Foundations of Linear and Generalized Linear Models
暂无分享,去创建一个
[1] G. Boole. An Investigation of the Laws of Thought: On which are founded the mathematical theories of logic and probabilities , 2007 .
[2] F. Galton. Regression Towards Mediocrity in Hereditary Stature. , 1886 .
[3] G. Yule. On the Theory of Correlation , 1897 .
[4] K. Pearson. On the Criterion that a Given System of Deviations from the Probable in the Case of a Correlated System of Variables is Such that it Can be Reasonably Supposed to have Arisen from Random Sampling , 1900 .
[5] G. Yule,et al. On the association of attributes in statistics, with examples from the material of the childhood society, &c , 1900, Proceedings of the Royal Society of London.
[6] G. Yule. NOTES ON THE THEORY OF ASSOCIATION OF ATTRIBUTES IN STATISTICS , 1903 .
[7] G. Yule. On the Theory of Correlation for any Number of Variables, Treated by a New System of Notation , 1907 .
[8] M. Greenwood,et al. An Inquiry into the Nature of Frequency Distributions Representative of Multiple Happenings with Particular Reference to the Occurrence of Multiple Attacks of Disease or of Repeated Accidents , 1920 .
[9] K. Pearson. NOTES ON THE HISTORY OF CORRELATION , 1920 .
[10] R. Fisher. 014: On the "Probable Error" of a Coefficient of Correlation Deduced from a Small Sample. , 1921 .
[11] H. Hotelling. The Generalization of Student’s Ratio , 1931 .
[12] R. Wherry,et al. A New Formula for Predicting the Shrinkage of the Coefficient of Multiple Correlation , 1931 .
[13] W. G. Cochran,et al. The distribution of quadratic forms in a normal system, with applications to the analysis of covariance , 1934, Mathematical Proceedings of the Cambridge Philosophical Society.
[14] C. I. Bliss. THE CALCULATION OF THE DOSAGE-MORTALITY CURVE , 1935 .
[15] M. Kendall. Statistical Methods for Research Workers , 1937, Nature.
[16] M. S. Bartlett,et al. Some examples of statistical methods of research in agriculture and applied biology , 1937 .
[17] W. G. Cochran. The Analysis of Variance when Experimental Errors Follow the Poisson or Binomial Laws , 1940 .
[18] J. Berkson. Application of the Logistic Function to Bio-Assay , 1944 .
[19] D. J. Finney,et al. The estimation from individual records of the relationship between dose and quantal response. , 1947, Biometrika.
[20] M. C. K. Tweedie,et al. Functions of a statistical variate with given means, with special reference to Laplacian distributions , 1947, Mathematical Proceedings of the Cambridge Philosophical Society.
[21] Q. Mcnemar. Note on the sampling error of the difference between correlated proportions or percentages , 1947, Psychometrika.
[22] M. Bartlett,et al. The use of transformations. , 1947, Biometrics.
[23] J. G. Skellam. A Probability Distribution Derived from the Binomial Distribution by Regarding the Probability of Success as Variable between the Sets of Trials , 1948 .
[24] F. J. Anscombe,et al. THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA , 1948 .
[25] J. Tukey. One Degree of Freedom for Non-Additivity , 1949 .
[26] W. G. Cochran. The comparison of percentages in matched samples. , 1950, Biometrika.
[27] F. J. Anscombe,et al. Sampling theory of the negative binomial and logarithmic series distributions. , 1950, Biometrika.
[28] E. H. Simpson,et al. The Interpretation of Interaction in Contingency Tables , 1951 .
[29] R. A. Bradley,et al. RANK ANALYSIS OF INCOMPLETE BLOCK DESIGNS , 1952 .
[30] R. A. Bradley,et al. RANK ANALYSIS OF INCOMPLETE BLOCK DESIGNS THE METHOD OF PAIRED COMPARISONS , 1952 .
[31] C. I. Bliss,et al. FITTING THE NEGATIVE BINOMIAL DISTRIBUTION TO BIOLOGICAL DATA AND NOTE ON THE EFFICIENT FITTING OF THE NEGATIVE BINOMIAL , 1953 .
[32] W. G. Cochran. Some Methods for Strengthening the Common χ 2 Tests , 1954 .
[33] F. Yates. THE USE OF TRANSFORMATIONS AND MAXIMUM LIKELIHOOD IN THE ANALYSIS OF QUANTAL EXPERIMIENTS INVOLVING TWO TREATMENTS , 1955 .
[34] M. Kendall. Theoretical Statistics , 1956, Nature.
[35] Clyde Young Kramer,et al. Extension of multiple range tests to group means with unequal numbers of replications , 1956 .
[36] D. Cox. The Regression Analysis of Binary Sequences , 1958 .
[37] W. Haenszel,et al. Statistical aspects of the analysis of data from retrospective studies of disease. , 1959, Journal of the National Cancer Institute.
[38] H. O. Lancaster,et al. Significance Tests in Discrete Distributions , 1961 .
[39] G. Rasch. On General Laws and the Meaning of Measurement in Psychology , 1961 .
[40] J. Mosimann. On the compound multinomial distribution, the multivariate β-distribution, and correlations among proportions , 1962 .
[41] Howard Raiffa,et al. Applied Statistical Decision Theory. , 1961 .
[42] S. Warner. Multivariate Regression of Dummy Variates under Normality Assumptions , 1963 .
[43] M. W. Birch. Maximum Likelihood in Three-Way Contingency Tables , 1963 .
[44] D. Cox,et al. An Analysis of Transformations , 1964 .
[45] Irving John Good,et al. The Estimation of Probabilities: An Essay on Modern Bayesian Methods , 1965 .
[46] Samuel Karlin,et al. A First Course on Stochastic Processes , 1968 .
[47] N Mantel,et al. Models for complex contingency tables and polychotomous dosage response curves. , 1966, Biometrics.
[48] K. Gabriel,et al. Simultaneous Test Procedures for Multiple Comparisons on Categorical Data , 1966 .
[49] P. J. Huber. The behavior of maximum likelihood estimates under nonstandard conditions , 1967 .
[50] J. Kingman. A FIRST COURSE IN STOCHASTIC PROCESSES , 1967 .
[51] D. Cox,et al. A General Definition of Residuals , 1968 .
[52] Henri Theil,et al. A Multinomial Extension of the Linear Logit Model , 1969 .
[53] G. Koch,et al. Analysis of categorical data by linear models. , 1969, Biometrics.
[54] P. M. E. Altham,et al. Exact Bayesian Analysis of a 2 Times 2 Contingency Table, and Fisher's “Exact” Significance Test , 1969 .
[55] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[56] Adrien-Marie Legendre,et al. Nouvelles méthodes pour la détermination des orbites des comètes , 1970 .
[57] David R. Cox. The analysis of binary data , 1970 .
[58] John Aitchison,et al. Polychotomous quantal response by maximum indicant , 1970 .
[59] H. D. Patterson,et al. Recovery of inter-block information when block sizes are unequal , 1971 .
[60] J. Lewis,et al. Probit Analysis (3rd ed). , 1972 .
[61] D. Lindley,et al. Bayes Estimates for the Linear Model , 1972 .
[62] H. Harter. The Method of Least Squares and Some Alternatives. , 1972 .
[63] D. McFadden. Conditional logit analysis of qualitative choice behavior , 1972 .
[64] H. Akaike,et al. Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .
[65] A. F. Smith. A General Bayesian Linear Model , 1973 .
[66] G. C. Tiao,et al. Bayesian inference in statistical analysis , 1973 .
[67] T. Ferguson. A Bayesian Analysis of Some Nonparametric Problems , 1973 .
[68] L. A. Goodman. Exploratory latent structure analysis using both identifiable and unidentifiable models , 1974 .
[69] D. Rubin. Estimating causal effects of treatments in randomized and nonrandomized studies. , 1974 .
[70] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[71] R. W. Wedderburn. Quasi-likelihood functions, generalized linear models, and the Gauss-Newton method , 1974 .
[72] H. Harter. The Method of Least Squares and Some Alternatives: Part III , 1975 .
[73] B. Efron,et al. Data Analysis Using Stein's Estimator and its Generalizations , 1975 .
[74] R. McKelvey,et al. A statistical model for the analysis of ordinal level dependent variables , 1975 .
[75] J. A. Anderson,et al. Quadratic logistic discrimination , 1975 .
[76] C. R. Henderson,et al. Best linear unbiased estimation and prediction under a selection model. , 1975, Biometrics.
[77] David A. Harville,et al. Extension of the Gauss-Markov Theorem to Include the Estimation of Random Effects , 1976 .
[78] R. W. Wedderburn,et al. On the existence and uniqueness of the maximum likelihood estimates for certain generalized linear models , 1976 .
[79] Franklin A. Graybill,et al. Theory and Application of the Linear Model , 1976 .
[80] P. Holland,et al. Discrete Multivariate Analysis. , 1976 .
[81] D. Harville. Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems , 1977 .
[82] W. Hauck,et al. Wald's Test as Applied to Hypotheses in Logit Analysis , 1977 .
[83] Martin Crowder,et al. Beta-binomial Anova for Proportions , 1978 .
[84] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[85] P. Altham,et al. Two Generalizations of the Binomial Distribution , 1978 .
[86] B. Efron,et al. Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information , 1978 .
[87] R. Welsch,et al. The Hat Matrix in Regression and ANOVA , 1978 .
[88] W. Cleveland. Robust Locally Weighted Regression and Smoothing Scatterplots , 1979 .
[89] P. McCullagh. Regression Models for Ordinal Data , 1980 .
[90] T. Speed,et al. Markov Fields and Log-Linear Interaction Models for Contingency Tables , 1980 .
[91] Murray Aitkin,et al. The Fitting of Exponential, Weibull and Extreme Value Distributions to Complex Censored Survival Data using GLIM , 1980 .
[92] D. Pregibon. Goodness of Link Tests for Generalized Linear Models , 1980 .
[93] T. Holford. The analysis of rates and of survivorship using log-linear models. , 1980, Biometrics.
[94] W. W. Muir,et al. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity , 1980 .
[95] F. Krauss. Latent Structure Analysis , 1980 .
[96] A. Tsiatis. A note on a goodness-of-fit test for the logistic regression model , 1980 .
[97] Erling B. Andersen,et al. Discrete Statistical Models with Social Science Applications. , 1980 .
[98] Frederick R. Forst,et al. On robust estimation of the location parameter , 1980 .
[99] H. White. A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity , 1980 .
[100] D. Pregibon. Logistic Regression Diagnostics , 1981 .
[101] W. Hays. Applied Regression Analysis. 2nd ed. , 1981 .
[102] J. Anderson,et al. Regression, Discrimination and Measurement Models for Ordered Categorical Variables , 1981 .
[103] Murray Aitkin,et al. Statistical Modelling of Data on Teaching Styles , 1981 .
[104] Francisco J. Aranda-Ordaz,et al. On Two Families of Transformations to Additivity for Binary Response Data , 1981 .
[105] S. Stigler. Gauss and the Invention of Least Squares , 1981 .
[106] R. D. Bock,et al. Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm , 1981 .
[107] S. Weisberg,et al. Residuals and Influence in Regression , 1982 .
[108] J. Ware,et al. Random-effects models for longitudinal data. , 1982, Biometrics.
[109] H. White. Maximum Likelihood Estimation of Misspecified Models , 1982 .
[110] C. Morris. Natural Exponential Families with Quadratic Variance Functions , 1982 .
[111] D. Pierce. The Asymptotic Effect of Substituting Estimators for Parameters in Certain Types of Statistics , 1982 .
[112] D. A. Williams,et al. Extra‐Binomial Variation in Logistic Linear Models , 1982 .
[113] J. Hanley,et al. The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.
[114] D. Pregibon. Score Tests in GLIM with Applications , 1982 .
[115] L. Hansen. Large Sample Properties of Generalized Method of Moments Estimators , 1982 .
[116] J. Copas. Plotting p against x , 1983 .
[117] P. McCullagh. Quasi-Likelihood Functions , 1983 .
[118] C. Morris. Parametric Empirical Bayes Inference: Theory and Applications , 1983 .
[119] Bent Jørgensen,et al. Maximum likelihood estimation and large-sample inference for generalized linear and nonlinear regression models , 1983 .
[120] C. Morris. Natural Exponential Families with Quadratic Variance Functions: Statistical Theory , 1983 .
[121] E. Frome. The analysis of rates using Poisson regression models. , 1983, Biometrics.
[122] D. Rubin,et al. The central role of the propensity score in observational studies for causal effects , 1983 .
[123] C. Gouriéroux,et al. PSEUDO MAXIMUM LIKELIHOOD METHODS: THEORY , 1984 .
[124] J. Rodgers,et al. Linearly Independent, Orthogonal, and Uncorrelated Variables , 1984 .
[125] Peter E. Rossi,et al. Bayesian analysis of dichotomous quantal response models , 1984 .
[126] Ross L. Prentice,et al. Likelihood inference in a correlated probit regression model , 1984 .
[127] P. Green. Iteratively reweighted least squares for maximum likelihood estimation , 1984 .
[128] P. Rousseeuw. Least Median of Squares Regression , 1984 .
[129] A. Hayter. A Proof of the Conjecture that the TUKEY-KRAMER Multiple Comparisons Procedure is Conservative , 1984 .
[130] T. Amemiya. Tobit models: A survey , 1984 .
[131] P. M. E. Altham,et al. Improving the Precision of Estimation by Fitting a Model , 1984 .
[132] N. Breslow. Extra‐Poisson Variation in Log‐Linear Models , 1984 .
[133] P. McCullagh. Analysis of Ordinal Categorical Data , 1985 .
[134] F. C. Genter,et al. Goodness‐of‐link testing in ordinal regression models , 1985 .
[135] D. Rubin,et al. Estimation and Hypothesis Testing in Finite Mixture Models , 1985 .
[136] R. Royall. Model robust confidence intervals using maximum likelihood estimators , 1986 .
[137] S. Weisberg,et al. Applied Linear Regression (2nd ed.). , 1986 .
[138] D. Pierce,et al. Residuals in Generalized Linear Models , 1986 .
[139] Ross L. Prentice,et al. Binary Regression Using an Extended Beta-Binomial Distribution, with Discussion of Correlation Induced by Covariate Measurement Errors , 1986 .
[140] D. Krewski,et al. Statistical Methods in Cancer Research: Volume III: The Design and Analysis of Long-Term Animal Experiments , 1987 .
[141] R. Cook. Assessment of Local Influence , 1986 .
[142] A. C. Atkinson. [Influential Observations, High Leverage Points, and Outliers in Linear Regression]: Comment: Aspects of Diagnostic Regression Analysis , 1986 .
[143] J. Mullahy. Specification and testing of some modified count data models , 1986 .
[144] S. Zeger,et al. Longitudinal data analysis using generalized linear models , 1986 .
[145] F. Harrell,et al. Partial Proportional Odds Models for Ordinal Response Variables , 1990 .
[146] K. Liang,et al. Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests under Nonstandard Conditions , 1987 .
[147] D. A. Williams,et al. Generalized Linear Model Diagnostics Using the Deviance and Single Case Deletions , 1987 .
[148] D. Cox,et al. Parameter Orthogonality and Approximate Conditional Inference , 1987 .
[149] B. Jørgensen. Exponential Dispersion Models , 1987 .
[150] M. Kendall,et al. Kendall's advanced theory of statistics , 1995 .
[151] J. Lawless. Negative binomial and mixed Poisson regression , 1987 .
[152] Douglas M. Bates,et al. Nonlinear Regression Analysis and Its Applications , 1988 .
[153] S. Stigler,et al. The History of Statistics: The Measurement of Uncertainty before 1900 by Stephen M. Stigler (review) , 1986, Technology and Culture.
[154] Ronald Christensen,et al. Plane Answers to Complex Questions: The Theory of Linear Models , 1989 .
[155] David W. Hosmer,et al. Applied Logistic Regression , 1991 .
[156] Therese A. Stukel,et al. Generalized logistic models , 1988 .
[157] W. Cleveland. The Collected Works of John W. Tukey, Volume V, Graphics 1965-1985. , 1989 .
[158] Adrian F. M. Smith,et al. Sampling-Based Approaches to Calculating Marginal Densities , 1990 .
[159] Ludwig Fahrmexr,et al. Maximum likelihood estimation in misspecified generalized linear models , 1990 .
[160] Scott L. Zeger,et al. Generalized linear models with random e ects: a Gibbs sampling approach , 1991 .
[161] A. Hossain,et al. A comparative study on detection of influential observations in linear regression , 1991 .
[162] B. Lindsay,et al. Semiparametric Estimation in the Rasch Model and Related Exponential Response Models, Including a Simple Latent Class Model for Item Analysis , 1991 .
[163] G. Robinson. That BLUP is a Good Thing: The Estimation of Random Effects , 1991 .
[164] Eric R. Ziegel,et al. Analysis of Binary Data (2nd ed.) , 1991 .
[165] A Tsiatis,et al. Robust estimation of the variance in moment methods for extra-binomial and extra-Poisson variation. , 1991, Biometrics.
[166] S. Lipsitz,et al. Generalized estimating equations for correlated binary data: Using the odds ratio as a measure of association , 1991 .
[167] A. Agresti. [A Survey of Exact Inference for Contingency Tables]: Rejoinder , 1992 .
[168] Anthony C. Davison,et al. Regression model diagnostics , 1992 .
[169] G. Casella,et al. Explaining the Gibbs Sampler , 1992 .
[170] J. H. Schuenemeyer,et al. Generalized Linear Models (2nd ed.) , 1992 .
[171] Eugene Seneta,et al. On the history of the Strong Law of Large Numbers and Boole's inequality , 1992 .
[172] Diane Lambert,et al. Zero-inflacted Poisson regression, with an application to defects in manufacturing , 1992 .
[173] Andrea Rotnitzky,et al. Regression Models for Discrete Longitudinal Responses , 1993 .
[174] Leslie E. Papke,et al. Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates , 1993 .
[175] S. Chib,et al. Bayesian analysis of binary and polychotomous response data , 1993 .
[176] N. Breslow,et al. Approximate inference in generalized linear mixed models , 1993 .
[177] P. Diggle,et al. Modelling multivariate binary data with alternating logistic regressions , 1993 .
[178] C. Mallows,et al. Exchangeability and data analysis , 1993 .
[179] D. Firth. Bias reduction of maximum likelihood estimates , 1993 .
[180] K Y Liang,et al. Case studies in binary dispersion. , 1993, Biometrics.
[181] K. Liang,et al. On the use of the quasi-likelihood method in teratological experiments. , 1994, Biometrics.
[182] Richard M. Brugger. Univariate Discrete Distributions (2nd Ed.) , 1994 .
[183] L. Fahrmeir,et al. Multivariate statistical modelling based on generalized linear models , 1994 .
[184] V. Seshadri. The Inverse Gaussian Distribution: A Case Study in Exponential Families , 1994 .
[185] A. Azzalini. Logistic regression for autocorrelated data with application to repeated measures , 1994 .
[186] B. Silverman,et al. Nonparametric regression and generalized linear models , 1994 .
[187] Qing Liu,et al. A note on Gauss—Hermite quadrature , 1994 .
[188] A. Agresti,et al. Simultaneously Modeling Joint and Marginal Distributions of Multivariate Categorical Responses , 1994 .
[189] A. Raftery. Bayesian Model Selection in Social Research , 1995 .
[190] Nitin R. Patel,et al. Exact logistic regression: theory and examples. , 1995, Statistics in medicine.
[191] J. York,et al. Bayesian Graphical Models for Discrete Data , 1995 .
[192] L. Wasserman,et al. A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion , 1995 .
[193] David Draper,et al. Assessment and Propagation of Model Uncertainty , 2011 .
[194] K. Chaloner,et al. Bayesian Experimental Design: A Review , 1995 .
[195] P. Diggle. Analysis of Longitudinal Data , 1995 .
[196] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[197] C. Wild,et al. Vector Generalized Additive Models , 1996 .
[198] Anthony O'Hagan,et al. Kendall's Advanced Theory of Statistics: Vol. 2B, Bayesian Inference. , 1996 .
[199] Harvey Goldstein,et al. League Tables and Their Limitations: Statistical Issues in Comparisons of Institutional Performance , 1996 .
[200] Paul H. C. Eilers,et al. Flexible smoothing with B-splines and penalties , 1996 .
[201] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[202] G. Tutz,et al. Random effects in ordinal regression models , 1996 .
[203] J. Nelder,et al. Hierarchical Generalized Linear Models , 1996 .
[204] L. Wasserman,et al. The Selection of Prior Distributions by Formal Rules , 1996 .
[205] Peter R. Nelson,et al. Multiple Comparisons: Theory and Methods , 1997 .
[206] R. Dennis Cook,et al. Graphics for Assessing the Adequacy of Regression Models , 1997 .
[207] X L Meng,et al. The EM algorithm and medical studies: a historical linik , 1997, Statistical methods in medical research.
[208] Luigi Pace,et al. Principles of statistical inference : from a neo-Fisherian perspective , 1997 .
[209] D. Madigan,et al. Bayesian Model Averaging for Linear Regression Models , 1997 .
[210] E. George,et al. APPROACHES FOR BAYESIAN VARIABLE SELECTION , 1997 .
[211] J. Booth,et al. Standard Errors of Prediction in Generalized Linear Mixed Models , 1998 .
[212] T. Fearn,et al. Multivariate Bayesian variable selection and prediction , 1998 .
[213] John Hinde,et al. Overdispersion: models and estimation , 1998 .
[214] J. Lindsey,et al. Analysis of the human sex ratio by using overdispersion models , 2002, Journal of the Royal Statistical Society. Series C, Applied statistics.
[215] Michael I. Jordan. Graphical Models , 2003 .
[216] J. Simonoff. Smoothing Methods in Statistics , 1998 .
[217] C. T. Moore,et al. Diet and Condition of American Alligators in 4 Florida Lakes , 1999 .
[218] Richard F. Gunst,et al. Applied Regression Analysis , 1999, Technometrics.
[219] Ananda Sen,et al. The Theory of Dispersion Models , 1997, Technometrics.
[220] B. Mallick,et al. Generalized Linear Models : A Bayesian Perspective , 2000 .
[221] A Agresti,et al. Summarizing the predictive power of a generalized linear model. , 2000, Statistics in medicine.
[222] Arthur E. Hoerl,et al. Ridge Regression: Biased Estimation for Nonorthogonal Problems , 2000, Technometrics.
[223] J. Booth,et al. 2. Random-Effects Modeling of Categorical Response Data , 2000 .
[224] E. George. The Variable Selection Problem , 2000 .
[225] A. Agresti,et al. Random Effects Modeling of Multiple Binomial Responses Using the Multivariate Binomial Logit‐Normal Distribution , 2000, Biometrics.
[226] Kalyan Das,et al. Linear algebra and linear models , 2000 .
[227] R C Littell,et al. Mixed Models: Modelling Covariance Structure in the Analysis of Repeated Measures Data , 2005 .
[228] Scott L. Zeger,et al. Marginalized Multilevel Models and Likelihood Inference , 2000 .
[229] Y. Benjamini,et al. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY , 2001 .
[230] Melissa J. Dobbie,et al. Models for zero-inflated count data using the Neyman type A distribution , 2001 .
[231] A. Agresti,et al. Multinomial logit random effects models , 2001 .
[232] Ana Ivelisse Avilés,et al. Linear Mixed Models for Longitudinal Data , 2001, Technometrics.
[233] J. Hinde,et al. A Score Test for Testing a Zero‐Inflated Poisson Regression Model Against Zero‐Inflated Negative Binomial Alternatives , 2001, Biometrics.
[234] E. Ronchetti,et al. Robust Inference for Generalized Linear Models , 2001 .
[235] R. Carroll,et al. A Note on the Efficiency of Sandwich Covariance Matrix Estimation , 2001 .
[236] M. Schemper,et al. A solution to the problem of separation in logistic regression , 2002, Statistics in medicine.
[237] Eric R. Ziegel,et al. Generalized Linear Models , 2002, Technometrics.
[238] J. T. Wulu,et al. Regression analysis of count data , 2002 .
[239] Kenneth Portier,et al. Robust Diagnostic Regression Analysis , 2002, Technometrics.
[240] Eric R. Ziegel,et al. An Introduction to Generalized Linear Models , 2002, Technometrics.
[241] Eric R. Ziegel,et al. Multivariate Statistical Modelling Based on Generalized Linear Models , 2002, Technometrics.
[242] Bradley P. Carlin,et al. Bayesian measures of model complexity and fit , 2002 .
[243] Henry Braun,et al. John W. Tukey's contributions to multiple comparisons , 2002 .
[244] Joseph B. Lang,et al. Multinomial-Poisson homogeneous models for contingency tables , 2003 .
[245] Arx,et al. Generalized Linear Additive Smooth Structures , 2003 .
[246] D. Sengupta. Linear models , 2003 .
[247] Felix Famoye,et al. Plane Answers to Complex Questions: Theory of Linear Models , 2003, Technometrics.
[248] M. Peruggia. Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (2nd ed.) , 2003 .
[249] Herwig Friedl,et al. Negative binomial loglinear mixed models , 2003 .
[250] S. Dudoit,et al. Multiple Hypothesis Testing in Microarray Experiments , 2003 .
[251] Mark Von Tress,et al. Generalized, Linear, and Mixed Models , 2003, Technometrics.
[252] Gordon K. Smyth,et al. Pearson's goodness of fit statistic as a score test statistic , 2003 .
[253] Karl J. Friston,et al. Variance Components , 2003 .
[254] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[255] Tapabrata Maiti,et al. Analysis of Longitudinal Data (2nd ed.) (Book) , 2004 .
[256] Dennis D. Boos,et al. The IOS Test for Model Misspecification , 2004 .
[257] Russell V. Lenth,et al. Statistical Analysis With Missing Data (2nd ed.) (Book) , 2004 .
[258] Anja Vogler,et al. An Introduction to Multivariate Statistical Analysis , 2004 .
[259] Alan Agresti,et al. Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies , 2004, Comput. Stat. Data Anal..
[260] C. Anderson‐Cook,et al. An Introduction to Multivariate Statistical Analysis (3rd ed.) (Book) , 2004 .
[261] G. Lovison. On Rao score and PearsonX2 statistics in generalized linear models , 2005 .
[262] D. Dunson,et al. Bayesian latent variable models for mixed discrete outcomes. , 2005, Biostatistics.
[263] Malik Beshir Malik,et al. Applied Linear Regression , 2005, Technometrics.
[264] S. Lipsitz,et al. Missing-Data Methods for Generalized Linear Models , 2005 .
[265] G. Molenberghs. Applied Longitudinal Analysis , 2005 .
[266] G. Molenberghs,et al. Models for Discrete Longitudinal Data , 2005 .
[267] Alan Agresti,et al. Random effect models for repeated measures of zero-inflated count data , 2005 .
[268] H. Keselman,et al. Multiple Comparison Procedures , 2005 .
[269] C. McCulloch,et al. Generalized Linear Mixed Models , 2005 .
[270] H. Zou,et al. Regularization and variable selection via the elastic net , 2005 .
[271] Joseph B. Lang,et al. Homogeneous Linear Predictor Models for Contingency Tables , 2005 .
[272] Charles E. Heckler,et al. Applied Multivariate Statistical Analysis , 2005, Technometrics.
[273] Stan Lipovetsky,et al. Generalized Latent Variable Modeling: Multilevel,Longitudinal, and Structural Equation Models , 2005, Technometrics.
[274] P. Gustafson,et al. Conservative prior distributions for variance parameters in hierarchical models , 2006 .
[275] Donald Hedeker,et al. Longitudinal Data Analysis , 2006 .
[276] H. Zou. The Adaptive Lasso and Its Oracle Properties , 2006 .
[277] J. Nelder,et al. Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood , 2006 .
[278] J. Berger. The case for objective Bayesian analysis , 2006 .
[279] Anthony C. Davison,et al. Applied Asymptotics: Case Studies in Small-Sample Statistics , 2007 .
[280] Alan Y. Chiang,et al. Generalized Additive Models: An Introduction With R , 2007, Technometrics.
[281] Francesco Bartolucci,et al. An extended class of marginal link functions for modelling contingency tables by equality and inequality constraints , 2007 .
[282] Pravin K. Trivedi,et al. Copula Modeling: An Introduction for Practitioners , 2007 .
[283] R. Lindrooth,et al. Controlling for Overdispersion in Grouped Conditional Logit Models: A Computationally Simple Application of Dirichlet-Multinomial Regression , 2007 .
[284] Nairanjana Dasgupta,et al. Bayesian Models for Categorical Data , 2007, Technometrics.
[285] C. Gallagher. Extending the Linear Model With R: Generalized Linear, Mixed Effects and Nonparametric Regression Models , 2007 .
[286] J. Hilbe. Negative Binomial Regression: Preface , 2007 .
[287] M. G. Pittau,et al. A weakly informative default prior distribution for logistic and other regression models , 2008, 0901.4011.
[288] Alan Julian Izenman,et al. Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning , 2008 .
[289] Alessio Farcomeni,et al. A review of modern multiple hypothesis testing, with particular attention to the false discovery proportion , 2008, Statistical methods in medical research.
[290] G. Casella,et al. The Bayesian Lasso , 2008 .
[291] John F. Monahan,et al. A Primer on Linear Models , 2008 .
[292] John Fox,et al. Applied Regression Analysis and Generalized Linear Models , 2008 .
[293] Brett Presnell,et al. Misspecification tests for binomial and beta‐binomial models , 2008, Statistics in medicine.
[294] C. Robert,et al. Bayesian Modeling Using WinBUGS , 2009 .
[295] Chris Hans. Bayesian lasso regression , 2009 .
[296] B. Caffo,et al. MULTILEVEL FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS. , 2009, The annals of applied statistics.
[297] Joseph Hilbe,et al. Data Analysis Using Regression and Multilevel/Hierarchical Models , 2009 .
[298] John Hinde,et al. Statistical Modelling in R , 2009 .
[299] Wicher Bergsma,et al. Marginal models for dependent, clustered, and longitudinal categorical data , 2009 .
[300] Ana-Maria Staicu,et al. Generalized Multilevel Functional Regression , 2009, Journal of the American Statistical Association.
[301] Peter D. Hoff,et al. A First Course in Bayesian Statistical Methods , 2009 .
[302] L. McCandless. Bayesian methods for data analysis (3rd edn). Bradley P. Carlin and Thomas A. Louis, Chapman & Hall/CRC, Boca Raton, 2008. No. of pages: 552. Price: $69.95. ISBN 9781584886976 , 2009 .
[303] André I. Khuri,et al. Linear Model Methodology , 2009 .
[304] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[305] Mc Borja,et al. An Introduction to Generalized Linear Models, 3rd edition , 2009 .
[306] Xiao-Li Meng,et al. Decoding the H-likelihood , 2009, 1010.0810.
[307] Ronald Christensen,et al. Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians , 2010 .
[308] John P. Buonaccorsi,et al. Measurement Error: Models, Methods, and Applications , 2010 .
[309] J. A. Díaz-García,et al. On Wishart distribution , 2010, 1010.1799.
[310] James G. Scott,et al. The horseshoe estimator for sparse signals , 2010 .
[311] Yoav Benjamini,et al. Simultaneous and selective inference: Current successes and future challenges , 2010, Biometrical journal. Biometrische Zeitschrift.
[312] C. Ireland,et al. Analysis of frequency data. , 2010 .
[313] Paul H. C. Eilers,et al. Splines, knots, and penalties , 2010 .
[314] Henrik Madsen,et al. Introduction to General and Generalized Linear Models , 2010 .
[315] C. C. Heyde,et al. Quasi-likelihood and Optimal Estimation , 2010 .
[316] Jianqing Fan,et al. A Selective Overview of Variable Selection in High Dimensional Feature Space. , 2009, Statistica Sinica.
[317] J. Copas,et al. Likelihood for statistically equivalent models , 2010 .
[318] Matt Taddy,et al. Multinomial Inverse Regression for Text Analysis , 2010, 1012.2098.
[319] J. Neuhaus,et al. Prediction of Random Effects in Linear and Generalized Linear Models under Model Misspecification , 2011, Biometrics.
[320] Ivy Liu,et al. Analysis of Ordinal Categorical Data, 2nd edn by Alan Agresti , 2011 .
[321] N. Reid,et al. AN OVERVIEW OF COMPOSITE LIKELIHOOD METHODS , 2011 .
[322] S. Lahiri,et al. Bootstrapping Lasso Estimators , 2011 .
[323] Sara van de Geer,et al. Statistics for High-Dimensional Data , 2011 .
[324] David Firth,et al. Multinomial logit bias reduction via the Poisson log-linear model , 2011 .
[325] Hans-Georg Müller,et al. Functional Data Analysis , 2016 .
[326] Andrej Pázman,et al. Nonlinear Regression , 2019, Handbook of Regression Analysis With Applications in R.
[327] Danny Pfeffermann,et al. Small Area Estimation , 2011, International Encyclopedia of Statistical Science.
[328] James G. Scott,et al. Shrink Globally, Act Locally: Sparse Bayesian Regularization and Prediction , 2022 .
[329] Gerald J. Hahn,et al. Applied Regression Analysis (2nd Ed.) , 2012 .
[330] Jon Wakefield,et al. Bayesian and Frequentist Regression Methods , 2013 .
[331] Anestis Touloumis,et al. GEE for Multinomial Responses Using a Local Odds Ratios Parameterization , 2013, Biometrics.
[332] Cristina Davino,et al. Quantile Regression: Theory and Applications , 2013 .
[333] Jeffrey S. Simonoff,et al. The SAGE Handbook of Multilevel Modeling , 2013 .
[334] Jonathan E. Taylor. The geometry of least squares in the 21st century , 2013, 1309.7837.
[335] Daniela M. Witten,et al. An Introduction to Statistical Learning: with Applications in R , 2013 .
[336] Ludwig Fahrmeir,et al. Regression: Models, Methods and Applications , 2013 .
[337] Eugene Demidenko,et al. Mixed Models: Theory and Applications with R , 2013 .
[338] J. Griffin,et al. Some Priors for Sparse Regression Modelling , 2013 .
[339] Eric M. Sobel,et al. Using League Table Rankings in Public Policy Formation : Statistical Issues , 2014 .
[340] A. C. Davison,et al. Statistical models: Name Index , 2003 .
[341] G. Lovison. A note on adjusted responses, fitted values and residuals in Generalized Linear Models , 2014 .
[342] Peter Bühlmann,et al. High-Dimensional Statistics with a View Toward Applications in Biology , 2014 .
[343] Radu V. Craiu,et al. Bayesian Computation Via Markov Chain Monte Carlo , 2014 .
[344] Ioannis Kosmidis,et al. Improved estimation in cumulative link models , 2012, 1204.0105.
[345] R. Tibshirani,et al. A SIGNIFICANCE TEST FOR THE LASSO. , 2013, Annals of statistics.
[346] N. G. Best,et al. The deviance information criterion: 12 years on , 2014 .
[347] Veronika Rockova,et al. EMVS: The EM Approach to Bayesian Variable Selection , 2014 .
[348] R. Tibshirani,et al. Generalized Additive Models , 1986 .
[349] James O. Berger,et al. Overall Objective Priors , 2015, 1504.02689.
[350] Sophia Decker. Fundamentals Of Exploratory Analysis Of Variance , 2016 .
[351] Adrian E. Raftery,et al. Bayesian Model Averaging: A Tutorial , 2016 .
[352] Regressions are Commonly Misinterpreted , 2016 .
[353] Steffen Beich. Alternative Methods Of Regression , 2016 .
[354] Florian Heiss,et al. Discrete Choice Methods with Simulation , 2016 .
[355] J. Wishart,et al. What Is "Probable Error"? , 2022 .
[356] G. Yule. On the Methods of Measuring Association between Two Attributes , 1912 .