. This volume will be of interest to researchers and practitioners from a wide variety of disciplines, including biology, business, economics, education, medicine, psychology, sociology, and other social and behavioral sciences. A working knowledge of basic multivariate statistics and measurement theory is assumed.
Bias Reduction In Exponential Family Nonlinear Models
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Author :
language : en
Publisher:
Release Date : 2007
Bias Reduction In Exponential Family Nonlinear Models written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Nonlinear Models Labour Markets And Exchange
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Author : John Creedy
language : en
Publisher: Edward Elgar Publishing
Release Date : 2002-07-29
Nonlinear Models Labour Markets And Exchange written by John Creedy and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-07-29 with Business & Economics categories.
Nonlinear Models, Labour Markets and Exchange offers a number of broad introductory surveys in the areas of nonlinear modelling, labour economics and the economic analysis of exchange. This collection of articles consists largely of recently published refereed papers. The early chapters provide an introduction to the analysis of 'chaos and strange attractors' and the use of the very flexible generalised exponential family of frequency distributions in analysing both time series and cross-sectional distributions. The volume then provides syntheses of the theories of internal labour markets, trade union bargaining, and population ageing and its implications. It goes on to survey a range of topics in the broad area of the theory of exchange, which is central to the neoclassical economic model. Finally, the book provides some advice for students who are about to start their first piece of research. It ends with a unique survey of the history of economic analysis. Providing introductory material and syntheses of a wide range of topics, Nonlinear Models, Labour Markets and Exchange will be welcomed by economics academics and researchers interested in labour economics and econometrics.