Semiparametric Regression (Cambridge Series in Statistical and Probabilistic Mathematics)


Add to cart Add to wishlist Other available formats: Hardback , eBook Looking for an inspection copy? This title is not currently available on inspection. Focus on penalized regression splines as a type of linear mixed model or generalized linear mixed model GLMMs for non-Gaussian response Appeals to a broad and diverse audience Many examples and case studies; liberal use of graphics Concise, modular and user-friendly format. Fahrmeir, Ludwig Maximilian University Biometrics '… contains clear presentations of new developments in the field and also the state of the art in classical methods … I found it an easily readable book; its coverage of material was extensive and well explained and well illustrated … I found the material useful and I recommend it strongly to anyone who is interested in modern nonparametric methods, whether they are expert or not … But here are odd pages of good teaching material, nicely done, culminating in the arc-sine law and the Black-Scholes formula: Log in to review.

How do you rate this item? Reviews must contain at least 12 words about the product. Table of Contents 1. This title is available for institutional purchase via Cambridge Core Cambridge Core offers access to academic eBooks from our world-renowned publishing programme. Saddlepoint Approximations with Applications. Statistical Models Theory and Practice.

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Semiparametric Regression by David Ruppert

This book has been cited by the following publications. This list is generated based on data provided by CrossRef. Durban, Maria Lawlor, Debbie A. Metcalfe, Chris and Tilling, Kate Derivative estimation for longitudinal data analysis: Examining features of blood pressure measured repeatedly during pregnancy. Statistics in Medicine, Vol. Melser, Daniel and Hill, Robert J. Topics in Splines and Applications.

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A design-based approach to small area estimation using a semiparametric generalized linear mixed model. Series A Statistics in Society ,. Using single-index ODEs to study dynamic gene regulatory network.

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Journal of Computational and Graphical Statistics, Vol. Bayesian semiparametric modeling for HIV longitudinal data with censoring and skewness. Statistical Methods in Medical Research, p. Evidence from a Field Experiment in Kenya. They also provide some examples in the bppk.

But even that landmark book is heavily theoretical. Ruppert, Carroll and Wand emphasize applications and provide a number of examples throughout. See all 4 reviews. Feedback If you have a question or problem, visit our Help pages. If you are a seller for this product and want to change product data, click here you may have to sign in with your seller id. There's a problem loading this menu right now.

Semiparametric Regression

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This title is available for institutional purchase via Cambridge Core Cambridge Core offers access to academic eBooks from our world-renowned publishing programme. Semiparametric mixed models; With intelligence and authentic sympathy, he "illuminates the human drama behind the headlines" Publishers Weekly. The second audience the group I would put myself in are the biostatisticians ,econometricians and scientists in other disciplines who have a good working knowledge of regression and want to add the flexibility of semiparametric methods to their arsenal of techniques. One example that comes to my mind is the book on extremes by Leadbetter, Lindgren and Rootzen. If you are a seller for this product and want to change product data, click here you may have to sign in with your seller id. Chapter two goes through the standard linear regression models and the diagnostic checks for those models.