Applied regression analysis bibliography update 1988-89

DOI10.1080/03610929008830257zbMath0900.62340OpenAlexW2984166247MaRDI QIDQ3135298

Norman R. Draper

Publication date: 17 October 1993

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929008830257

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) General reference works (handbooks, dictionaries, bibliographies, etc.) pertaining to statistics (62-00)

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Uses Software

• GLIM
• nlpe

Cites Work

• A General Approach to Analyzing Epidemiologic Data that Contain Misclassification Errors
• On the admissibility and consistency of tests for homogeneity of variances
• Min-max bias robust regression
• Calculating selected elements of the inverse of symmetric positive definite matrices
• On the distribution of bivariate F-variable
• Formula manipulation in statistics on the computer: Evaluating the expectation of higher-degree functions of normally distributed matrices
• A modified iterative proportional scaling algorithm for estimation in regular exponential families
• A heuristic parameter estimation procedure for a binary dependent variable regression model
• Order statistics of the generalized logistic distribution
• Regression quantiles and trimmed least squares estimator in the nonlinear regression model
• Algorithms for unconstrained \(L_ 1\) simple linear regression
• A property of the observations fit by the extreme regression quantiles
• Impact of simultaneous omission of a variable and an observation on a linear regression equation
• Mixtures of linear regressions
• Bounded isotonic median regression
• Least orthogonal absolute deviations
• A new technique for curve fitting based on minimum absolute deviations
• All possible subset regressions using the QR decomposition
• Applications of the jackknife procedure in ridge regression
• Assessing the accuracy of ANOVA calculations in statistical software
• The four-measure influence plot
• Diagnosing collinearity-influential observations
• The use of asymmetric power transformation in data-based quasi-likelihood analysis
• Fitting dose-response data with non-zero backgrounds within generalized linear and generalized additive models
• On the structure of multivariate concentration. Some relationships among the concentration surface and two variate mean difference and regressions
• Goal programming becomes most useful using \(L_ 1\)-smoothing functions
• Edgeworth expansions for bootstrapping regression models
• On projection pursuit regression
• Concavity and estimation
• On M-processes and M-estimation
• On the relation between S-estimators and M-estimators of multivariate location and covariance
• Optimal unbiased estimation of variance components
• Fitting generalized linear models and their nonlinear extensions with least squares calculations
• Maximum likelihood estimation in models with two systematic parts
• Confidence regions in multivariate calibration
• The nonexistence of \(100(1-\alpha)\%\) confidence sets of finite expected diameter in errors-in-variables and related models
• On preliminary test and shrinkage M-estimation in linear models
• Testing for lack of fit in nonlinear regression
• Monotone nonparametric regression
• Heteroscedasticity-robustness of jackknife variance estimators in linear models
• Optimum tests in unbalanced two-way models without interaction
• Rank regression
• Robust nonparametric regression with simultaneous scale curve estimation
• Empirical processes based upon residuals from errors-in-variables regressions
• Spherical regression for concentrated Fisher-von Mises distributions
• Spherical regression with errors in variables
• Estimation for the nonlinear functional relationship
• Simultaneous estimation and prediction using the expected coverage measure criterion
• Minimax properties of M-, R- and L-estimators of location in Lévy neighbourhoods
• Universal domination and stochastic domination: U-admissibility and U- inadmissibility of the least squares estimator
• Asymptotics with increasing dimension for robust regression with applications to the bootstrap
• Lack-of-fit tests based on near or exact replicates
• On Hotelling's formula for the volume of tubes and Naiman's inequality
• Prediction of future observations in growth curve models. With discussion and a reply by the author
• Rank based robust analysis of linear models. I: Exposition and review. With comments and a rejoinder by the author
• The unifying role of iterative generalized least squares in statistical algorithms. With comments by Bent Jørgensen, Peter McCullagh, Joe R. Hill and a rejoinder by the author
• Adaptive \(L\)-estimation for linear models
• Regression analysis under link violation
• Convergence and consistency results for self-modeling nonlinear regression
• On polynomial-based projection indices for exploratory projection pursuit
• Logistic Regression Methods for Retrospective Case-Control Studies Using Complex Sampling Procedures
• The Effect of Estimating Weights in Weighted Least Squares
• Score Tests for Homogeneity of Regression Effect in the Proportional Hazards Model
• Incorporating Prior Information into the Analysis of Contingency Tables
• A Concordance Correlation Coefficient to Evaluate Reproducibility
• Use and Abuse of Variance Models in Regression
• Estimation and comparison of Changes in the Presence of Informative Right Censoring: Conditional Linear Model
• Signed Residuals
• Best Subsets Logistic Regression
• Properties of the Geometric Mean Functional Relationship
• Mixed-Model Analysis of a Censored Normal Distribution with Reference to Animal Breeding
• One Degree of Freedom for Nonadditivity: Applications with Generalized Linear Models and Link Functions
• Models for Longitudinal Data: A Generalized Estimating Equation Approach
• The Efficiency of Simulation-Based Multiple Comparisons
• Using Recursive Residuals, Calculated on Adaptively-Ordered Observations, to Identify Outliers in Linear Regression
• Correlated Binary Regression with Covariates Specific to Each Binary Observation
• Markov Regression Models for Time Series: A Quasi-Likelihood Approach
• The Use of a Mixture Model in the Analysis of Count Data
• Observations on a Stochastic Model for Quantal Assay Data
• Analysis of a Toxicological Experiment Using a Generalized Linear Model with Nested Random Effects
• Growth Curve Models of Repeated Binary Response
• A Note on Comparing Growth Rates of Animals between Groups
• A Lifetime Asymptotic Growth Curve for Human Height
• Exact Inference for Matched Case-Control Studies
• A Monte Carlo Investigation of Homogeneity Tests of the Odds Ratio under Various Sample Size Configurations
• Biases in Prevalent Cohorts
• Estimation and Analysis of Survival Distributions for Radio-Tagged Animals
• Nonparametric Estimation of Duration of Accrual and Total Study Length for Clinical Trials
• Random-Effect Models in Nonlinear Regression with Applications to Bioassay
• Statistical Analysis of the Michaelis-Menten Equation
• Modelling Ant-Insect Interactions on Flowerheads of Helichrysum bracteatum
• Consistent Estimation of Site Index Curves Fitted to Temporary Plot Data
• A Model-Based Approach to Tree Ring Analysis
• Kalman Filter Analysis in Dendroclimatology
• On Errors-in-Variables in Binary Regression-Berkson Case
• The Robust Inference for the Cox Proportional Hazards Model
• Duality of I Projections and Maximum Likelihood Estimation for Log-Linear Models Under Cone Constraints
• Investigating Smooth Multiple Regression by the Method of Average Derivatives
• Hooker and Yule on Relative Importance: A Statistical Detective Story
• Bayesian Inference for Ratios of Coefficients in a Linear Model
• A Unifying Approach to Nonparametric Regression Estimation
• Bayesian Variable Selection in Linear Regression
• Patterned matrix derivatives
• The likelihood ratio test for a change-point in simple linear regression
• Mallows-Type Bounded-Influence-Regression Trimmed Means
• Restricted unbiased iterative generalized least-squares estimation
• A Class of Logistic Regression Models for Multivariate Binary Time Series
• On the effect of correlation and unequal variances in detecting a spurious observation
• A Bayesian approach to some overdispersion models
• The Equivalence of Backward Elimination and Multiple Comparisons
• De l'unicité des estimateurs robustes en régression lorsque le paramètre d'échelle et le paramètre de la régression sont estimés simultanément
• Conditionally Unbiased Bounded-Influence Estimation in General Regression Models, with Applications to Generalized Linear Models
• Principal Curves
• Transformations to Symmetry and Homoscedasticity
• A mixed poisson–inverse‐gaussian regression model
• Assessing influence on regression coefficients in generalized linear models
• Testing odds-ratio equality for several diseases
• Estimation of Delay Times in Stochastic Compartmental Models
• Using Latent Class Models to Characterize and Assess Relative Error in Discrete Measurements
• Simultaneous-Equation Estimation in a Clinical Trial of the Effect of Smoking on Birth Weight
• The Kernel Estimate of a Regression Function in Likelihood-Based Models
• Some Asymptotic Results for Learning in Single Hidden-Layer Feedforward Network Models
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• On Adaptive M-Regression
• Statistical Behaviour of the GMDH Algorithm
• Chi-Square Tests for Overdispersion with Multiparameter Estimates
• A Combined Approach to Contingency Table Analysis Using Correspondence Analysis and Log-Linear Analysis
• On Hotelling's Approach to Testing for a Nonlinear Parameter in Regression
• The Asymptotic Distribution of Nonlinear Regression Parameter Estimates: Improving the Approximation
• Modified Profile Likelihood in Transformed Linear Models
• Use of Regression Models to Estimate Genetic Parameters and Measures of Familial Resemblance in Man
• On the Analysis of Categorical Variables by Linear Models having Singular Covariance Matrices
• Power/Sample Size Calculations for Generalized Linear Models
• Assessing Partial Influence in Generalized Linear Models
• Multiple-Group Logistic Regression Diagnostics
• Fit Assessment and Identification of Functional Form in Logistic Regression
• Logistic Regression for Dependent Binary Observations
• Sampling Distributions of Post-Sample Forecasting Errors
• Significance Testing for Correlated Binary Outcome Data
• Testing for Correlated Errors in the Analysis of Variance
• Mixed Poisson Likelihood Regression Models for Longitudinal Interval Count Data
• Confidence Bands for Logistic Regression with Restricted Predictor Variables
• Regression Trees for Censored Data
• A Model for Agreement Between Ratings on an Ordinal Scale
• Stability of Genotypes in Intercropping
• Modelling Insect Natality Using Splines
• Log-Linear Models for Capture-Recapture
• Models for the Statistical Analysis of Infectious Disease Data
• Analyzing Repeated Measures on Generalized Linear Models via the Bootstrap
• Poisson Regression with a Surrogate X; An Analysis of Vitamin A and Indonesian Children's Mortality
• Effects of Treatment-Induced Mortality and Tumor-Induced Mortality on Tests for Carcinogenicity in Small Samples
• Determination of anaerobic threshold
• Robust and consistent estimates of autoregressive-moving average parameters
• Parameter plots in nonlinear regression
• Least-Absolute-Value Prediction Lines in Closed Form
• On testing for serial correlation in large numbers of small samples
• Negative binomial and mixed poisson regression
• Residuals for relative risk regression
• The loss in efficiency from misspecifying covariates in proportional hazards regression models
• Asymmetry of estimators in nonlinear regression
• Masking effect on tests for outliers in normal samples
• Estimates and confidence intervals for median and mean life in the proportional hazard model
• A conservative test and confidence region for comparing heteroscedastic regressions
• Likelihood inference for linear regression models
• An asymptotic theory for weighted least-squares with weights estimated by replication
• A note on design when response has an exponential family distribution
• Tests for no treatment effect in randomized clinical trials
• Logistic regression for two-stage case-control data
• Penalized Likelihood for General Semi-Parametric Regression Models
• An extension of the growth curve model
• Standard errors resilient to error variance misspecification
• More on score tests for transformation in regression
• How Nearly Can Model-Based Prediction and Design-Based Estimation Be Reconciled?
• Logistic Regression, Survival Analysis, and the Kaplan-Meier Curve
• Criteria for the equality between ordinary least squares and best linear unbiased estimators under certain linear models
• Bayesian nonparametric smoothers for regular processes
• An Approach to Inference Following Model Selection With Applications to Transformation-Based and Adaptive Inference
• High Breakdown-Point Estimates of Regression by Means of the Minimization of an Efficient Scale
• Computing Distributions for Exact Logistic Regression
• The Power Function of Conditional Log-Linear Model Tests
• The Reduction of the Width of Confidence Bands in Linear Regression
• Prediction and Estimation of Growth Curves With Special Covariance Structures
• Variance Function Estimation
• Simultaneous Tolerance Intervals for the Linear Regression Model
• Heteroscedastic Nonlinear Regression
• Conditional logistic regression models for correlated binary data
• Transformations Unmasked
• Variance functions and the minimum detectable concentration in assays
• Rank regression with log gamma residuals
• M-quantiles
• A theorem of Jacobi and its generalization
• The asymptotic relative efficiency of score tests in a generalized linear model with surrogate covariates
• Testing for normal errors in designs with many blocks
• Analyzing Dispersion Effects from Replicated Factorial Experiments
• The Expectation of the Likelihood Ratio Criterion
• On the classical choice of variance stabilizing transformations and an application for a Poisson variate
• A Bayesian approach to outlier detection and residual analysis
• Measures of dependence for censored survival data
• A Bayesian Approach to Nonlinear Calibration Problems
• A Nonparametric Approach to the Truncated Regression Problem
• Estimation and Testing in a Two-Sample Generalized Odds-Rate Model
• The Analysis of Multivariate Contingency Tables by Restricted Canonical and Restricted Association Models
• Some remarks on the use of improper priors for the analysis of exponential regression models
• Improved likelihood ratio statistics for exponential family nonlinear models
• Likelihood estimation of a simple linear regression model when both variables have error
• Moderating effects of subgroups in linear models
• On the use of nonparametric regression for model checking
• Robust estimation in the errors-in-variables model
• Estimation of an Asymmetrical Density from Several Small Samples
• A Quick and Easy Multiple-Use Calibration-Curve Procedure
• An Approximate Test for Comparing Heteroscedastic Regression Models
• Deviance residuals and normal scores plots
• The identifiability of the competing risks model
• Recursive improvement of estimates in a Gauss-Markov model with linear restrictions
• Recent Advances in Nonlinear Experimental Design
• A comparison of asymptotically equivalent test statistics for regression transformation
• A strongly consistent procedure for model selection in a regression problem
• Quasi-Likelihood and Optimal Estimation, Correspondent Paper
• Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data
• Approximations for Regression with Covariate Measurement Error
• Flexible Parsimonious Smoothing and Additive Modeling
• Tables and Large-Sample Distribution Theory for Censored-Data Correlation Statistics for Testing Normality
• Optimal Rates of Convergence for Deconvolving a Density