Mixed Effects Models For Complex Data

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Mixed Effects Models For Complex Data

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Author : Lang Wu
language : en
Publisher: CRC Press
Release Date : 2009-11-11

Mixed Effects Models For Complex Data written by Lang Wu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-11 with Mathematics categories.

Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate approaches to address dropouts, missing data, measurement errors,

Asymptotic Analysis Of Mixed Effects Models

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Author : Jiming Jiang
language : en
Publisher: CRC Press
Release Date : 2017-09-19

Asymptotic Analysis Of Mixed Effects Models written by Jiming Jiang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-19 with Mathematics categories.

Large sample techniques are fundamental to all fields of statistics. Mixed effects models, including linear mixed models, generalized linear mixed models, non-linear mixed effects models, and non-parametric mixed effects models are complex models, yet, these models are extensively used in practice. This monograph provides a comprehensive account of asymptotic analysis of mixed effects models. The monograph is suitable for researchers and graduate students who wish to learn about asymptotic tools and research problems in mixed effects models. It may also be used as a reference book for a graduate-level course on mixed effects models, or asymptotic analysis.

Generalized Linear Models With Random Effects

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Author : Youngjo Lee
language : en
Publisher: CRC Press
Release Date : 2018-07-11

Generalized Linear Models With Random Effects written by Youngjo Lee and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-11 with Mathematics categories.

This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical basis of the methodology, new developments in variable selection and multiple testing, and new examples and applications. It includes an R package for all the methods and examples that supplement the book.

International Encyclopedia Of Statistical Science

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Author : Miodrag Lovric
language : en
Publisher: Springer Nature
Release Date : 2025-06-19

International Encyclopedia Of Statistical Science written by Miodrag Lovric and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-19 with Mathematics categories.

The International Encyclopedia of Statistical Science stands as a monumental effort to enrich statistics education globally, particularly in regions facing educational challenges. By amalgamating the expertise of over 700 authors from 110 countries, including Nobel Laureates and presidents of statistical societies, it offers an unparalleled resource for readers worldwide. This encyclopedia is not just a collection of entries; it is a concerted effort to revive statistics as a vibrant, critical field of study and application. Providing a comprehensive and accessible account of statistical terms, methods, and applications, it enables readers to gain a quick insight into the subject, regardless of their background. This work serves to refresh and expand the knowledge of researchers, managers, and practitioners, highlighting the relevance and applicability of statistics across various fields, from economics and business to healthcare and public policy. Furthermore, it aims to inspire students by demonstrating the significance of statistics in solving real-world problems, thus encouraging a new generation to explore and contribute to the field.

Analysis Of Mixed Data

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Author : Alexander R. de Leon
language : en
Publisher: CRC Press
Release Date : 2013-01-16

Analysis Of Mixed Data written by Alexander R. de Leon and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-16 with Mathematics categories.

A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods & Applications summarizes the fundamental developments in the field. Case studies are used extensively throughout the book to illustrate interesting applications from economics, medicine and health, marketing, and genetics. Carefully edited for smooth readability and seamless transitions between chapters All chapters follow a common structure, with an introduction and a concluding summary, and include illustrative examples from real-life case studies in developmental toxicology, economics, medicine and health, marketing, and genetics An introductory chapter provides a "wide angle" introductory overview and comprehensive survey of mixed data analysis Blending theory and methodology, this book illustrates concepts via data from different disciplines. Analysis of Mixed Data: Methods & Applications traces important developments, collates basic results, presents terminology and methodologies, and gives an overview of statistical research applications. It is a valuable resource to methodologically interested as well as subject matter-motivated researchers in many disciplines.

Modeling And Analysis Of Longitudinal Data

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Author :
language : en
Publisher: Elsevier
Release Date : 2024-02-20

Modeling And Analysis Of Longitudinal Data written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-20 with Mathematics categories.

Longitudinal Data Analysis, Volume 50 in the Handbook of Statistics series covers how data consists of a series of repeated observations of the same subjects over an extended time frame and is thus useful for measuring change. Such studies and the data arise in a variety of fields, such as health sciences, genomic studies, experimental physics, sociology, sports and student enrollment in universities. For example, in health studies, intra-subject correlation of responses must be accounted for, covariates vary with time, and bias can arise if patients drop out of the study. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Handbook of Statistics series - Updated release includes the latest information on Modeling and Analysis of Longitudinal Data

Industrial Data Analytics For Diagnosis And Prognosis

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Author : Shiyu Zhou
language : en
Publisher: John Wiley & Sons
Release Date : 2021-07-21

Industrial Data Analytics For Diagnosis And Prognosis written by Shiyu Zhou 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 2021-07-21 with Mathematics categories.

Discover data analytics methodologies for the diagnosis and prognosis of industrial systems under a unified random effects model In Industrial Data Analytics for Diagnosis and Prognosis - A Random Effects Modelling Approach, distinguished engineers Shiyu Zhou and Yong Chen deliver a rigorous and practical introduction to the random effects modeling approach for industrial system diagnosis and prognosis. In the book’s two parts, general statistical concepts and useful theory are described and explained, as are industrial diagnosis and prognosis methods. The accomplished authors describe and model fixed effects, random effects, and variation in univariate and multivariate datasets and cover the application of the random effects approach to diagnosis of variation sources in industrial processes. They offer a detailed performance comparison of different diagnosis methods before moving on to the application of the random effects approach to failure prognosis in industrial processes and systems. In addition to presenting the joint prognosis model, which integrates the survival regression model with the mixed effects regression model, the book also offers readers: A thorough introduction to describing variation of industrial data, including univariate and multivariate random variables and probability distributions Rigorous treatments of the diagnosis of variation sources using PCA pattern matching and the random effects model An exploration of extended mixed effects model, including mixture prior and Kalman filtering approach, for real time prognosis A detailed presentation of Gaussian process model as a flexible approach for the prediction of temporal degradation signals Ideal for senior year undergraduate students and postgraduate students in industrial, manufacturing, mechanical, and electrical engineering, Industrial Data Analytics for Diagnosis and Prognosis is also an indispensable guide for researchers and engineers interested in data analytics methods for system diagnosis and prognosis.

Linear Mixed Models An Introduction With Applications In Veterinary Research

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Author : Duchateau, L.
language : en
Publisher: ILRI (aka ILCA and ILRAD)
Release Date : 1998-01-01

Linear Mixed Models An Introduction With Applications In Veterinary Research written by Duchateau, L. and has been published by ILRI (aka ILCA and ILRAD) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-01-01 with categories.

Statistical Tools For Taming Complex Data

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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-03-09

Statistical Tools For Taming Complex Data written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-09 with Science categories.

In the realm of data analysis, "Statistical Tools for Taming Complex Data" emerges as a beacon of clarity and guidance, empowering researchers, data analysts, and practitioners to conquer the challenges of intricate datasets. Embark on a journey through the world of mixed models, unlocking the secrets of complex data and transforming it into actionable knowledge. Delve into the depths of mixed model theory, mastering the concepts of random effects, variance components, and the diverse types of mixed models, including linear mixed models (LMMs), generalized linear mixed models (GLMMs), and nonlinear mixed models (NLMMs). Equip yourself with the skills to select the most appropriate model for your data and research objectives. Confront the complexities of longitudinal data analysis head-on, employing mixed models to capture the dynamic nature of data collected over time. Overcome the hurdles of missing data with effective imputation techniques, ensuring the integrity of your analysis. Embrace the Bayesian paradigm in mixed model analysis, exploring the influence of prior distributions on model results. Harness the power of Markov Chain Monte Carlo (MCMC) methods to delve into Bayesian model estimation and comparison, unlocking a deeper understanding of your data. Delve into the practical aspects of mixed model analysis, gaining proficiency in popular statistical software packages like R, SAS, and SPSS. Master data preprocessing, model diagnostics, and residual analysis, empowering yourself to extract meaningful insights from your data. With "Statistical Tools for Taming Complex Data" as your guide, you will embark on an intellectual odyssey, traversing the frontiers of mixed model analysis and emerging as a master of complex data exploration. Transform your data into actionable knowledge, driving informed decision-making and groundbreaking discoveries. If you like this book, write a review!

Measurement Error In Nonlinear Models

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Author : Raymond J. Carroll
language : en
Publisher: CRC Press
Release Date : 2006-06-21

Measurement Error In Nonlinear Models written by Raymond J. Carroll and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-21 with Mathematics categories.

It's been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field has certainly not cooled in the interim. In fact, quite the opposite has occurred. As a result, Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition has been revamped and ex