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Technical Reports from 1999

General Department Series

These reports are supported primarily by grants from the National Science Foundation.


Report
Number
Author(s) Title
1999-01 P. Diaconis
R. Graham
S. Holmes
Statistical Problems Involving Permutations with Restricted Positions
1999-02 D.M. Bravata
I. Olkin
A.E. Barnato
E.B. Keeffe
D.K. Owens
Health-Related Quality of Life After Liver Transplantation: A Meta-Analysis
1999-03 A.W. Marshall
J.C. Meza
I. Olkin
Can Data Recognize Its Parent Distribution?
1999-04 D. Aldous
P. Diaconis
Longest Increasing Subsequences: From Patience Sorting to the Baik-Deift-Johansson Theorem
1999-05 L.J. Gleser
I. Olkin
Meta-Analysis for 2X2 Tables with Multiple Treatment Groups
1999-06 P. Diaconis
L. Saloff-Coste
Bounds for Kac's Master Equation
1999-07 T.W. Anderson Canonical Correlations Analysis and Reduced Rank Regression in Autoregressive Models
1999-08 D. Ormoneit
S. Sen
Kernel-Based Reinforcement Learning
1999-09 D.N. Politis
J.P. Romano
M. Wolfe
Subsampling, Symmetrization, and Robust Interpolation
1999-10 D.N. Politis
J.P. Romano
M. Wolfe
On the Asymptotic Theory of Subsampling
1999-11 D. Ormoneit
T. Hastie
Optimal Kernel Shapes for Local Linear Regression
1999-12 L. Seymour Regression with Periodically Correlated Errors: A New Model for Plant Growth
1999-13 D.L. Donoho
X. Huo
Uncertainty Principles and Ideal Atomic Decomposition
1999-14 M. Brezzi
T.L. Lai
Incomplete Learning from Endogenous Data in Dynamic Allocation
1999-15 V.H. de la Pena
T.L. Lai
Theory and Applications of Decoupling
1999-16 H.P. Chan
T.L. Lai
Asymptotic Approximations for Error Probabilities of Sequential or Fixed Sample Size Tests in Exponential Families
1999-17 D.M. Bravata
I. Olkin
A.E. Barnato
E.B. Keeffe
D.K. Owens
Employent and Alcohol Use After Liver Transplantation for Alcoholic and Nonalcoholic Liver Disease: A Systematic Review
1999-18 X. Huo Sparse Image Representation via Combined Transforms
1999-19B B. Efron The Bootstrap and Modern Statistics
1999-20B B. Efron Selection Criteria for Scatterplot Smoothers
1999-21 R. Pemantle
M.C. Wilson
Asymptotics of Multivariate Sequences, Part I: Smooth Points of the Singular Variety
1999-22 J.P. Romano
M. Wolf
Subsampling Intervals in Autoregressive Models with Linear Time Trend
1999-23 J. An
A. Owen
Quasi-Regression
1999-24 A. Owen Assessing Linearity in High Dimensions
1999-25 A. Owen
Y. Zhou
Adaptive Importance Sampling by Mixtures of Products of Beta Distributions
1999-26 E.J. Candes On the Representation of Mutilated Sobolev Functions
1999-27 E.J. Candes Ridgelets: Estimating with Ridge Functions
1999-28 E.J. Candes
D.L. Donoho
Curvelets: A Surprisingly Effective Nonadaptive Representation for Objects with Edges
1999-29 J.G. Kahn
B.J. Becker
L. MacIsaac
J.K. Amory
J. Neuhaus
I. Olkin
M.D. Creinin
The Efficacy of Medical Abortion: A Meta-Analysis
1999-30 E.A. Engels
C.H. Schmid
N. Terrin
I. Olkin
J. Lau
Heterogeneity and Statistical Significance in Meta-Analysis: An Empirical Study of 125 Meta-Analyses
1999-31 A.W. Marshall
I. Olkin
F. Pukelsheim
Apportionment of Seats in Proportional Representation Systems: A Majorization Comparison of Divisor Methods
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Biostatistics Series

These reports are supported primarily by grants from the Public Health Service/ National Institutes of Health.


Report
Number
Author(s) Title
BIO 201 R. Tibshirani
L. Lazzeroni
T. Hastie
R.A. Olshen
D. Cox
The Global Pairwise Approach to Radiation Hybrid Mapping
BIO 202 J. Halpern
B.W. Brown, Jr.
J. Hornberger
The Sample Size for a Clinical Trial: A Bayesian Approach
BIO 203 C.A. Sugar
L.A. Lenert
R.A. Olshen
An Application of Cluster Analysis to Health Services Research: Empirically Defined Health States for Depression from the SF-12
BIO 204 G. James
T. Hastie
Principal Component Models for Sparse Functional Data
BIO 205 N. Crellin
T. Hastie
I. Johnstone
Statistical Models for Image Sequences
BIO 206 B. Efron The Bootstrap and Modern Statistics
[also issued as 1999-19B in the General Series]
BIO 207 B. Efron Selection Criteria for Scatterplot Smoothers [also issued as 1999-20B in the General Series]
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