Applied regression analysis bibliography update 1988-89

The 25-page Bibliography in Applied Regression Analysis, 2nd edition, by N.R. Draper and H. Smith, published by Wiley in 1981, is extended by a list of selected references available during 1988-89, and a few older references inadvertently omitted from previous lists. It is hoped that this will be useful to regression practictioners. Items were chosen on the basis of their perceived relevance to practical applications (sometimes rather widely interpreted). The classification system used is that of the book. The references were selected mostly from the issues of these journals: Annals of Statistics; Applied Statistics: Biometrika; Canadian Journal of Statistics; Bulletin of the International Statistical Institute; Journal of the American Statistical Association; Journal of Quality Technology; Journal of the Royal Statistical Society, Series A and B; and Technometrics. The author would appreciate being notified of errors, however slight, so that these do not persist in future compilations.

[1]  Bernard Rosner,et al.  Multivariate Methods for Clustered Binary Data with More than One Level of Nesting , 1989 .

[2]  The nature of collinearity , 1989 .

[3]  G. W. Bennett.  Determination of anaerobic threshold , 1988 .

[4]  R. Carroll,et al.  Variance Function Estimation , 1987 .

[5]  A. Cohen,et al.  On the Admissibility and Consistency of Tests for Homogeneity of Variances , 1989 .

[6]  Bailer Aj,et al.  Effects of treatment-induced mortality and tumor-induced mortality on tests for carcinogenicity in small samples. , 1988 .

[7]  T. Wet,et al.  Mallows-Type Bounded-Influence-Regression Trimmed Means , 1988 .

[8]  I M Longini,et al.  Models for the statistical analysis of infectious disease data. , 1988, Biometrics.

[9]  R. Carroll,et al.  An asymptotic theory for weighted least-squares with weights estimated by replication , 1988 .

[10]  Ronald W. Butler,et al.  The equivalence of backward elimination and multiple comparisons , 1988 .

[11]  P. Hall,et al.  Optimal Rates of Convergence for Deconvolving a Density , 1988 .

[12]  R. Tibshirani.  Estimating Transformations for Regression via Additivity and Variance Stabilization , 1988 .

[13]  Philip Hougaard.  The asymptotic distribution of nonlinear regression parameter estimates: improving the approximation , 1988 .

[14]  H. White.  Some Asymptotic Results for Learning in Single Hidden-Layer Feedforward Network Models , 1989 .

[15]  Adrian Bowman,et al.  On the use of nonparametric regression for model checking , 1989 .

[16]  R. R. Hocking,et al.  Variance-component estimation with model-based diagnostics , 1989 .

[17]  T. Capizzi,et al.  Diagnostic Tests for Similar Action of Two Compounds , 1988 .

[18]  Douglas P. Wiens,et al.  Minimax Properties of $M-, R-$ and $L$-Estimators of Location in Levy Neighbourhoods , 1989 .

[19]  R. Lockhart,et al.  Testing for normal errors in designs with many blocks , 1988 .

[20]  D. Ruppert,et al.  Random-Effect Models in Nonlinear Regression with Applications to Bioassay , 1989 .

[21]  J. Lawless,et al.  Tests for Detecting Overdispersion in Poisson Regression Models , 1989 .

[22]  Peter M. Hooper.  Simultaneous Estimation and Prediction Using the Expected Coverage Measure Criterion , 1988 .

[23]  Gordon K. Smyth,et al.  Generalized linear models with varying dispersion , 1989 .

[24]  Modelling ant―insect interactions on flowerheads of Helichrysum Bracteatum , 1987 .

[25]  D. V. Hinkley,et al.  More on score tests for transformation in regression , 1988 .

[26]  C. Radhakrishna Rao,et al.  Prediction of Future Observations in Growth Curve Models , 1987 .

[27]  Chris Gennings,et al.  Response Surface Analysis with Correlated Data: A Nonlinear Model Approach , 1989 .

[28]  R. D. Veaux,et al.  Mixtures of linear regressions , 1989 .

[29]  D. Ruppert,et al.  A Note on Computing Robust Regression Estimates via Iteratively Reweighted Least Squares , 1988 .

[30]  Alice S. Whittemore,et al.  Testing odds-ratio equality for several diseases , 1989 .

[31]  J. Copas.  Binary Regression Models for Contaminated Data , 1988 .

[32]  V. Chinchilli,et al.  The Use of Box-Cox Transformations in the Development of Multivariate Tolerance Regions with Applications to Clinical Chemistry , 1988 .

[33]  Mark R. Segal,et al.  Empirical Comparison of Approaches to Forming Strata: Using Classification Trees to Adjust for Covariates , 1989 .

[34]  Joseph P. Romano,et al.  A Review of Bootstrap Confidence Intervals , 1988 .

[35]  Tom Wansbeek,et al.  Formula manipulation in statistics on the computer: evaluating the expectation of higher-degree functions of normally distributed matrices , 1989 .

[36]  L. Moore,et al.  Approximate one-sided tolerance bounds on the number of failures using Poisson regression , 1988 .

[37]  Anthony N. Pettitt,et al.  Case-Weighted Measures of Influence for Proportional Hazards Regression , 1989 .

[38]  S. Bull,et al.  The Efficiency of Multinomial Logistic Regression Compared with Multiple Group Discriminant Analysis , 1987 .

[39]  Modelling insect natality using splines , 1988 .

[40]  Ali S. Hadi,et al.  Impact of simultaneous omission of a variable and an observation on a linear regression equation , 1988 .

[41]  P. Sen,et al.  On preliminary test and shrinkage m-estimation in linear models , 1987 .

[42]  M. Frydenberg,et al.  A modified iterative proportional scaling algorithm for estimation for in regular exponential families , 1989 .

[43]  Andy H. Lee.  Assessing Partial Influence in Generalized Linear Models , 1988 .

[44]  J. Lawless,et al.  Consistency and efficiency of regression coefficient estimates in location-scale models , 1988 .

[45]  James P. LeSage,et al.  Assessing the accuracy of ANOVA calculations in statistical software , 1989 .

[46]  M. H. Gail,et al.  Tests for no treatment e?ect in randomized clinical trials , 1988 .

[47]  Stephen M. Miller.  Empirical Processes Based upon Residuals from Errors-in-Variables Regressions , 1989 .

[48]  R. Dennis Cook,et al.  Assessing influence on regression coefficients in generalized linear models , 1989 .

[49]  Paul R. Rosenbaum,et al.  Exploratory Plots for Paired Data , 1989 .

[50]  Kristian Linnet,et al.  Testing normality of transformed data , 1988 .

[51]  Calculating selected elements of the inverse of symmetric positive definite matrices , 1988 .

[52]  Fitting generalized linear models and their extensions with least-squares calculations , 1988 .

[53]  Jiunn T. Hwang,et al.  The Nonexistence of 100$(1 - \alpha)$% Confidence Sets of Finite Expected Diameter in Errors-in-Variables and Related Models , 1987 .

[54]  Some remarks on the use of improper priors for the analysis of exponential regression models , 1989 .

[55]  R. Carroll,et al.  Conditionally Unbiased Bounded-Influence Estimation in General Regression Models, with Applications to Generalized Linear Models , 1989 .

[56]  C. Kao,et al.  An Application of Nonlinear Bounded Influence Estimation to Aggregate Bank Borrowing from the Federal Reserve , 1989 .

[57]  Brown Gh,et al.  A note on comparing growth rates of animals between groups. , 1988 .

[58]  Steven G. Self,et al.  Power/Sample Size Calculations for Generalized Linear Models , 1988 .

[59]  L. Ryan,et al.  The Analysis of Multiple Correlated Binary Outcomes: Application to Rodent Teratology Experiments , 1989 .

[60]  Louis-Paul Rivest,et al.  Spherical regression for concentrated Fisher-von Mises distributions , 1989 .

[61]  P. Westfall,et al.  The Power Function of Conditional Log-Linear Model Tests , 1988 .

[62]  Mark R. Segal,et al.  Regression Trees for Censored Data , 1988 .

[63]  A. Leslie Robb,et al.  Alternative Transformations to Handle Extreme Values of the Dependent Variable , 1988 .

[64]  Simo Puntanen,et al.  The Equality of the Ordinary Least Squares Estimator and the Best Linear Unbiased Estimator , 1989 .

[65]  W. H. Ross.  The Expectation of the Likelihood Ratio Criterion , 1987 .

[66]  Kwok-Leung Tsui,et al.  A Nonparametric Approach to the Truncated Regression Problem , 1988 .

[67]  Marie Davidian,et al.  Variance functions and the minimum detectable concentration in assays. Technical report, August 1985-August 1986 , 1988 .

[68]  L. Moses,et al.  Nonoptimally Weighted Least Squares , 1988 .

[69]  D. Siegmund,et al.  On Hotelling's Approach to Testing for a Nonlinear Parameter in Regression , 1989 .

[70]  D. A. Sprott,et al.  The use of a mixture model in the analysis of count data. , 1988, Biometrics.

[71]  Salomon Minkin.  Fit Assessment and Identification of Functional Form in Logistic Regression , 1989 .

[72]  H Hans Visser,et al.  Kalman Filter Analysis in Dendroclimatology , 1988 .

[73]  Least-Absolute-Value Prediction Lines in Closed Form , 1987 .

[74]  P. Hall.  On Projection Pursuit Regression , 1989 .

[75]  R. Dennis Cook,et al.  Regression Diagnostics With Dynamic Graphics , 1989 .

[76]  Paul D. Haines,et al.  A Closed Form Approximation for Calculating the Percentage Points of the F and T Distributions , 1988 .

[77]  B. M. Brown,et al.  An Affine Invariant Bivariate Version of the Sign Test , 1989 .

[78]  L. J. Wei,et al.  The Robust Inference for the Cox Proportional Hazards Model , 1989 .

[79]  C. C. Heyde,et al.  Quasi-Likelihood and Optimal Estimation, Correspondent Paper , 1987 .

[80]  Joseph W. McKean,et al.  Rank scores suitable for analyses of linear models under asymmetric error distributions , 1989 .

[81]  S L Hui,et al.  A general approach to analyzing epidemiologic data that contain misclassification errors. , 1987, Biometrics.

[82]  E. Stanek,et al.  Growth curve models of repeated binary response. , 1988, Biometrics.

[83]  Paul C. Van Deusen,et al.  A model-based approach to tree ring analysis , 1989 .

[84]  T. Mathew,et al.  Optimum Tests in Unbalanced Two-Way Models without Interaction , 1988 .

[85]  De l'unicité des estimateurs robustes en régression lorsque le paramètre d'échelle et le paramètre de la régression sont estimés simultanément , 1989 .

[86]  David W. Hosmer,et al.  Best subsets logistic regression , 1989 .

[87]  Gordon E. Willmot,et al.  A mixed poisson–inverse‐gaussian regression model , 1989 .

[88]  Yasuo Amemiya,et al.  Estimation for the Nonlinear Functional Relationship , 1988 .

[89]  E. Mammen.  Asymptotics with increasing dimension for robust regression with applications to the bootstrap , 1989 .

[90]  Raymond J. Carroll,et al.  Variance Function Estimation in Regression: the Effect of Estimating the Mean , 1988 .

[91]  Jinn-Tyan Lin,et al.  Approximating the normal tail probability and its inverse for use on a pocket calculator , 1989 .

[92]  Jeremy MG Taylor,et al.  Robust Statistical Modeling Using the t Distribution , 1989 .

[93]  M. Shoukri,et al.  Use of regression models to estimate genetic parameters and measures of familial resemblance in man , 1989 .

[94]  J. Zidek,et al.  Bayesian nonparametric smoothers for regular processes , 1988 .

[95]  Raymond J. Carroll,et al.  Conditional scores and optimal scores for generalized linear measurement-error models , 1987 .

[96]  Bernhard W. Flury.  Understanding Partial Statistics and Redundancy of Variables in Regression and Discriminant Analysis , 1989 .

[97]  A. J. Lawrance,et al.  A comparison of asymptotically equivalent test statistics for regression transformation , 1989 .

[98]  Peter Bacchetti,et al.  Additive Isotonic Models , 1989 .

[99]  P. Hall.  On Polynomial-Based Projection Indices for Exploratory Projection Pursuit , 1989 .

[100]  Anthony C. Davison,et al.  Approximate conditional inference in generalized linear models , 1988 .

[101]  Jun Shao,et al.  Heteroscedasticity-Robustness of Jackknife Variance Estimators in Linear Models , 1987 .

[102]  Nan M. Laird,et al.  Regression Analysis for Categorical Variables with Outcome Subject to Nonignorable Nonresponse , 1988 .

[103]  W. Anderson,et al.  An Analysis of Density-Dependent Viability Selection , 1989 .

[104]  A. C. V. Eijnsbergen,et al.  A Comparison of Two Criteria for Ordinary-Least-Squares Estimators to Be Best Linear Unbiased Estimators , 1988 .

[105]  Marie Davidian,et al.  A Note on Extended Quasi-Likelihood , 1988 .

[106]  T. Morgan.  Nonparametric estimation of duration of accrual and total study length for clinical trials. , 1987, Biometrics.

[107]  Karen L. Jensen,et al.  An Interactive Probability Plotting Program , 1988 .

[108]  S. Minkin.  Optimal Designs for Binary Data , 1987 .

[109]  Agnes M. Herzberg,et al.  A Ridge-Regression Sidelight , 1987 .

[110]  Jeffrey S. Simonoff,et al.  Detecting outlying cells in two-way contingency table via backwards-stepping , 1988 .

[111]  Samuel D. Oman,et al.  CONFIDENCE REGIONS IN MULTIVARIATE CALIBRATION , 1988 .

[112]  D. Hinkley,et al.  More about transformations and influential cases in regression , 1988 .

[113]  W. Alley.  A Note on Stagewise Regression , 1987 .

[114]  Russell V. Lenth,et al.  Consistency of Deviance‐Based M Estimators , 1987 .

[115]  D. Siegmund,et al.  The likelihood ratio test for a change-point in simple linear regression , 1989 .

[116]  W. N. Venables,et al.  An extension of the growth curve model , 1988 .

[117]  A. C. Atkinson,et al.  Transformations unmasked , 1988 .

[118]  An Analysis of Subset Regression for Orthogonal Designs , 1988 .

[119]  R. Shiffler.  Maximum Z Scores and Outliers , 1988 .

[120]  R Brookmeyer,et al.  Biases in prevalent cohorts. , 1987, Biometrics.

[121]  Nanny Wermuth,et al.  Moderating effects of subgroups in linear models , 1989 .

[122]  N. Chakravarti.  Bounded isotonic median regression , 1989 .

[123]  Virgil R. Marco,et al.  On the effect of correlation and unequal variances in detecting a spurious observation , 1989 .

[124]  James E. Gentle,et al.  Algorithms for unconstrained L 1 simple linear regression , 1988 .

[125]  E. Arjas,et al.  A Test for Discriminating between Additive and Multiplicative Relative Risks in Survival Analysis , 1988 .

[126]  D. M. Smith,et al.  All possible subset regressions using the QR decomposition , 1989 .

[127]  M. Espeland,et al.  Using latent class models to characterize and assess relative error in discrete measurements. , 1989, Biometrics.

[128]  Zhi Geng,et al.  Decomposability and collapsibility for log-linear models , 1989 .

[129]  Michael D. Conerly,et al.  An Approximate Test for Comparing Heteroscedastic Regression Models , 1988 .

[130]  Standard errors resilient to error variance misspecification , 1988 .

[131]  F. Kianifard,et al.  Using Recursive Residuals, Calculated on Adaptively-Ordered Observations, to Identify Outliers in Linear Regression , 1989 .

[132]  M. Hanif,et al.  How Nearly Can Model-Based Prediction and Design-Based Estimation Be Reconciled? , 1988 .

[133]  Kenneth H. Pollock,et al.  Estimation and analysis of survival distributions for radio-tagged animals , 1989 .

[134]  Alan Agresti,et al.  Mathematical and computer modelling reports: A model for agreement between ratings on an ordinal scale , 1988 .

[135]  Deborah Burr,et al.  On Errors-in-Variables in Binary Regression—Berkson Case , 1988 .

[136]  D. M. Titterington,et al.  Recent advances in nonlinear experiment design , 1989 .

[137]  Anastasios A. Tsiatis,et al.  The asymptotic relative efficiency of score tests in a generalized linear model with surrogate covariates , 1988 .

[138]  Scott L. Zeger,et al.  A Class of Logistic Regression Models for Multivariate Binary Time Series , 1989 .

[139]  V. Yohai,et al.  Min-Max Bias Robust Regression. , 1989 .

[140]  R. Fernando,et al.  Mixed-model analysis of a censored normal distribution with reference to animal breeding. , 1987, Biometrics.

[141]  P. Green.  Penalized Likelihood for General Semi-Parametric Regression Models. , 1987 .

[142]  D. Gianola,et al.  Mixed models for binomial data with an application to lamb mortality , 1988 .

[143]  D. Zelterman.  Order statistics of the generalized logistic distribution , 1988 .

[144]  M. J. R. Healy.  GLIM: An Introduction , 1988 .

[145]  J. B. Gray.  The four-measure influence plot , 1989 .

[146]  Michael Goldstein.  Adjusting Belief Structures , 1988 .

[147]  Y. Soh,et al.  Properties of the Geometric Mean Functional Relationship , 1988 .

[148]  S. P. Smith,et al.  Rank regression with log gamma residuals , 1988 .

[149]  W. Shih,et al.  A heuristic parameter estimation procedure for a binary dependent variable regression model , 1989 .

[150]  N. Meade.  A modified logistic model applied to human populations. , 1988, Journal of the Royal Statistical Society. Series A,.

[151]  Roy E. Welsch,et al.  Maximum Likelihood and Quasi-Likelihood for Nonlinear Exponential Family Regression Models , 1988 .

[152]  K. Chaloner,et al.  A Bayesian approach to outlier detection and residual analysis , 1988 .

[153]  M. Berman.  A theorem of Jacobi and its generalization , 1988 .

[154]  W. Navidi.  EDGEWORTH EXPANSIONS FOR BOOTSTRAPPING REGRESSION MODELS , 1989 .

[155]  S. Haberman.  Concavity and estimation , 1989 .

[156]  David C. Schmittlein,et al.  Surprising Inferences from Unsurprising Observations: Do Conditional Expectations Really Regress to the Mean? , 1989 .

[157]  R. Zamar.  Robust estimation in the errors-in-variables model , 1989 .

[158]  S. Zeger,et al.  Poisson regression with a surrogate X: an analysis of vitamin A and Indonesian children's mortality. , 1989, Journal of the Royal Statistical Society. Series C, Applied statistics.

[159]  Shelby J. Haberman,et al.  The analysis of multivariate contingency tables by restricted canonical and restricted association models , 1988 .

[160]  R. Cormack.  Log-linear models for capture-recapture , 1989 .

[161]  Noel A Cressie,et al.  A Transformation/Weighting Model for Estimating Michaelis-Menten Parameters, , 1989 .

[162]  T. Taguchi.  On the structure of multivaria concentration—some relationships among the concentration surface and two variate mean difference and regressions , 1988 .

[163]  J. Rodgers,et al.  Thirteen ways to look at the correlation coefficient , 1988 .

[164]  P. Hättenschwiler.  Goal programming becomes most useful using L 1 -smoothing functions , 1988 .

[165]  D. Hoaglin,et al.  Fine-Tuning Some Resistant Rules for Outlier Labeling , 1987 .

[166]  K. Bailey,et al.  Estimation and comparison of changes in the presence of informative right censoring: conditional linear model. , 1989, Biometrics.

[167]  J. Peixoto.  Hierarchical Variable Selection in Polynomial Regression Models , 1987 .

[168]  Raymond J. Carroll,et al.  A Note on Asymmetry and Robustness in Linear Regression , 1988 .

[169]  A. Tsybakov,et al.  Robust nonparametric regression with simultaneous scale curve estimation , 1988 .

[170]  TESTING FOR LACK OF FIT IN NONLINEAR REGRESSION , 1988 .

[171]  R. Kala,et al.  Recursive improvement of estimates in a Gauss-Markov model with linear restrictions , 1988 .

[172]  H. Goldstein.  Restricted unbiased iterative generalized least-squares estimation , 1989 .

[173]  Kjell A. Doksum,et al.  Estimation and Testing in a Two-Sample Generalized Odds-Rate Model , 1988 .

[174]  H. Preisler.  Analysis of a Toxicological Experiment Using a Generalized Linear Model with , 1989 .

[175]  Yuzo Honda.  On the optimality of some tests of the error covariance matrix in the linear regression model , 1989 .

[176]  H. Nyquist.  Least orthogonal absolute deviations , 1988 .

[177]  The Influence of Assumptions Implicit in a Model on Parametric Inference , 1989 .

[178]  Estimation of delay times in stochastic compartmental models , 1989 .

[179]  J. C. van Houwelingen,et al.  Use and abuse of variance models in regression. , 1988 .

[180]  R. Cook.  Parameter plots in nonlinear regression , 1987 .

[181]  The use of asymmetric power transformation in data-based quasi-likelihood analysis , 1988 .

[182]  J. Staniswalis.  The Kernel Estimate of a Regression Function in Likelihood-Based Models , 1989 .

[183]  Nitin R. Patel,et al.  Computing Distributions for Exact Logistic Regression , 1987 .

[184]  James J. Heckman,et al.  The identifiability of the competing risks model , 1989 .

[185]  B H Margolin,et al.  Exploring simple independent action in multifactor tables of proportions. , 1988, Biometrics.

[186]  Ker-Chau Li,et al.  Regression Analysis Under Link Violation , 1989 .

[187]  David Ruppert,et al.  The Effect of Estimating Weights in Weighted Least Squares , 1988 .

[188]  W. N. Venables,et al.  Estimation of Variance Components and Applications. , 1990 .

[189]  Jeffrey S. Simonoff.  Regression diagnostics to detect nonrandom missingness in linear regression , 1988 .

[190]  Guido del Pino,et al.  The Unifying Role of Iterative Generalized Least Squares in Statistical Algorithms , 1989 .

[191]  J. Michael Steele,et al.  ACE guided-transformation method for estimation of the coefficient of soil-water diffusivity , 1989 .

[192]  Jeffrey S. Simonoff,et al.  The use of guided reformulations when collinearities are present in non-linear regression , 1989 .

[193]  Calyampudi R. Rao,et al.  A strongly consistent procedure for model selection in a regression problem , 1989 .

[194]  Roy E. Welsch,et al.  Regression Diagnostics with Dynamic Graphics: [With Discussions and Response] , 1989 .

[195]  Alice S. Whittemore,et al.  Errors-in-Variables Regression Using Stein Estimates , 1989 .

[196]  T. Gasser,et al.  Convergence and consistency results for self-modeling nonlinear regression , 1988 .

[197]  I. Johnstone,et al.  On Hotelling's Formula for the Volume of Tubes and Naiman's Inequality , 1989 .

[198]  Thomas J. DiCiccio,et al.  Likelihood inference for linear regression models , 1988 .

[199]  Kirby L. Jackson,et al.  Log-linear analysis of censored survival data with partially observed covariates , 1989 .

[200]  Jiro Hodoshima,et al.  The Effect of Truncation on the Identifiability of Regression Coefficients , 1988 .

[201]  E. Jacquelin Dietz,et al.  Teaching Regression in a Nonparametric Statistics Course , 1989 .

[202]  T. Fears,et al.  Logistic regression methods for retrospective case-control studies using complex sampling procedures. , 1986, Biometrics.

[203]  Ali S. Hadi,et al.  Diagnosing collinearity-influential observations , 1988 .

[204]  Amy Racine-Poon.  A Bayesian Approach to Nonlinear Calibration Problems , 1988 .

[205]  Visual Fits in the Teaching of Regression Concepts , 1989 .

[206]  Chih-Ling Tsai.  Power transformations and reparameterizations in nonlinear regression models , 1988 .

[207]  A. Cohen,et al.  An Approach to Inference following Model Selection with Applications to Transformation-Based and Adaptive Inference , 1987 .

[208]  Scott L. Zeger,et al.  Analyzing repeated measures on generalized linear models via the bootstrap , 1989 .

[209]  E. Lesaffre,et al.  Multiple‐Group Logistic Regression Diagnostics , 1989 .

[210]  Satoru Kanoh.  The reduction of the width of confidence bands in linear regression , 1988 .

[211]  S. Dalal,et al.  A conservative test and confidence region for comparing heteroscedastic regressions , 1988 .

[212]  John B. Willett,et al.  Another Cautionary Note about R 2: Its Use in Weighted Least-Squares Regression Analysis , 1988 .

[213]  Kung-Yee Liang,et al.  Conditional logistic regression models for correlated binary data , 1988 .

[214]  Martin L. Puterman,et al.  Leverage and influence in autocorrelated regression models , 1988 .

[215]  P.G.M. Van der Heijden,et al.  A Combined Approach to Contingency Table Analysis Using Correspondence Analysis and Log-Linear Analysis , 1989 .

[216]  S. R. Searle.  Parallel Lines in Residual Plots , 1988 .

[217]  Elja Arjas,et al.  A Graphical Method for Assessing Goodness of Fit in Cox's Proportional Hazards Model , 1988 .

[218]  Chih-Ling Tsai,et al.  Calculating the efficiency of maximum quasilikelihood estimation , 1988 .

[219]  Jim Albert,et al.  A Bayesian approach to some overdispersion models , 1989 .

[220]  Emmanuel Lesaffre,et al.  Partial Separation in Logistic Discrimination , 1989 .

[221]  Jeremy M. G. Taylor.  The Cost of Generalizing Logistic Regression , 1988 .

[222]  R. Prentice,et al.  Correlated binary regression with covariates specific to each binary observation. , 1988, Biometrics.

[223]  E. Vonesh,et al.  An Empirical Nonlinear Data-Fitting Approach for Transforming Data to Normality , 1989 .

[224]  Rex Galbraith,et al.  Graphical display of estimates having differing standard errors , 1988 .

[225]  Paul H. Garthwaite,et al.  Quantifying Expert Opinion in Linear Regression Problems , 1988 .

[226]  V. Flack,et al.  Using simulated envelopes in the evaluation of normal probability plots of regression residuals , 1989 .

[227]  W. Barlow,et al.  Residuals for relative risk regression , 1988 .

[228]  Henri Theil,et al.  Information-Theoretic Measures of Fit for Univariate and Multivariate Linear Regressions , 1988 .

[229]  M. Limam.  Simultaneous tolerance intervals in the linear regression model , 1984 .

[230]  J. Birch,et al.  Influence measures in ridge regression , 1988 .

[231]  C. Gatsonis,et al.  BAYESIAN-INFERENCE FOR RATIOS OF COEFFICIENTS IN A LINEAR-MODEL , 1988 .

[232]  D. Pregibon,et al.  Analyzing dispersion effects from replicated factorial experiments , 1988 .

[233]  H. Nyquist.  Applications of the jackknife procedure in ridge regression , 1988 .

[234]  R. Dykstra,et al.  Duality of I Projections and Maximum Likelihood Estimation for Log-Linear Models Under Cone Constraints , 1988 .

[235]  Jerome Sacks,et al.  A quick and easy multiple-use calibration-curve procedure , 1988 .

[236]  William A. Verdini,et al.  Characterizing the Domain of a Regression Model , 1988 .

[237]  Robert H. Shumway,et al.  Estimating Mean Concentrations Under Transformation for Environmental Data With Detection Limits , 1989 .

[238]  J O'Quigley,et al.  Score tests for homogeneity of regression effect in the proportional hazards model. , 1989, Biometrics.

[239]  David Pee,et al.  Return to a Note on Screening Regression Equations , 1989 .

[240]  Hari Mukerjee,et al.  Monotone Nonparametric Regression , 1988 .

[241]  R. Martin,et al.  Leave‐K‐Out Diagnostics for Time Series , 1989 .

[242]  L. J. Wei,et al.  Regression analysis of multivariate incomplete failure time data by modeling marginal distributions , 1989 .

[243]  D. Cox,et al.  On testing for serial correlation in large numbers of small samples , 1988 .

[244]  Maximum likelihood estimation in models with two systematic parts , 1988 .

[245]  H. Preisler.  Fitting dose-response data with non-zero backgrounds within generalized linear and generalized additive models , 1989 .

[246]  Allan Donner,et al.  Classification Efficiency of Multinomial Logistic Regression Relative to Ordinal Logistic Regression , 1989 .

[247]  W. Cleveland,et al.  Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting , 1988 .

[248]  R. Woolson,et al.  A Monte Carlo investigation of homogeneity tests of the odds ratio under various sample size configurations. , 1989, Biometrics.

[249]  Regression quantiles and trimmed least squares estimator in the nonlinear regression model , 1988 .

[250]  J. H. Schuenemeyer,et al.  Lack-of-Fit Testing When Replicates are Not Available , 1989 .

[251]  Hooker and Yule on Relative Importance: A Statistical Detective Story , 1989 .

[252]  Man Yu Wong,et al.  Likelihood estimation of a simple linear regression model when both variables have error , 1989 .

[253]  Vern Farewell,et al.  A comparison of regression models for ordinal data in an analysis of transplanted-kidney function , 1988 .

[254]  B. Efron.  Logistic Regression, Survival Analysis, and the Kaplan-Meier Curve , 1988 .

[255]  Robert L. Winkler,et al.  Sampling Distributions of Post-sample Forecasting Errors , 1989 .

[256]  L. I. Pettit,et al.  Bayes methods for outliers in exponential samples , 1988 .

[257]  P. Brown,et al.  Multivariate Calibration With More Variables Than Observations , 1989 .

[258]  John T. Kent,et al.  Measures of dependence for censored survival data , 1988 .

[259]  Kjell A. Doksum,et al.  Estimates and confidence intervals for median and mean life in the proportional hazard model , 1987 .

[260]  J. Levin,et al.  Analysis of Variance Through Simple Correlation , 1989 .

[261]  J. Raaijmakers,et al.  Statistical analysis of the Michaelis-Menten equation. , 1987, Biometrics.

[262]  B Rosner,et al.  Significance testing for correlated binary outcome data. , 1988, Biometrics.

[263]  Martin S. Ridout.  An Improved Branch and Bound Algorithm for Feature Subset Selection , 1988 .

[264]  G. Masarotto.  Robust and consistent estimates of autoregressive-moving average parameters , 1987 .

[265]  James K. Binkley,et al.  A note on the efficiency of seemingly unrelated regression , 1988 .

[266]  A. C. Davison,et al.  Deviance residuals and normal scores plots , 1989 .

[267]  S. W. Lagakos.  The loss in efficiency from misspecifying covariates in proportional hazards regression models , 1988 .

[268]  A property of the observations fit by the extreme regression quantiles , 1988 .

[269]  G. Eagleson,et al.  Testing for Correlated Errors in the Analysis of Variance , 1988 .

[270]  J. Albert.  Computational methods using a Bayesian hierarchical generalized linear model , 1988 .

[271]  Murari Singh,et al.  Stability of genotypes in intercropping , 1988 .

[272]  K F Hirji,et al.  Exact inference for matched case-control studies. , 1988, Biometrics.

[273]  W. H. Collins,et al.  Analysis by Computer of Designed Experiments with Zero Degrees of Freedom for Error Variance , 1989 .

[274]  D. Johnson.  Least Squares Estimation of Avian Molt Rates , 1989 .

[275]  G. Bonney,et al.  Logistic regression for dependent binary observations. , 1987, Biometrics.

[276]  Anthony J. Lawrance,et al.  Regression Transformation Diagnostics Using Local Influence , 1988 .

[277]  J. N. K. Rao,et al.  On the Analysis of Categorical Variables by Linear Models having Singular Covariance Matrices , 1988 .

[278]  A. Welsh.  On $M$-Processes and $M$-Estimation , 1989 .

[279]  P F Thall,et al.  Mixed Poisson likelihood regression models for longitudinal interval count data. , 1988, Biometrics.

[280]  W. Thurman.  Unconditional Asymptotic Results for Simple Linear Regression , 1989 .

[281]  S. Soliman,et al.  A new technique for curve fitting based on minimum absolute deviations , 1988 .

[282]  Shaul K. Bar-Lev,et al.  On the classical choice of variance stabilizing transformations and an application for a Poisson variate , 1988 .

[283]  Robert V. Hogg,et al.  On Adaptive M-Regression , 1988 .

[284]  P. Albert,et al.  Models for longitudinal data: a generalized estimating equation approach. , 1988, Biometrics.

[285]  D. R. Cox,et al.  A note on design when response has an exponential family distribution , 1988 .

[286]  V. Yohai,et al.  High Breakdown-Point Estimates of Regression by Means of the Minimization of an Efficient Scale , 1988 .

[287]  J. Malley.  Optimal Unbiased Estimation of Variance Components , 1986 .

[288]  I. Parker,et al.  Transformations and influential observations in minimum sum of absolute errors regression , 1988 .

[289]  Lewis B. Sheiner,et al.  Heteroscedastic nonlinear regression , 1988 .

[290]  L. Brown,et al.  Universal Domination and Stochastic Domination: U -Admissibility and U -Inadmissibility of the Least Squares Estimator , 1989 .

[291]  An Alternate Proof of Samuelson's Inequality and its Extensions , 1989 .

[292]  T. Cole.  Fitting Smoothed Centile Curves to Reference Data , 1988 .

[293]  B. Kale,et al.  Masking effect on tests for outliers in normal samples , 1987 .

[294]  S. Zeger,et al.  Markov regression models for time series: a quasi-likelihood approach. , 1988, Biometrics.

[295]  D. K. Walters,et al.  Consistent estimation of site index curves fitted to temporary plot data , 1989 .

[296]  D. V. Hinkley.  Modified Profile Likelihood in Transformed Linear Models , 1989 .

[297]  David G. Green,et al.  Statistical Behaviour of the GMDH Algorithm , 1988 .

[298]  Norman E. Breslow,et al.  Logistic regression for two-stage case-control data , 1988 .

[299]  H. Claudio Benski.  Use of a Normality Test to Identify Significant Effects in Factorial Designs , 1989 .

[300]  P Jolicoeur,et al.  A lifetime asymptotic growth curve for human height. , 1988, Biometrics.

[301]  Virendra Kishore Srivastava,et al.  Small-Disturbance Asymptotic Theory for Linear-Calibration Estimators , 1989 .

[302]  J. K. Baksalary.  Criteria for the equality between ordinary least squares and best linear unbiased estimators under certain linear models , 1988 .

[303]  D. Bates,et al.  Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data , 1988 .

[304]  A. N. Pettitt,et al.  One Degree of Freedom for Nonadditivity: Applications with Generalized Linear Models and Link Functions , 1989 .

[305]  Ian Abramson.  A Recursive Regression for High-Dimensional Models, with Application to Growth Curves and Repeated Measures , 1988 .

[306]  M W Knuiman,et al.  Incorporating prior information into the analysis of contingency tables. , 1988, Biometrics.

[307]  M. Son,et al.  On the distribution of bivariate F-variable , 1988 .

[308]  Ian T. Jolliffe,et al.  Rotation of ill-defined principal components , 1989 .

[309]  Tables and Large-Sample Distribution Theory for Censored-Data Correlation Statistics for Testing Normality , 1988 .

[310]  Walter Liggetf.  Estimation of an asymmetrical density from several small samples , 1989 .

[311]  Hrishikesh D. Vinod,et al.  Economic Issues in Bell System Divestiture: A Bootstrap Application , 1988 .

[312]  L. Lin,et al.  A concordance correlation coefficient to evaluate reproducibility. , 1989, Biometrics.

[313]  D Edwards,et al.  The efficiency of simulation-based multiple comparisons. , 1987, Biometrics.

[314]  J. Lawless.  Negative binomial and mixed Poisson regression , 1987 .

[315]  A. Bhargava.  Missing observations and the use of the Durbin–Watson statistic , 1989 .

[316]  H. P. Lopuhaä.  On the relation between S-estimators and M-estimators of multivariate location and covariance , 1989 .

[317]  Roger Koenker,et al.  Adaptive $L$-Estimation for Linear Models , 1989 .

[318]  R. Raeside.  The use of sigmoids in modelling and forecasting human populations. , 1988, Journal of the Royal Statistical Society. Series A,.

[319]  Asymmetry of estimators in nonlinear regression , 1987 .

[320]  Lloyd S. Nelson,et al.  A Stabilized Normal Probability Plotting Technique , 1989 .

[321]  Observations on a stochastic model for quantal assay data , 1989 .

[322]  Jack C. Lee.  Prediction and estimation of growth curves with special covariance structures , 1988 .

[323]  A. Hamerle.  Multiple-spell regression models for duration data , 1989 .

[324]  Ted Chang,et al.  Spherical regression with errors in variables , 1989 .

[325]  Gauss M. Cordeiro,et al.  Improved likelihood ratio statistics for exponential family nonlinear models , 1989 .

[326]  Jeffrey R. Wilson.  Chi-square tests for overdispersion with multiparameter estimates , 1989 .

[327]  David Firth,et al.  Multiplicative Errors: Log‐Normal or Gamma? , 1988 .

[328]  W W Piegorsch,et al.  Confidence bands for logistic regression with restricted predictor variables. , 1988, Biometrics.

[329]  J. Friedman,et al.  FLEXIBLE PARSIMONIOUS SMOOTHING AND ADDITIVE MODELING , 1989 .

[330]  David Draper,et al.  Rank-Based Robust Analysis of Linear Models. I. Exposition and Review , 1988 .

[331]  Patterned matrix derivatives , 1988 .

[332]  Colin L. Mallows,et al.  Augmented partial residuals , 1986 .

[333]  E. Fowlkes,et al.  Evaluating Logistic Models for Large Contingency Tables , 1988 .

[334]  T. Permutt,et al.  Simultaneous-equation estimation in a clinical trial of the effect of smoking on birth weight. , 1989, Biometrics.

[335]  Ronald Christensen,et al.  Lack-of-Fit Tests Based on Near or Exact Replicates , 1989 .

[336]  John Mandel.  Some Thoughts on Variable-Selection in Multiple Regression , 1989 .

[337]  Theo Gasser,et al.  A Unifying Approach to Nonparametric Regression Estimation , 1988 .

[338]  H. Vinod.  CONFIDENCE INTERVALS FOR RIDGE REGRESSION PARAMETERS , 1987 .