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Statistical Modelling and Regression Structures

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Cover of 'Statistical Modelling and Regression Structures'

Table of Contents

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    Book Overview
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    Chapter 1 The Smooth Complex Logarithm and Quasi-Periodic Models
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    Chapter 2 P-spline Varying Coefficient Models for Complex Data
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    Chapter 3 Penalized Splines, Mixed Models and Bayesian Ideas
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    Chapter 4 Bayesian Linear Regression — Different Conjugate Models and Their (In)Sensitivity to Prior-Data Conflict
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    Chapter 5 An Efficient Model Averaging Procedure for Logistic Regression Models Using a Bayesian Estimator with Laplace Prior
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    Chapter 6 Posterior and Cross-validatory Predictive Checks: A Comparison of MCMC and INLA
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    Chapter 7 Statistical Modelling and Regression Structures
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    Chapter 8 Generalized Semiparametric Regression with Covariates Measured with Error
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    Chapter 9 Determinants of the Socioeconomic and Spatial Pattern of Undernutrition by Sex in India: A Geoadditive Semi-parametric Regression Approach
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    Chapter 10 Boosting for Estimating Spatially Structured Additive Models
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    Chapter 11 Generalized Linear Mixed Models Based on Boosting
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    Chapter 12 Measurement and Predictors of a Negative Attitude towards Statistics among LMU Students
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    Chapter 13 Graphical Chain Models and their Application
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    Chapter 14 Indirect Comparison of Interaction Graphs
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    Chapter 15 Statistical Modelling and Regression Structures
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    Chapter 16 Ordinal- and Continuous-Response Stochastic Volatility Models for Price Changes: An Empirical Comparison
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    Chapter 17 Copula Choice with Factor Credit Portfolio Models
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    Chapter 18 Penalized Estimation for Integer Autoregressive Models
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    Chapter 19 Bayesian Inference for a Periodic Stochastic Volatility Model of Intraday Electricity Prices
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    Chapter 20 Online Change-Point Detection in Categorical Time Series
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    Chapter 21 Multiple Linear Panel Regression with Multiplicative Random Noise
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    Chapter 22 A Note on Using Multiple Singular Value Decompositions to Cluster Complex Intracellular Calcium Ion Signals
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    Chapter 23 On the self-regularization property of the EM algorithm for Poisson inverse problems
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    Chapter 24 Sequential Design of Computer Experiments for Constrained Optimization
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Title
Statistical Modelling and Regression Structures
Published by
Physica-Verlag HD, January 2010
DOI 10.1007/978-3-7908-2413-1
ISBNs
978-3-79-082412-4, 978-3-79-082413-1
Editors

Kneib, Thomas, Tutz, Gerhard

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Cuba 1 1%
Netherlands 1 1%
Denmark 1 1%
Unknown 62 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 25%
Student > Master 12 18%
Researcher 9 13%
Professor 5 7%
Professor > Associate Professor 4 6%
Other 12 18%
Unknown 9 13%
Readers by discipline Count As %
Mathematics 16 24%
Agricultural and Biological Sciences 7 10%
Economics, Econometrics and Finance 7 10%
Social Sciences 5 7%
Environmental Science 4 6%
Other 15 22%
Unknown 14 21%