Nonparametric Regression Methods for Longitudinal Data Analysis by Hulin Wu
Incorporates mixed-effects modeling techniques for more powerful and efficient methods This book presents current and effective nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling techniques into various nonparametric regression models.-
Introductory Statistics for Business and Economics
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Biostatistics
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Applied Longitudinal Analysis
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Applied Econometric Times Series
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Sample Size Determination and Power
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Introduction to Linear Regression Analysis
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Statistical Methods for Survival Data Analysis
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Bayesian Analysis for the Social Sciences
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An Elementary Introduction to Statistical Learning Theory
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The Statistical Analysis of Failure Time Data
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Regression Models for Time Series Analysis
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Statistical Rules of Thumb
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Bayesian Theory
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Graphical Models in Applied Multivariate Statistics
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Loss Models
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Aspects of Multivariate Statistical Theory
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Fundamentals of Queueing Theory
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Statistics of Extremes
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Applied Econometric Time Series
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Structural Equations with Latent Variables
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Nonparametric Statistical Methods
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Applied Linear Regression
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Models for Investors in Real World Markets
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Regression Analysis by Example
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Directional Statistics
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Statistical Intervals
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An Introduction to Probability Theory and Its Applications, Volume 2
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System Reliability Theory
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An Introduction to Categorical Data Analysis
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Markov Decision Processes
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Design and Analysis of Clinical Trials
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Applied Logistic Regression
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Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
can serve as a textbook for both undergraduate and graduate studentsAlso it will help researchers in this area...[because of its] comprehensive coverage of the materials. (Mathematical Reviews, 2007b) ...an excellent survey of many of the nonparametric regression techniques used in longitudinal studies...highly recommended. (CHOICE, October 2006)
HULIN WU, PHD, is Professor of Biostatistics in the School of Medicine and Dentistry at the University of Rochester in the Departments of Medicine; Community and Preventative Medicine; and Biostatistics and Computational Biology. His research interests include longi-tudinal data, HIV/AIDS modeling, biomedical informatics, and clinical trials.
JIN-TING ZHANG, PHD, is Assistant Professor in the Department of Statistics and Applied Probability at the National University of Singapore. His research interests include nonparametric regression and density estimation, nonparametric mixed-effects modeling, functional data analysis, and longitudinal data analysis, among others.
| SKU | Unavailable |
| ISBN 13 | 9780471483502 |
| ISBN 10 | 0471483508 |
| Title | Nonparametric Regression Methods for Longitudinal Data Analysis |
| Author | Hulin Wu |
| Series | Wiley Series In Probability And Statistics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Wiley-Interscience |
| Year published | 2006-05-23 |
| Number of pages | 400 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |