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Recent Advances in Linear Models and Related Areas

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Cover of 'Recent Advances in Linear Models and Related Areas'

Table of Contents

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    Book Overview
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    Chapter 1 On the Identification of Trend and Correlation in Temporal and Spatial Regression
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    Chapter 2 Estimating the Number of Clusters in Logistic Regression Clustering by an Information Theoretic Criterion
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    Chapter 3 Quasi Score and Corrected Score Estimation in the Polynomial Measurement Error Model
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    Chapter 4 Estimation and Finite Sample Bias and MSE of FGLS Estimator of Paired Data Model
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    Chapter 5 Prediction of Finite Population Total in Measurement Error Models
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    Chapter 6 The Vector Cross Product and 4 × 4 Skew-symmetric Matrices
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    Chapter 7 Simultaneous Prediction of Actual and Average Values of Response Variable in Replicated Measurement Error Models
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    Chapter 8 Local Sensitivity in the Inequality Restricted Linear Model
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    Chapter 9 Boosting Correlation Based Penalization in Generalized Linear Models
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    Chapter 10 Simultaneous Prediction Based on Shrinkage Estimator
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    Chapter 11 Finite Mixtures of Generalized Linear Regression Models
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    Chapter 12 Higher-order Dependence in the General Power ARCH Process and the Role of Power Parameter
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    Chapter 13 Regression Calibration for Cox Regression Under Heteroscedastic Measurement Error — Determining Risk Factors of Cardiovascular Diseases from Error-prone Nutritional Replication Data
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    Chapter 14 Homoscedastic Balanced Two-fold Nested Model when the Number of Sub-classes is Large
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    Chapter 15 QR-Decomposition from the Statistical Point of View
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    Chapter 16 On Penalized Least-Squares: Its Mean Squared Error and a Quasi-Optimal Weight Ratio
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    Chapter 17 Optimal Central Composite Designs for Fitting Second Order Response Surface Linear Regression Models
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    Chapter 18 Does Convergence Really Matter?
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    Chapter 19 OLS-Based Estimation of the Disturbance Variance Under Spatial Autocorrelation
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    Chapter 20 Application of Self-Organizing Maps to Detect Population Stratification
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    Chapter 21 Optimal Designs for Microarray Experiments with Biological and Technical Replicates
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    Chapter 22 Weighted Mixed Regression Estimation Under Biased Stochastic Restrictions
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    Chapter 23 Coin Tossing and Spinning – Useful Classroom Experiments for Teaching Statistics
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    Chapter 24 Linear Models in Credit Risk Modeling
Attention for Chapter 17: Optimal Central Composite Designs for Fitting Second Order Response Surface Linear Regression Models
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Citations

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Chapter title
Optimal Central Composite Designs for Fitting Second Order Response Surface Linear Regression Models
Chapter number 17
Book title
Recent Advances in Linear Models and Related Areas
Published by
Physica-Verlag HD, January 2008
DOI 10.1007/978-3-7908-2064-5_17
Book ISBNs
978-3-79-082063-8, 978-3-79-082064-5
Authors

Sung Hyun Park, Hyuk Joo Kim, Jae-Il Cho

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 2%
Turkey 1 2%
India 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 29%
Student > Bachelor 7 14%
Student > Master 5 10%
Student > Doctoral Student 4 8%
Researcher 3 6%
Other 10 20%
Unknown 6 12%
Readers by discipline Count As %
Engineering 15 31%
Agricultural and Biological Sciences 7 14%
Chemistry 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Chemical Engineering 2 4%
Other 8 16%
Unknown 11 22%

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