Application of the Parametric Bootstrap to Models that Incorporate a Singular Value Decomposition
Journal of the Royal Statistical Society Series C (Applied Statistics)Published 1 January 1995
Luís Aparecido Milan, Joe Whittaker
Citations89
SJR quartileQ2
SJR score0.65
SNIP0.78
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Luis Milan, Joe Whittaker, Application of the Parametric Bootstrap to Models that Incorporate a Singular Value Decomposition, Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 44, No. 1 (1995), pp. 31-49
Keywords
ChemistryMathematicsBiochemistry, Genetics and Molecular Biology
The Annals of StatisticsBootstrap Methods: Another Look at the Jackknife
17,446 Citations1979B. Efron
BiometrikaSome distance properties of latent root and vector methods used in multivariate analysis
4,017 Citations1966J. C. Gower
TechnometricsAspects of Multivariate Statistical Theory
3,357 Citations1984Leon Jay Gleser, Robb J. Muirhead
Introduction to matrix computations
2,396 Citations1973G. W. Stewart
Rounding-Error Analysis of Solution of Triangular Systems and of Gaussian Elimination.
BiometricsPrinciples of Multivariate Analysis, A User's Perspective.
1,094 Citations1989Kathleen Kocherlakota, S. Kocherlakota +1 more
The New S Language
575 Citations2018Richard A. Becker, John M. Chambers +1 more
This book provides documentation for a new version of the S system released in 1988, which enhances the features that have made S popular: interactive computing, flexible graphics, data management and a large collection of functions.
International Statistical ReviewSome Useful Extensions of the Usual Correspondence Analysis Approach and the Usual Log-Linear Models Approach in the Analysis of Contingency Tables
249 Citations1986Leo A. Goodman
Journal of the Royal Statistical Society Series B (Statistical Methodology)Least Squares Approximation of Matrices by Additive and Multiplicative Models
222 Citations1978K. R. Gabriel
Journal of the Royal Statistical Society Series B (Statistical Methodology)Studies in the Robustness of Multidimensional Scaling: Procrustes Statistics
194 Citations1978Robin Sibson
The Computer JournalConstructing the convex hull of a set of points in the plane
67 Citations1979P. J. Green
Journal of the American Statistical AssociationConstrained Maximum Likelihood Exemplified by Isotonic Convex Logistic Regression
60 Citations1991Charles J. Geyer
Methods for maximum likelihood estimates in problems in which the likelihood is smooth and the parameter space is defined by linear or smooth nonlinear inequality constraints can be obtained using available nonlinear optimization packages, such as NPSOL.
Journal of Archaeological ScienceBootstrapping and correspondence analysis in archaeology
53 Citations1992Trevor J. Ringrose
A method which allows a certain amount of “significance” to be attached to the spread of points on a Correspondence Analysis display is described, and the results of a simulation study are presented which gives important information concerning the properties of this method.
Journal of the Royal Statistical Society Series B (Statistical Methodology)A Sample Reuse Method for Accurate Parametric Empirical Bayes Confidence Intervals
51 Citations1991Bradley P. Carlin, Alan E. Gelfand
BiometricsNonparametric Confidence and Tolerance Regions in Canonical Variate Analysis
28 Citations1989W. J. Krzanowski, Duncan Radley
Statistics and ComputingSimulation study of confidence regions for canonical variate analysis
8 Citations1991Trevor J. Ringrose, W. J. Krzanowski
BiometrikaCanonical mean projections and confidence regions in canonical variate analysis
7 Citations1990James R. Schott