Journal of the Royal Statistical Society. Series B, Statistical Methodology 1998: Vol 60 Index

5 Pages·1998·1.1 MB·English

J. R. Statist. Soc. B (1998)
60, Part4 , pp. 814-816
index of authors, volume 60, 1998
{bramovich, F., Sapatinas, T. and Silverman, B. W. Wavelet thresholding via a Bayesian
approach
Aitkin, M. Simpson’s paradox and the Bayes factor
Anderson, C. W. See under Nadarajah, S
Bennett, K. E. See under Firth, D
Britton, T. Estimation in multitype epidemics
Brown, P. J., Vannucci, M. and Fearn, T. Multivariate Bayesian variable selection and pre-
diction
Chakraborty, B. and Chaudhuri, P. On an adaptive transformation—retransformation estimate
of multivariate location
Chambers, R. L., Dorfman, A. H. and Wang, S. Limited information likelihood analysis of
survey data
Chaudhuri, P. See under Chakraborty, B
Cheng, C.-L. and Schneeweiss, H. Polynomial regression with errors in the variables
Cheng, M.-Y. and Hall, P. Calibrating the excess mass and dip tests of modality
Clayton, D., Spiegelhalter, D., Dunn, G. and Pickles, A. Analysis of longitudinal binary data
from multiphase sampling
Copas, J. See under Eguchi, S
Czado, C. See under Munk, A
Dawid, A. P. See under Skouras, K
Denison, D. G. T., Mallick, B. K. and Smith, A. F. M. Automatic Bayesian curve fitting
Dette, H. and Munk, A. Testing heteroscedasticity in nonparametric regression
Deite, H., Munk, A. and Wagner, T. Estimating the variance in nonparametric regression
what is a reasonable choice?
Dorfman, A. H. See under Chambers, R. L
Dunn, G. See under Clayton, D
van Dyk, D. See under Meng, X.-L
Eguchi, S. and Copas, J. A class of local likelihood methods and near-parametric asymptotics
Fan, J., Farmen, M. and Gijbels, I. Local maximum likelihood estimation and inference
Farmen, M. See under Fan, J
Fearn, T. See under Brown, P. J
Firth, D. and Bennett, K. E. Robust models in probability sampling
Forster, J. J. and Smith, P. W. F. Model-based inference for categorical survey data subject to
non-ignorable non-response
Gasser, Th., Hall, P. and Presnell, B. Nonparametric estimation of the mode of a distribution
of random curves
Gijbels, I. See under Fan, J
Goldstein, H. See under Pfeffermann, D
Goutis, C. Second-derivative functional regression with applications to near infra-red spec-
troscopy
Green, P. J. See under Pievatolo, A
See under Richardson, S
Hall, P. See under Cheng, M.-}
See under Gasser, Th
Haslett, J. and Hayes, K. Residuals for the linear model with general covariance structure
Hayes, K. See under Haslett, J
He, X., Ng, P. and Portnoy, S. Bivariate quantile smoothing splines
Heffernan, P. M. Acknowledgement of priority: Unbiased estimation of central moments by
using U-statistics
© 1998 Royal Statistical Society 1369-74 12/98/60814
J. R. Statist. Soc. B (1998)
60, Part4 , pp. 814-816
index of authors, volume 60, 1998
{bramovich, F., Sapatinas, T. and Silverman, B. W. Wavelet thresholding via a Bayesian
approach
Aitkin, M. Simpson’s paradox and the Bayes factor
Anderson, C. W. See under Nadarajah, S
Bennett, K. E. See under Firth, D
Britton, T. Estimation in multitype epidemics
Brown, P. J., Vannucci, M. and Fearn, T. Multivariate Bayesian variable selection and pre-
diction
Chakraborty, B. and Chaudhuri, P. On an adaptive transformation—retransformation estimate
of multivariate location
Chambers, R. L., Dorfman, A. H. and Wang, S. Limited information likelihood analysis of
survey data
Chaudhuri, P. See under Chakraborty, B
Cheng, C.-L. and Schneeweiss, H. Polynomial regression with errors in the variables
Cheng, M.-Y. and Hall, P. Calibrating the excess mass and dip tests of modality
Clayton, D., Spiegelhalter, D., Dunn, G. and Pickles, A. Analysis of longitudinal binary data
from multiphase sampling
Copas, J. See under Eguchi, S
Czado, C. See under Munk, A
Dawid, A. P. See under Skouras, K
Denison, D. G. T., Mallick, B. K. and Smith, A. F. M. Automatic Bayesian curve fitting
Dette, H. and Munk, A. Testing heteroscedasticity in nonparametric regression
Deite, H., Munk, A. and Wagner, T. Estimating the variance in nonparametric regression
what is a reasonable choice?
Dorfman, A. H. See under Chambers, R. L
Dunn, G. See under Clayton, D
van Dyk, D. See under Meng, X.-L
Eguchi, S. and Copas, J. A class of local likelihood methods and near-parametric asymptotics
Fan, J., Farmen, M. and Gijbels, I. Local maximum likelihood estimation and inference
Farmen, M. See under Fan, J
Fearn, T. See under Brown, P. J
Firth, D. and Bennett, K. E. Robust models in probability sampling
Forster, J. J. and Smith, P. W. F. Model-based inference for categorical survey data subject to
non-ignorable non-response
Gasser, Th., Hall, P. and Presnell, B. Nonparametric estimation of the mode of a distribution
of random curves
Gijbels, I. See under Fan, J
Goldstein, H. See under Pfeffermann, D
Goutis, C. Second-derivative functional regression with applications to near infra-red spec-
troscopy
Green, P. J. See under Pievatolo, A
See under Richardson, S
Hall, P. See under Cheng, M.-}
See under Gasser, Th
Haslett, J. and Hayes, K. Residuals for the linear model with general covariance structure
Hayes, K. See under Haslett, J
He, X., Ng, P. and Portnoy, S. Bivariate quantile smoothing splines
Heffernan, P. M. Acknowledgement of priority: Unbiased estimation of central moments by
using U-statistics
© 1998 Royal Statistical Society 1369-74 12/98/60814
Index of Authors
Hodges, J. S. Some algebra and geometry for hierarchical models, applied to diagnostics (with
discussion)
Contributors to the discussion:
A. C. Atkinson, 521; R. Christensen, 531; D. R. Cox, 531; F. Critct
529; D. Draper, 527; W. K. Fung, 531; A. Gelman, 532; H. Gu, 5:
Leonard, 530; N. T. Longford, 527; J. A. Nelder, 526; J.-X. Pan, 53
Sargent, 533; P. J. Solomon, 531; J. Wakefield, 523; J. Whittaker, ‘
Holmes, D. J. See under Pfeffermann D
Hong, Y. Testing for pairwise serial independence via the empirical distribution function
Hurvich, C. M., Simonoff, J. S. and Tsai, C.-L. Smoothing parameter selection in nonpara-
metric regression using an improved Akaike information criterion
Jones, M. C. and Young, G. A. Report of the Editors — 1997
Kohn, R. See under Smith, M
Li, G. and Qin, J. Semiparametric likelihood-based inference for biased and truncated data
when the total sample size is known
Li, X. See under Ramsay, J. O
Linton, O. B. See under Nielsen, J. P
Lipsitz, S. R., Zhao, L. P. and Molenberghs, G. A semiparametric method of
tation
Louis, T. A. See under Shen, W
Luceno, A. Detecting possibly non-consecutive outliers in industrial time series
Magee, L. Improving survey-weighted least squares regression
Mallick, B. K. See under Denison, D. G. T
Meeting on ‘Design and analysis of complex sample surveys’
Contributors to the discussion
K. E. Bennett, 52; D. A. Binder, 45, 46; K. Brewer, 46; R. L. Chambers, 41, 93; D. Clayton
100; M. P. Cohen, 47;I . Deltour, 93; M. E. Dewey, 94; A. H. Dorfman, 45; D. Draper,
96; G. Dunn, 100; J. L. Eltinge, 47, 95; D. Firth, 52; J. Forster, 98; J. 1. Galbraith, 94;
Ghosh, 48; H. Goldstein, 54; B. I. Graubard, 50; S. Haslett, 48; D. F. Heitjan, 95; T. ¢
Hesterberg, 49; D. J. Holmes, 54; E. L. Korn, 50; R. J. Little, 44; N. T. Longford, 44, 89; T
Maiti, 48; G. Molenberghs, 95; S. Nadarajah, 50; M. C. Paik, 96; D. Pfeffermann, 54; A
Pickles, 100; G. M. Raab, 90; J. N. K. Rao, 50; J. Rasbash, 54; S. Richardson, 93; G. R
Roberts, 50; J. M. Robins, 51, 91; A. Rotnitzky, 51;C . J. Skinner, 54; P. W. Smith, 98; D
Spiegelhalter, 100; R. A. Sugden, 43; N. Wang, 91
Meng, X.-L. and van Dyk, D. Fast EM-type implementations for mixed effects models
Molenberghs, G. See under Lipsitz, S. R
Muliere, P. and Walker, S. Extending the family of Bayesian bootstraps and exchangeable 1
schemes
Munk, A. See under Dette, H
Munk, A. and Czado, C. Nonparametric validation of similar distributions and assessment of
goodness of fit
Nadarajah, S., Anderson, C. W. and Tawn, J. A. Ordered multivariate extremes
Ne, P. See under He, X
Nicholls, G. K. Bayesian image analysis with Markov chain Monte Carlo and coloured con
tinuum triangulation models
Nielsen, J. P. and Linton, O. B. An optimization interpretation of integration and back-fitting
estimators for separable nonparametric models
Pfeffermann, D. See under Singh, A. C
Pfeffermann, D., Skinner, C. J., Holmes, D. J.. Goldstein, H. and Rasbash
unequal selection probabilities in multilevel models
Pickles, A. See under Clayton, D
Pievatolo, A. and Green, P. J. Boundary detection through dynamic polygons
Portnoy, S. See under He, X
Presnell, B. See under Gasser, Th
Qin, J. See under Li, G
Ramsay, J. O. Estimating smooth monotone functions
Ramsay, J. O. and Li, X. Curve registration
816 Index of Authors
Rasbash, J. See under Pfeffermann, D
Richardson, S. and Green, P. J. Corrigendum: On Bayesian analysis of mixtures with an
unknown number of components
Roberts, G. O. and Rosenthal, J. S. Optimal scaling of discrete approximations to Langevin
diffusions
Ronchetti, E. See under Welsh, A. H
Rosenthal, J. S. See under Roberts, G. O
Sapatinas, T. See under Abramovich, F
Schneeweiss, H. See under Cheng C.-[
Shen, W. and Louis, T. A. Triple-goal estimates in two-stage hierarchical models
Shi, P. and Tsai, C.-L. A note on the unification of the Akaike information criterion
Silverman, B. W. See under Abramovich, F
Simonoff, J. S. See under Hurvich, C. M
Singh, A. C., Stukel, D. M. and Pfeffermann, D. Bayesian versus frequentist measures of error
in small area estimation
Skinner, C. J. See under Pfeffermann, D
Skouras, K. and Dawid, A. P. On efficient point prediction systems
Smith, A. F. M. See under Denison, D. G. T
Smith, M., Wong, C.-M. and Kohn, R. Additive nonparametric regression with autocorrelated
errors
Smith, P. W. F. See under Forster, J. J
Spiegelhalter, D. See under Clayton, D
Stockis, J.-P. and Tong, H. Qn the statistical inference of a machine-generated autoregressive
AR(1) model
Stukel, D. M. See under Singh, A. ¢
Tawn, J. A. See under Nadarajah, S
Tong H. See under Stockis, J.-P
Tsai, C.-L. See under Hurvich, C. M
See under Shi, P
Vannucci, M. See under Brown
‘Vagner, T. See under Dette, H
Walker, S. See under Muliers P
Wang, S. See under Chambers, R. I
Wang, Y. Mixed effects smoothing spline analysis of variance
Welsh, A. H. and Ronchetti, I Bias-calibrated estimation from sample surveys containing
outliers
Wong, ¢ M. See under Smith, M
Yia, Y. Bias-corrected confidence bands in nonparametric regression
Yee, T. W. On an alternative solution to the vector spline problem
Young, G. A. See under Jones, M. (¢
Zhao, L. P. See under Lipsitz, S. R