Contemporary Multivariate Analysis and Design of Experiments

封面
World Scientific, 2005 - 469 頁
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This book furthers new and exciting developments in experimental designs, multivariate analysis, biostatistics, model selection and related subjects. It features articles contributed by many prominent and active figures in their fields. These articles cover a wide array of important issues in modern statistical theory, methods and their applications. Distinctive features of the collections of articles are their coherence and advance in knowledge discoveries.
 

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內容

A Conversation with KaiTai Fang
1
A Tribute to Professor KaiTai Fang
23
Multidimensional Variation for QuasiMonte Carlo
49
Higher Order Power Properties of Empirical Discrepancy
75
Some Recent Advances in Twolevel Structural Equation
99
Geometric
121
Modelling MeanCovariance Structures in the Growth
141
On KotzType Elliptical Distributions
159
QuasiRandom Sampling for Estimation of Integrals
257
Agus Sudjianto Xiaoping Du and Wei Chen
270
SchurConvex Discrimination of Designs Using Power
293
An Overview on Variable Selection for Survival Analysis
315
Empirical Likelihood in Survival Analysis
337
Statistical Analysis for Tumor Xenograft Experiments
351
Estimating Secondary Parameters after Termination of
369
Penalized MEstimationBased Model Selection
387

Optimized TwoStep Sequential Type Designs
173
A New Class of Latin Hypercube for Computer Experiments
205
Discrete Discrepancy and Its Application in Experimental
227
Orthogonal Arrays of 2 and 3 levels for Lean Designs
243
A New Transformed TwoSample iTest
427
Index
445
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