Advances in statistical modeling and inference : essays in by Vijay Nair PDF

By Vijay Nair

ISBN-10: 9812708294

ISBN-13: 9789812708298

This can be a selection of Professor L. Faddeev's vital lectures, papers and talks. a few haven't been released sooner than and others are translated right here for the 1st time from Russian into English there were significant advancements within the box of information during the last region century, spurred through the fast advances in computing and data-measurement applied sciences. those advancements have revolutionized the sector and feature tremendously stimulated study instructions in concept and method. elevated computing energy has spawned fullyyt new parts of study in computationally-intensive equipment, permitting us to maneuver clear of narrowly appropriate parametric options in line with restrictive assumptions to even more versatile and lifelike types and techniques. those computational advances have als.  Read more... Preface; Contents; Kjell Doksum: family members, profession, and Contributions; recollections of a 40-year Friendship Peter J. Bickel; half zero: records and football; half 1: Survival research; half 2: Reliability innovations; half three: Semiparametric tools; half four: Transformation types; half five: Nonparametric Regression; half 6: Clustering and mix types; half 7: Bayesian Nonparametric Inference; half eight: Rank-Based equipment; half nine: Monte Carlo and Resampling equipment; half 10: limited Inference; topic Index

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Extra resources for Advances in statistical modeling and inference : essays in honor of Kjell A. Doksum

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119] Pan, J. , Fang, K. T. and D. von Rosen (1998). On the posterior distribution of the covariance matrix of the growth curve model. Statist. & Prob. Letters 38 33-39. , Liang, Y. , Jiang, J. , Yu, R. Q. T. (1998). Uniform design applied to nonlinear multivariate calibration by ANN. Analytica Chemica Acta 370 65-77. [121] Fang, K. , Liang, J. J. and Li, R. Z. (1998). A multivariate version of Ghosh's T3~plot detect non-multinormality. Computational Stat. and Data Analysis 28 371-386. [122] Tian, G.

Statistica Sinica 9 905-912. [129] Wu, R. and Fang, K. T. (1999). A risk model with delay in claim settlement. Ada math. Appl. Sinica 15 352-360. [130] Pan, J. X. and Fang, K. T. (1999). Bayesian local influence in growth curve model with unstructured covariance. Biometrical J. 41 641-658. 2000 [131] Fang, K. T. and Yang, Z. H. (2000). On uniform design of experiments with restricted mixtures and generation of uniform distribution on some domains. Statist, k Prob. 2 113-120. [132] Xie, M. Y. and Fang, K.

Korean Statist. Society 31 1-23. , Fang, K. T. and Ma, C. X. (2002). Sequential number-theoretic algorithm for optimization to the evaluation of form errors. In Proceedings of The 3rd International Conference on Quality and Reliability (A. J. ) 203-208. RMIT University, Melbourne, Australia. [166] Fang, K. , Ge, G. N. and Liu, M. Q. (2002). Construction on •E(/ivOD)-optimal supersaturated designs via room squares. In Calcutta Statistical Association Bulletin Vol 52 (A. Chaudhuri and M. ) 71-84.

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