Advances in statistical modeling and inference: essays in honor of Kjell A.Doksum / ed. by V.Nair. - Hackensack: World sci., 2007. - xxiv, 673 p.: ill. - (Series in biostatistics; vol.3). - Incl. bibl. ref. - Sub. ind.: p.671-673. - Пер. загл.: Достижения в области статистического моделирования и статистических выводов. - ISBN 978-981-270-369-9  Место хранения:   02 | Отделение ГПНТБ СО РАН | Новосибирск

Оглавление / Contents

Preface ......................................................... v Kjell Doksum: Family, Career, and Contributions ................ xv Reminiscences of a 40-year Friendship ....................... xxiii Peter J. Bichel Part 0: Statistics and Soccer ................................... 1 1 Modelling Some Norwegian Soccer Data ......................... 3 David R. Brillinger Part 1: Survival Analysis ...................................... 21 2 Stochastic Processes in Survival Analysis ................... 23 Odd O. Aålen & Hakon K. Gjessing 3 Correspondences Between Regression Models for Complex Binary Outcomes and Those for Structured Multivariate Survival Analyses ........................................... 45 Nicholas P. Jewell 4 Using Martingale Residuals to Assess Goodness-of-Fit for Sampled Risk Set Data ....................................... 65 0rnulf Borgern & Bryan Langholz Part 2: Reliability Techniques ................................. 91 5 Reliability and Survival in Financial Risk .................. 93 Nozer D. Singpurwalla 6 Signature-Related Results on System Lifetimes .............. 115 Henry W. Block, Michael R. Dugas & Francisco J. Samaniego 7 Stochastic Orders Based on Total Time on Test Transform .... 131 Xiaohu Li & Moshe Shaked Part 3: Semiparametric Methods ................................ 145 8 Adaptively Denoising Discrete Two-Way Layouts .............. 147 Rudolf Beran 9 Inferences for Varying-Coefficient Partially Linear Models with Serially Correlated Errors ............................ 175 Jihong You & Jiancheng Jiang 10 Semi-Linear Index Model When the Linear Covariates and Indices are Independent .................................... 197 Yun Sam Chong, Jane-Ling Wang & Lixing Zhu 11 On Single Index Regression Models for Multivariate Survival Times ............................................. 223 Probal Chaudhuri 12 Aggregation of Density Estimators and Dimension Reduction .. 233 Alexander Samarov & Alexandre Tsybakov Part 4: Transformation Models ................................. 253 13 A Sturm-Liouville Problem in Semiparametric Transformation Models ...................................... 255 Chris A. J. Klaassen 14 Estimation for the Semiparametric Transformation Model for Survival Data and Extensions ..................... 277 Thomas H. Scheike 15 Statistical Issues Involved with Extending Standard Models ..................................................... 299 Jeremy M.G. Taylor & Ning Liu Part 5: Nonparametric Regression .............................. 313 l6 Linearly Unbiased Estimation of Conditional Moment and Correlation Functions .................................. 315 Hans-Georg Müller 17 Serial Autoregression and Regression Rank Scores Statistics ................................................. 335 Marc Hallin, Jana Jureckovд & Hira L. Koul 18 A New Convolution Estimator for Nonparametric Regression ... 363 Board Støve & Dag Tjøstheim Part 6: Clustering and Mixture Models ......................... 385 19 Semiparametric and Nonparametric Gene Mapping .............. 387 Fei Zou, Brian S. Yandell & Jason P. Fine 20 Model-Based Clustering and Weighted Chinese Restaurant Processes .................................................. 405 John W. Lau & Albert Y. Lo 21 Neutral-to-the-Right Species Sampling Mixture Models ....... 425 Lancelot F. James Part 7: Bayesian Nonparametric Inference ...................... 441 22 Nonparametric Bayesian Inference about Percentiles ......... 443 Richard A. Johnson & Songyong Sim 23 Nonparametric Quantile Inference Using Dirichlet Processes .................................................. 463 Nils Lid Hjort & Sonía Petrone Part 8: Rank-Based Methods .................................... 493 24 Asymptotic Distribution Theory of Empirical Rank-Dependent Measures of Inequality ..................................... 495 Rolf Aaberge 25 A Modified Kendall Rank-Order Association Test for Evaluating the Repeatability of Two Studies with a Large Number of Objects .......................................... 513 Tian Zheng & Shaw-Hwa Lo 26 Rank Process, Stochastic Corridor and Applications to Finance .................................................... 529 Ryozo Miura Part 9: Monte Carlo and Resampling Methods .................... 543 27 Conditional Monte Carlo Based on Sufficient Statistics with Applications .......................................... 545 Henry Lindqvist & Gunnar Taraldsen 28 Further Explorations of Likelihood Theory for Monte Carlo Integration ................................................ 563 Augustine Kong, Peter McCullagh, Xiao-Li Meng & Dan L. Nicolae 29 Confidence Nets for Curves ................................. 593 Tore Schweder Part 10: Constrained Inference ................................ 611 30 Density Estimation by Total Variation Regularization ....... 613 Roger Koenker & Ivan Mizera 31 A Note on the Bounded Normal Mean Problem .................. 635 Jianqing Fan & Jin-Ting Zhang 32 Estimation of Symmetric Distributions Subject to a Peakedness Order ........................................... 649 Javier Rojo & José Batún-Cutz Subject Index ................................................. 671