APPLIED REGRESSION ANALYSIS BIBLIOGRAPHY UPDATE 2000–2001

The 25-page Bibliography in Applied Regression Analysis, 2nd edition, by N.R. Draper and H. Smith, published by John Wiley and Sons in 1981, was previously extended by these publications: 1. Applied Regression Analysis Bibliography Update 1988-89. Communications in Statistics, Theory and Methods 1990, 19(4), 1205 1229. 2. Applied Regression Analysis Bibliography Update 1990-91. Communications in Statistics. Theory and Methods 1992, 21(9), 2415-2437. 3. Applied Regression Analysis Bibliography Update 1992-93. Commuications in Statistics. Theory and Methods 1994, 23(9), 2701-2731. The subheadings in 1-3 match the chapter headings of the 2nd Edition. The subheadings of 4 and 5 below, and of the present Bibliography for 2000-2001, are reclassified to match the chapter headings of Applied Regression Analysis, 3rd Edition, published by John Wiley and Sons, in 1998. 4. Applied Regression Analysis Bibliography Update 1994-97. Communications in Statistics. Theory and Methods 1998, 27(10), 2581-2623. 5. Applied Regression Analysis Bibliography Update 1998-99. Communications in Statistics. Theory and Methods 2000, 29(9&10), 2313-2341. 6. This Bibliography for 2000-2001. Items were chosen on the basis of their perceived relevance to practical applications (sometimes rather widely interpreted). The references were selected mostly from the issues of these journals: Annals of Statistics; Biometrika; Bulletin of the International Statistical Institute; Canadian Journal of Statistics; Communications in Statistics--Simulation and Computation; Communications in Statistics-Theory and Methods; Journal of the American Statistical Association; Journal of Quality Technology; Journal of the Royal Statistical Society, Series A, B, C and D; and Technometrics. This will be the last of these updates to be published in Communications in Statistics and I am grateful to the Editors for their long-lasting courtesy.

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[12]  E. Frees.  Omitted variables in longitudinal data models , 2001 .

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[14]  T. Louis,et al.  A Note on Marginal Linear Regression with Correlated Response Data , 2000 .

[15]  J. Preater,et al.  CALIBRATION USING A PIECEWISE SIMPLE LINEAR REGRESSION MODEL , 2001 .

[16]  Gauss M. Cordeiro,et al.  SKEWNESS FOR PARAMETERS IN GENERALIZED LINEAR MODELS , 2001 .

[17]  E. Ronchetti,et al.  Robust Inference for Generalized Linear Models , 2001 .

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[26]  A note on the moments of stochastic shrinkage parameters in ridge regression , 2000 .

[27]  Peter M. Hooper.  Flexible regression modeling , 2001 .

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[29]  Radek Krpec,et al.  Stochastic algorithms in nonlinear regression , 2000 .

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[36]  Michael G. Schimek,et al.  Smoothing and Regression: Approaches, Computation, and Application , 2000 .

[37]  Jan Ámos Víšek,et al.  On the diversity of estimates , 2000 .

[38]  Wenjiang J. Fu.  Ridge estimator in singulah oesiun with application to age-period-cohort analysis of disease rates , 2000 .

[39]  Gwowen Shieh,et al.  The Inequality Between the Coefficient of Determination and the Sum of Squared Simple Correlation Coefficients , 2001 .

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[43]  Yi-Hau Chen.  Miscellanea. A robust imputation method for surrogate outcome data , 2000 .

[44]  M. Bhaskara Rao,et al.  Model Selection and Inference , 2000, Technometrics.

[45]  E. Langford,et al.  Is the Property of Being Positively Correlated Transitive? , 2001 .

[46]  M. Aldrin.  Multivariate Prediction using Softly Shrunk Reduced-Rank Regression , 2000 .

[47]  Geert Molenberghs,et al.  Using a Box–Cox transformation in the analysis of longitudinal data with incomplete responses , 2000 .

[48]  David W. Scott,et al.  Parametric Statistical Modeling by Minimum Integrated Square Error , 2001, Technometrics.

[49]  José Julio Espina Agulló.  New algorithms for computing the least trimmed squares regression estimator , 2001 .

[50]  K. Ghoudi,et al.  Cramér‐von Mises regression , 2000 .

[51]  S. Balbi,et al.  Rotated canonical analysis onto a reference subspace , 2000 .

[52]  D. Kleinbaum,et al.  Applied Regression Analysis and Multivariable Methods , 1999 .

[53]  André I. Khuri,et al.  Statistical Texts for Mixed Linear Models: Khuri/Statistical , 1998 .

[54]  Marie A. Gaudard,et al.  On estimating the box-cox transformation to normality , 2000 .

[55]  A. Hadi,et al.  BACON: blocked adaptive computationally efficient outlier nominators , 2000 .

[56]  John A. Nelder,et al.  Two ways of modelling overdispersion in non‐normal data , 2000 .

[57]  B. Mallick,et al.  Generalized Linear Models : A Bayesian Perspective , 2000 .

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[59]  Wolfgang Härdle,et al.  Structural Tests in Additive Regression , 2001 .

[60]  Emmanuel Lesaffre,et al.  On the effect of the number of quadrature points in a logistic random effects model: an example , 2001 .

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[63]  C. Spiegelman,et al.  A Nonlinear Approach to Linear Calibration Intervals , 2002 .

[64]  Chris Lloyd.  Miscellanea. Maximum likelihood estimation of misclassification rates of a binomial regression , 2000 .

[65]  Francis Tuerlinckx,et al.  Diagnostic checks for discrete data regression models using posterior predictive simulations , 2000 .

[66]  Ursula Gather,et al.  The largest nonindentifiable outlier: a comparison of multivariate simultaneous outlier identification rules , 2001 .

[67]  Andreas Christmann,et al.  Measuring overlap in binary regression , 2001 .

[68]  G. Seber,et al.  Residuals for multinomial models , 2000 .

[69]  Francisco J. Prieto,et al.  Using Angles to Identify Concentrated Multivariate Outliers , 2001, Technometrics.

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[71]  A. Forcina,et al.  Marginal regression models for the analysis of positive association of ordinal response variables , 2001 .

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[73]  D. Conniffe,et al.  When Moments of Ratios are Ratios of Moments , 2001 .

[74]  Martin Crowder,et al.  On repeated measures analysis with misspecified covariance structure , 2001 .

[75]  P. Sen,et al.  Effect of dichotomizing a continuous variable on the model structure in multiple linear regression models , 2000 .

[76]  Holger Dette,et al.  Robust designs for polynomial regression by maximizing a minimum of D- and D1-efficiencies , 2001 .

[77]  J. Nelder,et al.  Hierarchical generalised linear models: A synthesis of generalised linear models, random-effect models and structured dispersions , 2001 .

[78]  M. Berger,et al.  Detection of Influential Observations in Longitudinal Mixed Effects Regression Models , 2001 .

[79]  G. Nason.  Robust projection indices , 2001 .

[80]  V. Yohai,et al.  OPTIMAL ROBUST M-ESTIMATES OF LOCATION , 2001 .

[81]  Yijian Huang,et al.  Consistent Functional Methods for Logistic Regression With Errors in Covariates , 2001 .

[82]  K. Bradley,et al.  Asymmetric confidence bands for simple linear regression over bounded intervals , 2000 .

[83]  Chris Field,et al.  The density of multivariate $M$-estimates , 2000 .

[84]  Mezbahur Rahman.  Estimating the box-cox transformation via shapiro-wilk W Statistic , 1999 .

[85]  Lixing Zhu,et al.  ESTIMATION IN PARTLY LINEAR ERROR-IN-COVARIABLE MODELS WITH CENSORED DATA , 2001 .

[86]  J. García,et al.  Influence analysis in multivariate linear general models , 2000 .

[87]  D. Andrade,et al.  Analysing longitudinal data via nonlinear models in randomized block designs , 2001 .

[88]  Ian T. Jolliffe,et al.  VARIABLE SELECTION AND INTERPRETATION OF COVARIANCE PRINCIPAL COMPONENTS , 2001 .

[89]  R. Carroll,et al.  Semiparametric Regression for Clustered Data Using Generalized Estimating Equations , 2001 .

[90]  Richard A. Johnson,et al.  A new family of power transformations to improve normality or symmetry , 2000 .

[91]  Kenny Q. Ye.  Statistical Tests for Mixed Linear Models , 2000, Technometrics.

[92]  Denis G. Janky,et al.  Sometimes Pooling for Analysis of Variance Hypothesis Tests: A Review and Study of a Split-Plot Model , 2000 .

[93]  Louis-Paul Rivest,et al.  M-estimation for location and regression parameters in group models: A case study using Stiefel manifolds , 2001 .

[94]  S. Thompson,et al.  Correcting for regression dilution bias: comparison of methods for a single predictor variable , 2000 .

[95]  M. Tan,et al.  A unified approach to estimating association measures via a joint generalized linear model for paired binary data , 2000 .

[96]  R. M. Wharton.  EXPERIMENTAL DESIGNS FOR SELECTING THE BETTER OF TWO QUANTAL RESPONSE FUNCTIONS , 2001 .

[97]  Peter Hall,et al.  A weighted bootstrap approach to bootstrap iteration , 2000 .

[98]  Eugene Demidenko,et al.  Is this the least squares estimate , 2000 .

[99]  Richard F. Gunst,et al.  Classical Studies That Revolutionized the Practice of Regression Analysis , 2000, Technometrics.

[100]  Simon J. Sheather,et al.  Partial Residual Plots Based on Robust Fits , 2000, Technometrics.

[101]  Biao Zhang,et al.  An information matrix test for logistic regression models based on case-control data , 2001 .

[102]  Notes on likelihood intervals and profiling , 2000 .

[103]  Scott L. Zeger,et al.  Marginalized Multilevel Models and Likelihood Inference , 2000 .

[104]  P. Laake,et al.  Instrumental variable estimation in logistic measurement error models by means of factor scores , 1999 .

[105]  Geert Molenberghs,et al.  Regression modelling of weighted κ by using generalized estimating equations , 2000 .

[106]  Geert Verbeke,et al.  Conditional Linear Mixed Models , 2001 .

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[108]  J. S. Long,et al.  Using Heteroscedasticity Consistent Standard Errors in the Linear Regression Model , 2000 .

[109]  Christine M. Anderson-Cook.  An industrial example using one-way analysis of circular-linear data , 2000 .

[110]  C. Léger,et al.  Bootstrapping regression models with BLUS residuals , 2000 .

[111]  Shihti Yu,et al.  How effective are the reset tests for omitted variables , 2000 .

[112]  Xihong Lin,et al.  A bias correction regression calibration approach in generalized linear mixed measurement error models , 1999 .

[113]  J. Diebolt,et al.  ON TESTING THE GOODNESS-OF-FIT OF NONLINEAR HETEROSCEDASTIC REGRESSION MODELS , 2001 .

[114]  Wenjiang J. Fu,et al.  Asymptotics for lasso-type estimators , 2000 .

[115]  P. R. Nelson,et al.  Power Curves for the Analysis of Means for Variances , 2001 .

[116]  D. VanLeeuwen,et al.  Balance and orthogonality in designs for mixed classification models , 1999 .

[117]  Jiming Jiang,et al.  Robust estimation in generalised linear mixed models , 2001 .

[118]  Irwin Guttman,et al.  A new criterion for variable selection , 1998 .

[119]  Sudhir Gupta,et al.  Statistical Regression With Measurement Error , 1999, Technometrics.

[120]  J. Brian Gray,et al.  Applied Regression Including Computing and Graphics , 1999, Technometrics.

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[125]  Quantile estimation for a selected normal population , 2000 .

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[131]  Influential subsets on the variable selection , 2000 .

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[133]  Dianliang Deng,et al.  Score tests for zero inflation in generalized linear models , 2000 .

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[135]  Eunsik Park,et al.  ESTIMATES OF STANDARD DEVIATION OF SPEARMAN'S RANK CORRELATION COEFFICIENTS WITH DEPENDENT OBSERVATIONS , 2001 .

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[154]  S. Koreisha,et al.  Generalized least squares with misspecified serial correlation structures , 2001 .

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[157]  S. Julious.  Inference and estimation in a changepoint regression problem , 2001 .

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