Applied regression analysis bibliography update 1990-91
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[1] A. Buja. Remarks on Functional Canonical Variates, Alternating Least Squares Methods and Ace , 1990 .
[2] Clifford H. Spiegelman,et al. Testing the Goodness of Fit of a Linear Model via Nonparametric Regression Techniques , 1990 .
[3] J. O. Rawlings,et al. Applied Regression Analysis: A Research Tool , 1988 .
[4] P. Thall,et al. Some covariance models for longitudinal count data with overdispersion. , 1990, Biometrics.
[5] E. Liski,et al. Prediction in growth curve models using the EM algorithm , 1990 .
[6] Fitting numerical solutions of differential equations to experimental data: a case study and some general remarks. , 1990, Biometrics.
[7] J. N. Darroch,et al. Separating two sources of dependence in repeated influenza outbreaks , 1990 .
[8] Scott L. Zeger,et al. Generalized linear models with random e ects: a Gibbs sampling approach , 1991 .
[9] H. Drygas. Linear minimax-estimation in linear models with affine and ellipsoidal restrictions , 1991 .
[10] R. Fawcett. The Alignment Method for Displaying and Analyzing Treatments in Blocking Designs , 1990 .
[11] A general estimation procedure based on group means , 1991 .
[12] J. Matthews. The Analysis of Data from Crossover Designs: The Efficiency of Ordinary Least Squares , 1990 .
[13] L. Pace,et al. Best Conditional Tests for Separate Families of Hypotheses , 1990 .
[14] John E. Angus,et al. Regression Estimators: A Comparative Study , 1990 .
[15] Sanford Weisberg,et al. Confidence Curves in Nonlinear Regression , 1990 .
[16] S. Verrill,et al. We've Got the Positive Correlation BLUEs , 1990 .
[17] N. Nagelkerke,et al. A note on a general definition of the coefficient of determination , 1991 .
[18] A. Petkau,et al. A regression model with random effects for beer chemistry and Canadians' beer preferences , 1990 .
[19] M. H. Hansen,et al. Regression Estimates in Federal Welfare Quality Control Programs , 1990 .
[20] Patricia P. Ramsey,et al. Simple Tests of Normality in Small Samples , 1990 .
[21] C. Cox. Fieller's theorem, the likelihood and the delta method , 1990 .
[22] Orhan Erdem,et al. Regression Procedures in SAS: Problems? , 1990 .
[23] H. Nyquist. Restricted Estimation of Generalized Linear Models , 1991 .
[24] W. Piegorsch. Maximum likelihood estimation for the negative binomial dispersion parameter. , 1990, Biometrics.
[25] Ellen B. Roecker,et al. Prediction error and its estimation for subset-selected models , 1991 .
[26] Paul L. Speckman,et al. Curve fitting by polynomial-trigonometric regression , 1990 .
[27] N. Jewell,et al. Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data , 1990 .
[28] N. Breslow,et al. A small sample simulation study of methods for log odds ratio regression analysis , 1990 .
[29] D. Duffy. On continuity-corrected residuals in logistic regression , 1990 .
[30] E. Brown. A note on the asymptotic distribution of the parameter estimates for the harmonic regression model , 1990 .
[31] Chris Lloyd. Estimating the Effect of Alcohol on the Risk of a Fatal Road Accident , 1990 .
[32] R. Gray. Some diagnostic methods for Cox regression models through hazard smoothing. , 1990, Biometrics.
[33] V. K. Srivastava,et al. An Unbiased Estimator of the Covariance Matrix of the Mixed Regression Estimator , 1991 .
[34] Ray L. Marr,et al. A NU test for serial correlation of residuals from one or more regression regimes , 1991 .
[35] H. Yanai,et al. Some generalized forms of least squares g -inverse, minimum norm g -inverse, and Moore—Penrose inverse matrices , 1990 .
[36] Zhiliang Ying,et al. Large Sample Theory of a Modified Buckley-James Estimator for Regression Analysis with Censored Data , 1991 .
[37] A Ekholm. Algorithms versus models for analyzing data that contain misclassification errors. , 1991, Biometrics.
[38] Peter Guttorp,et al. Power Transformations and Tests of Environmental Impact as Interaction Effects , 1991 .
[39] Ordinary and weighted least‐squares estimators , 1990 .
[40] Jonathan D. Cryer. Statistical computing software reviews , 1991 .
[41] Bernd Schwarzmann,et al. A connection between local-influence analysis and residual diagnostics , 1991 .
[42] K. L. Q. Read,et al. Proportional Hazards Changepoint Models in Survival Analysis , 1990 .
[43] Tsuyoshi Nakamura. Corrected score function for errors-in-variables models : Methodology and application to generalized linear models , 1990 .
[44] Stephen M. Stigler,et al. The 1988 Neyman Memorial Lecture: A Galtonian Perspective on Shrinkage Estimators , 1990 .
[45] L. L. Cam,et al. Maximum likelihood : an introduction , 1990 .
[46] Computational aspects of adaptive combination of least squares and least absolute deviations estimators , 1991 .
[47] D. Heitjan,et al. Regression with bivariate grouped data. , 1991, Biometrics.
[48] O. Bunke,et al. Nonlinear regression, functional relations and robust methods , 1990 .
[49] Marvin Zelen,et al. Multinomial response models , 1991 .
[50] Chris Chatfield,et al. Avoiding Statistical Pitfalls , 1991 .
[51] L. Magee,et al. R 2 Measures Based on Wald and Likelihood Ratio Joint Significance Tests , 1990 .
[52] E. Lehmann. Model Specification: The Views of Fisher and Neyman, and Later Developments , 1990 .
[53] Karen Y. Fung,et al. A generalized estreme Studentized residual multiple-outlier-detetection procedure in linear regression , 1991 .
[54] P. L. Davies,et al. The asymptotics of S-estimators in the linear regression model , 1990 .
[55] Least-squares estimation of the contact rate in models for the spread of infectious diseases , 1990 .
[56] Gerhard Tutz,et al. Sequential models in categorical regression , 1991 .
[57] Panos Ponopoulos. Ridge regression. discussion and comparison of seven Ridge estimators , 1989 .
[58] Murray A. Jorgensen. Influence-Based Diagnostics for Finite Mixture Models , 1990 .
[59] R. Mclean,et al. A Unified Approach to Mixed Linear Models , 1991 .
[60] Roy T. St. Laurent,et al. The Equivalence of the Milliken—Graybill Procedure and the Score Test , 1990 .
[61] E. Yimamu. Problems of selecting a plausible fertility measure for Addis Ababa (based on the 1984 census data). , 1990, International statistical review = Revue internationale de statistique.
[62] K. Koehler,et al. Goodness-of-fit tests based on P—P probability plots , 1990 .
[63] A. I. Khuri,et al. Exact tests for the random and fixed effects in an unbalanced mixed two-way cross-classification model , 1990 .
[64] A. Scott,et al. Fitting Logistic Regression Models in Stratified Case-Control Studies , 1991 .
[65] Raymond J. Carroll,et al. Approximate Quasi-likelihood Estimation in Models with Surrogate Predictors , 1990 .
[66] Ronald Christensen,et al. Small-sample characterizations of near replicate lack-of-fit tests , 1991 .
[67] J. Gaillard,et al. The estimation of age-specific breeding probabilities from recaptures or resightings in vertebrate populations: II. Longitudinal models. , 1990, Biometrics.
[68] Dallas E. Johnson,et al. Analysis of messy data , 1992 .
[69] Karpinski Kf,et al. Optimality assessment in the enzyme-linked immunosorbent assay (ELISA). , 1990 .
[70] M. Mendoza. A Bayesian analysis of the slope ratio bioassay. , 1990, Biometrics.
[71] Dongcheol Kim,et al. A Bayesian Significance Test of the Stationarity of Regression Parameters , 1991 .
[72] M. Casalis. Familles Exponentielles Naturelles sur \Bbb R d Invariantes par un Groupe , 1991 .
[73] L. Sharples. Identification and accommodation of outliers in general hierarchical models , 1990 .
[74] S. Geer. Estimating a Regression Function , 1990 .
[75] A. Petkau,et al. Beer chemistry and canadians' beer preferences , 1990 .
[76] Robert Schall,et al. Diagnostics for nonlinear L p , 1991 .
[77] Douglas M. Bates,et al. Nonlinear Regression Analysis and Its Applications , 1988 .
[78] C. Field,et al. An accurate method for approximate conditional and Bayesian inference about linear regression models from censored data , 1991 .
[79] Y. Nievergelt. Fitting density functions and diffusion tensors to three-dimensional drug transport within brain tissue. , 1990 .
[80] Louis Rivest,et al. Analyse des préférences des Canadiens en matière de bière , 1990 .
[81] J Shao,et al. Estimating drug shelf-life with random batches. , 1991, Biometrics.
[82] James Stephen Marron,et al. Transformations in Density Estimation , 1991 .
[83] McGilchrist Ca,et al. Regression with frailty in survival analysis. , 1991 .
[84] J. Simonoff,et al. Higher Order Effects in Log‐Linear and Log‐Non‐Linear Models for Contingency Tables with Ordered Categories , 1991 .
[85] Douglas B. Clarkson,et al. Computing Extended Maximum Likelihood Estimates for Linear Parameter Models , 1991 .
[86] P. Grambsch,et al. Martingale-based residuals for survival models , 1990 .
[87] Ian Diamond,et al. On the fitting of generalized linear models with nonnegativity parameter constraints , 1990 .
[88] J. L. Moreno-Rebollo,et al. Outliers: A Formal Approach , 1990 .
[89] Edward L. Korn,et al. Simultaneous Testing of Regression Coefficients with Complex Survey Data: Use of Bonferroni t Statistics , 1990 .
[90] L. S. Nelson. Comments on Significance Tests and Confidence Intervals , 1990 .
[91] Alan H. Dorfman,et al. Sound Confidence Intervals in the Heteroscedastic Linear Model Through Releveraging , 1991 .
[92] Tim Dunne,et al. Influential variables in linear regression , 1990 .
[93] Yasunori Fujikoshi,et al. Selection of covariables in the growth curve model , 1991 .
[94] D. Hoaglin,et al. Food Stamp Payment Error Rates: Can State-Specific Performance Standards Be Developed? , 1990 .
[95] Chih-Ling Tsai,et al. Diagnostics in transformation and weighted regression , 1990 .
[96] Juliet Popper Shaffer,et al. The Gauss—Markov Theorem and Random Regressors , 1991 .
[97] A. Luong. Minimum Distance Methods Based on Quadratic Distances for Transforms in Simple Linear Regression Models , 1991 .
[98] Discussion of “an example showing that a new technique for LAV estimation breaks down in certain cases” , 1990 .
[99] David Fairley,et al. Robust Regression: Analysis and Applications , 1991 .
[100] P. Burman. RATES OF CONVERGENCE FOR THE ESTIMATES OF THE OPTIMAL TRANSFORMATIONS OF VARIABLES , 1991 .
[101] T. Eisenberg. The Relationship between Plaintiff Success Rates before Trial and at Trial , 1991 .
[102] P. McCullagh,et al. Bias Correction in Generalized Linear Models , 1991 .
[103] Walter W. Stroup,et al. Nearest Neighbor Adjusted Best Linear Unbiased Prediction , 1991 .
[104] B Rosner,et al. Logistic regression for clustered binary data in proband studies with application to familial aggregation of sleep disorders. , 1991, Biometrics.
[105] Nicholas P. Jewell,et al. Some Comments on Rosner's Multiple Logistic Model for Clustered Data , 1990 .
[106] A. Stein,et al. Universal kriging and cokriging as a regression procedure. , 1991 .
[107] Frank R. Lichtenberg. Aggregation of Variables in Least-Squares Regression , 1990 .
[108] A Simple Approach to Teaching Generalized Least Squares Theory , 1991 .
[109] D. Edwards. Hierarchical interaction models , 1990 .
[110] H. Edelsbrunner,et al. Computing Least Median of Squares Regression Lines and Guided Topological Sweep , 1990 .
[111] A. Tsiatis. Estimating Regression Parameters Using Linear Rank Tests for Censored Data , 1990 .
[112] Muni S. Srivastava,et al. Regression Analysis: Theory, Methods, and Applications , 1991 .
[113] R. Cook,et al. Assessing influence on predictions from generalized linear models , 1990 .
[114] G. T. Smith,et al. Application of Nonlinear Models with Random Coefficients to Growth Data , 1991 .
[115] O. Barndorff-Nielsen. Modified signed log likelihood ratio , 1991 .
[116] One-step Bootstrapping for Smooth Iterative Procedures , 1991 .
[117] An example showing that a new technique for LAV estimation breaks down in certain contingency tables , 1990 .
[118] The Singularities of Fitting Planes to Data , 1991 .
[119] J. Neter,et al. Applied Linear Regression Models , 1983 .
[120] Cherng G. Ding,et al. Evaluation of the Distribution of the Square of the Sample Multiple‐Correlation Coefficient , 1991 .
[121] A Simple Approach for Finding Estimable Functions in Linear Models , 1991 .
[122] A. Ciampi. Generalized regression trees , 1991 .
[123] Clifford M. Hurvich,et al. The impact of model selection on inference in linear regression , 1990 .
[124] R. Tibshirani,et al. Exploring the nature of covariate effects in the proportional hazards model. , 1990, Biometrics.
[125] Ronald W. Butler,et al. Randomization distributions and saddlepoint approximations in generalized linear models , 1990 .
[126] R. Bartels,et al. A Simple Characterization of Seemingly Unrelated Regressions Models in which OLS is Blue , 1991 .
[127] S. Haslett. Degrees of freedom and parameter estimability in hierarchical models for sparse complete tables , 1990 .
[128] L. Pettit. The Conditional Predictive Ordinate for the Normal Distribution , 1990 .
[129] J. Alho. Logistic regression in capture-recapture models. , 1990, Biometrics.
[130] John Sall,et al. Leverage Plots for General Linear Hypotheses , 1990 .
[131] Sik-Yum Lee,et al. Multilevel analysis of structural equation models , 1990 .
[132] Krzysztof Mosurski,et al. An extension of the results of Asmussen and Edwards on collapsibility in contingency tables , 1990 .
[133] Cullis Br,et al. A model for the analysis of growth data from designed experiments. , 1990 .
[134] Norman E. Breslow,et al. Tests of Hypotheses in Overdispersed Poisson Regression and other Quasi-Likelihood Models , 1990 .
[135] Robert F. Woolson,et al. Variable Selection to Discriminate between Two Groups: Stepwise Logistic Regression or Stepwise Discriminant Analysis? , 1991 .
[136] Robert W. Mee,et al. Regression toward the Mean and the Paired Sample t Test , 1991 .
[137] M. L. Samuels,et al. Statistical Reversion Toward the Mean: More Universal Than Regression Toward the Mean , 1991 .
[138] R. Schall. Estimation in generalized linear models with random effects , 1991 .
[139] A new algorithm for nonlinear L 1 -norm minimization with nonlinear equality constraints , 1991 .
[140] N. Jewell,et al. Some surprising results about covariate adjustment in logistic regression models , 1991 .
[141] S. Narula,et al. Inference procedures for the L 1 regression , 1991 .
[142] Implicit construction of McCulloch's G matrix for the numerical evaluation of Fisher information matrixes , 1991 .
[143] W. Swallow,et al. Using group testing to estimate a proportion, and to test the binomial model. , 1990, Biometrics.
[144] W. Thomas. Influence on Confidence Regions for Regression Coefficients in Generalized Linear Models , 1990 .
[145] Edward V. Thomas,et al. Errors-in-variables estimation in multivariate calibration , 1991 .
[146] Robert W. Mee,et al. Calibration and simultaneous tolerance intervals for regression , 1991 .
[147] David A. Ratkowsky,et al. Handbook of nonlinear regression models , 1990 .
[148] Peter J. Rousseeuw. A diagnostic plot for regression outliers and leverage points , 1991 .
[149] S. Fienberg,et al. Testing hierarchical treatment components in analysis of covariance. Response , 1991 .
[150] Nearly Parallel Lines in Residual Plots , 1990 .
[151] W. Hammond,et al. Logistic Regression Analysis in Experimental Bronchial Carcinogenesis , 1991 .
[152] D K Kimura,et al. Testing nonlinear regression parameters under heteroscedastic, normally distributed errors. , 1990, Biometrics.
[153] S. W. Cheng,et al. Testing for interaction in two-way ANOVA tables with no replication , 1990 .
[154] Chris J. Wild,et al. Fitting prospective regression models to case-control data , 1991 .
[155] D Spiegelman,et al. Cost-efficient study designs for binary response data with Gaussian covariate measurement error. , 1991, Biometrics.
[156] Rahul Mukerjee,et al. Q-designs for bioassays , 1991 .
[157] G. K. Reeves. Estimation of contrast variances in linear models , 1991 .
[158] Kjell A. Doksum,et al. On a Correspondence between Models in Binary Regression Analysis and in Survival Analysis , 1990 .
[159] Krzysztof Dzieciolowski,et al. Assessing case infIuence on confidence intervals in nonlinear regression , 1990 .
[160] B. Marx,et al. Principal component estimation for generalized linear regression , 1990 .
[161] J. T. Webster,et al. On estimating approximate degrees of freedom , 1991 .
[162] Victor Kipnis,et al. Evaluating the impact of exploratory procedures in regression prediction. A pseudosample approach , 1991 .
[163] M. Schumacher,et al. A Comparison of Regression Models for the Analysis of Ordered Categorical Data , 1991 .
[164] J. Peixoto. A Property of Well-Formulated Polynomial Regression Models , 1990 .
[165] C H Chen,et al. Diagnostic plots in Cox's regression model. , 1991, Biometrics.
[166] P. Embrechts,et al. Variations of Andrews' plots , 1991 .
[167] Charles P. Quesenberry. Screening outliers in process control regression data with uniform residulas, II. , 1990 .
[168] Byron J. T. Morgan,et al. A mixture model for interval-censored time-to-response quantal assay data , 1990 .
[169] John P. Buonaccorsi,et al. Measurement errors, linear calibration and inferences for means , 1991 .
[170] Transformations and R 2 , 1991 .
[171] Ian James,et al. Estimation of von Bertalanffy growth curve parameters from recapture data , 1991 .
[172] Ker-Chau Li,et al. Sliced Inverse Regression for Dimension Reduction , 1991 .
[173] S. Lauritzen,et al. Globally convergent algorithms for maximizing a likelihood function , 1991 .
[174] John B. Willett,et al. Improving the Teaching of Applied Statistics: Putting the Data Back into Data Analysis , 1990 .
[175] Daniel Q. Naiman,et al. Volumes of Tubular Neighborhoods of Spherical Polyhedra and Statistical Inference , 1990 .
[176] Martin L. Puterman,et al. Leverage and influence in autocorrelated regression models , 1988 .
[177] Hanfeng Chen. The Accuracy of Approximate Intervals for a Binomial Parameter , 1990 .
[178] D. Bates,et al. Nonlinear mixed effects models for repeated measures data. , 1990, Biometrics.
[179] D. L. McLeish,et al. Sequential Designs in Bioassay , 1990 .
[180] J. Ibrahim. Incomplete Data in Generalized Linear Models , 1990 .
[181] Purushottam W. Laud,et al. On Bayesian Analysis of Generalized Linear Models Using Jeffreys's Prior , 1991 .
[182] R. W. Payne. A remark on algorithm AS 65: interpreting structure formulae , 1990 .
[183] Roger E. Kirk,et al. Statistical consulting in a university: Dealing with people and other challenges , 1991 .
[184] J. R. Buxton. Some Comments on the Use of Response Variable Transformations in Empirical Modelling , 1991 .
[185] R. H. Myers,et al. Interpreting plots of a multidimensional dose-response surface in a parallel coordinate system. , 1990, Biometrics.
[186] Ayala Cohen,et al. Dummy Variables in Stepwise Regression , 1991 .
[187] Man Yu Wong. Bartlett adjustment to the likelihood ratio statistic for testing several slopes , 1991 .
[188] L. Pettit,et al. Measuring the effect of observations on Bayes factors , 1990 .
[189] K. Koehler,et al. Probability Plots and Distribution Curves for Assessing the Fit of Probability Models , 1991 .
[190] Victor J. Yohai,et al. The Breakdown Point of Simultaneous General M Estimates of Regression and Scale , 1991 .
[191] The influence of variables in a logistic model , 1991 .
[192] M. Stone. Continuum regression: Cross-validated sequentially constructed prediction embracing ordinary least s , 1990 .
[193] John M. Lachin,et al. Interim analyses with repeated measurements in a sequential clinical trial , 1990 .
[194] J. Cornell. Experiments with Mixtures: Designs, Models and the Analysis of Mixture Data , 1982 .
[195] K. Chaloner. Bayesian residual analysis in the presence of censoring , 1991 .
[196] R. Brant. Assessing proportionality in the proportional odds model for ordinal logistic regression. , 1990, Biometrics.
[197] Calyampudi R. Rao,et al. Pitman nearness in statistical estimation: A panel discussion on recent developments , 1991 .
[198] R. Gunst,et al. Influence diagnostics for linear measurement error models , 1991 .
[199] Scott L. Zeger,et al. Bootstrapping generalized linear models , 1991 .
[200] J. MacKinnon,et al. Specification Tests Based on Artificial Regressions , 1990 .
[201] J. Nelder. Generalized linear models for enzyme-kinetic data. , 1991, Biometrics.
[202] R. Spady. Saddlepoint approximations for regression models , 1991 .
[203] David Ruppert,et al. Prediction and tolerance intervals with transformation and/or weighting , 1991 .
[204] Thomas S. Shively,et al. Fast Evaluation of the Distribution of the Durbin-Watson and other Invariant Test Statistics in Time Series Regression , 1990 .
[205] W. Loh. Survival modeling through recursive stratification , 1991 .
[206] L. Kupper,et al. Effects of exposure misclassification on regression analyses of epidemiologic follow-up study data. , 1991, Biometrics.
[207] A. Pettitt,et al. Investigating Time Dependence in Cox's Proportional Hazards Model , 1990 .
[208] B. Levin. The saddlepoint correction in conditional logistic likelihood analysis , 1990 .
[209] S. Chow,et al. On the Difference between the Classical and Inverse Methods of Calibration , 1990 .
[210] W Schill,et al. Attributable risk estimation from case-control data via logistic regression. , 1991, Biometrics.
[211] P. Vos,et al. A geometric approach to detecting influential cases , 1991 .
[212] S. Puntanen,et al. A complete solution to the problem of robustness of Grubbs's test , 1990 .
[213] Hari K. Iyer,et al. Model Discrimination for Nonlinear Regression Models , 1990 .
[214] J. Gates,et al. Strict Discrete Approximation in the L1 and L∞ Norms , 1991 .
[215] G. Koch,et al. Residual plots for log odds ratio regression models. , 1991, Biometrics.
[216] K F Hirji,et al. A comparison of exact, mid-P, and score tests for matched case-control studies. , 1991, Biometrics.
[217] L. J. Wei,et al. A Lack-of-Fit Test for the Mean Function in a Generalized Linear Model , 1991 .
[218] E. Grafarend,et al. The planar trisection problem and the impact of curvature on non-linear least-squares estimation , 1991 .
[219] R. D'Agostino,et al. A Suggestion for Using Powerful and Informative Tests of Normality , 1990 .
[220] J. Lindsey. The Analysis of Categorical Data Using GLIM , 1989 .
[221] S. Sapra,et al. A Connection between the Logit Model, Normal Discriminant Analysis, and Multivariate Normal Mixtures , 1991 .
[222] W. Piegorsch. One-sided significance tests for generalized linear models under dichotomous response. , 1990, Biometrics.
[223] N. Logothetis. Box-Cox transformations and the Taguchi method , 1990 .
[224] J. Lee. A note on the conditional approach to interval estimation in the calibration problem. , 1991, Biometrics.
[225] A. Money,et al. Nonlinear Lp-Norm Estimation , 2020 .
[226] A. Atkinson,et al. Grouped Likelihood for the Shifted Power Transformation , 1991 .
[227] J M Neuhaus,et al. The effect of retrospective sampling on binary regression models for clustered data. , 1990, Biometrics.
[228] A. Atkinson,et al. Optimum experimental design for discriminating between two rival models in the presence of prior information , 1991 .
[229] Nanny Wermuth,et al. An approximation to maximum likelihood estimates in reduced models , 1990 .
[230] Philip J. Brown,et al. Double points in nonlinear calibration , 1991 .
[231] Raymond J. Carroll,et al. Score Tests in Generalized Linear Measurement Error Models , 1990 .
[232] Richard Simon,et al. Explained Residual Variation, Explained Risk, and Goodness of Fit , 1991 .
[233] J Benichou,et al. Variance calculations and confidence intervals for estimates of the attributable risk based on logistic models. , 1990, Biometrics.
[234] Simon J. Sheather,et al. Regression Diagnostics for Rank-Based Methods , 1990 .
[235] B. Carlin. An Expected Utility Approach to Influence Diagnostics , 1991 .
[236] Robert G. Staudte,et al. Influence Functions of Iteratively Reweighted Least Squares Estimators , 1991 .
[237] N. Duan. The Adjoint Projection Pursuit Regression , 1990 .
[238] Melvin T. Alexander. Learning Statistics With the Sas System , 1990 .
[239] John Hinde,et al. Statistical Modelling in GLIM. , 1989 .
[240] W. R. Rice. A Consensus Combined P-Value Test and the Family-wide Significance of Component Tests , 1990 .
[241] David R. Cox,et al. Role of Models in Statistical Analysis , 1990 .
[242] A. P. Sant’Anna. The linear model with restricted explanatory variables , 1991 .
[243] Christine Osborne,et al. Statistical Calibration: A Review , 1991 .
[244] B. Cullis,et al. Modelling in Repeated Measures Experiments , 1990 .
[245] Sequential Confidence Regions in Inverse Regression Problems , 1990 .
[246] A Tsiatis,et al. Robust estimation of the variance in moment methods for extra-binomial and extra-Poisson variation. , 1991, Biometrics.
[247] Baker Sg. A simple EM algorithm for capture-recapture data with categorical covariates. , 1990 .
[248] Juha M. Alho,et al. Adjusting for nonresponse bias using logistic regression , 1990 .
[249] Some comments on Christensen, Soliman and Rouhi's "Discussion..." , 1990 .
[250] James Stephen Marron,et al. Semiparametric Comparison of Regression Curves , 1990 .
[251] Edward J. Bedrick,et al. Outlier tests for logistic regression: A conditional approach , 1990 .
[252] Therese A. Stukel,et al. A General Model for Estimating ED 100p for Binary Response Dose-Response Data , 1990 .
[253] Alan Julian Izenman,et al. Inference for Welfare Quality Control Programs , 1990 .
[254] Iain M. Johnstone,et al. Hotelling's Theorem on the Volume of Tubes: Some Illustrations in Simultaneous Inference and Data Analysis , 1990 .
[255] R. Cook,et al. Diagnostics for Assessing the Accuracy of Normal Approximations in Exponential Family Nonlinear Models , 1990 .
[256] H. S. Lee,et al. Nonnormal linear regression; An example of significance levels in high dimensions , 1990 .
[257] Václav Fabian,et al. On the problem of interactions in the analysis of variance , 1991 .
[258] N. Wermuth,et al. On Substantive Research Hypotheses, Conditional Independence Graphs and Graphical Chain Models , 1990 .
[259] Modelling excess mortality of the unemployed: choice of scale and extra-Poisson variability. , 1990, Journal of the Royal Statistical Society. Series C, Applied statistics.
[260] J. Rao,et al. The estimation of the mean squared error of small-area estimators , 1990 .
[261] T. Hettmansperger,et al. Robust Bounded Influence Tests in Linear Models , 1990 .
[262] Tests of effect in 1: J matched case-control studies based on a modified likelihood approach , 1990 .
[263] Michael Schemper,et al. The explained variation in proportional hazards regression , 1990 .
[264] L. Brown. An Ancillarity Paradox Which Appears in Multiple Linear Regression , 1990 .
[265] D. Waddington. Matched re-expression for presentation of transformed data in linear models , 1991 .
[266] Extension of the W u statistic with applications , 1990 .
[267] Jeffrey S. Simonoff,et al. A comparison of estimators for regression with a censored response variable , 1990 .
[268] Tor D. Tosteson,et al. Designing a logistic regression study using surrogate measures for exposure and outcome , 1990 .
[269] Deconvolution-Based Score Tests in Measurement Error Models , 1991 .
[270] George A. Milliken,et al. On the Calibration Problem Extended to Nonlinear Models , 1991 .
[271] S. Ruiz-Velasco. Asymptotic efficiency of logistic regression relative to linear discriminant analysis , 1991 .
[272] Sanjit Chatterjee,et al. A note on finding extreme points in multivariate space , 1990 .
[273] Flexible L-estimation in the linear model , 1991 .
[274] Relationship between the Coefficients of Determination of Algebraically Related Models , 1991 .
[275] Douglas M. Bates,et al. Approximate inferences in multiresponse regression analysis , 1990 .
[276] J. C. van Houwelingen,et al. A goodness-of-fit test for binary regression models, based on smoothing methods , 1991 .
[277] Douglas M. Hawkins,et al. Diagnostics for use with regression recursive residuals , 1991 .
[278] Clifford M. Hurvich,et al. Bias of the corrected AIC criterion for underfitted regression and time series models , 1991 .
[279] L. Cam. On the Standard Asymptotic Confidence Ellipsoids of Wald , 1990 .
[280] William Hamilton Jefferys,et al. Robust estimation when more than one variable per equation of condition has error , 1990 .
[281] L. K. Naidu. An adjusted linear estimator , 1990 .
[282] R. Brant,et al. Comparing Classical and Resistant Outlier Rules , 1990 .
[283] H. Goldstein. Nonlinear multilevel models, with an application to discrete response data , 1991 .
[284] T. E. Dielman,et al. Testing normality of regression disturbances: a Monte Carlo study of the Filliben test , 1991 .
[285] B W Turnbull,et al. Analysis of multi-type recurrent events in longitudinal studies; application to a skin cancer prevention trial. , 1990, Biometrics.
[286] Dennis D. Boos,et al. Modifying the t and ANOVA F Tests When Treatment Is Expected to Increase Variability Relative to Controls , 1990 .
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