Understanding Relationships Using Copulas
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[1] W. M. Makeham. On an application of the Theory of the Composition of Decremental Forces , 1874 .
[2] F. Galton. Regression Towards Mediocrity in Hereditary Stature. , 1886 .
[3] M. Sklar. Fonctions de repartition a n dimensions et leurs marges , 1959 .
[4] T. W. Anderson. An Introduction to Multivariate Statistical Analysis , 1959 .
[5] E. Gumbel. Bivariate Exponential Distributions , 1960 .
[6] I. Olkin,et al. A Multivariate Exponential Distribution , 1967 .
[7] H. Seal. Studies in the history of probability and statistics. XV. The historical velopment of the Gauss linear model. , 1967, Biometrika.
[8] H. Seal. Studies in the history of probability and statistics , 1977 .
[9] C. M. Parkes,et al. Broken Heart: A Statistical Study of Increased Mortality among Widowers , 1969, British medical journal.
[10] Abe Sklar,et al. Random variables, joint distribution functions, and copulas , 1973, Kybernetika.
[11] W. R. Buckland,et al. Distributions in Statistics: Continuous Multivariate Distributions , 1973 .
[12] A. Ward. Mortality of bereavement. , 1976, British medical journal.
[13] A. Tchen. Inequalities for distributions with given marginals , 1976 .
[14] J. D. T. Oliveira,et al. The Asymptotic Theory of Extreme Order Statistics , 1979 .
[15] M. J. Frank. On the simultaneous associativity ofF(x, y) andx+y−F(x, y) , 1978 .
[16] H. A. David. The theory of competing risks , 1980 .
[17] D. Clayton. A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence , 1978 .
[18] N. L. Johnson,et al. Survival Models and Data Analysis , 1982 .
[19] M. E. Johnson,et al. A Bivariate Distribution Family with Specified Marginals , 1981 .
[20] M. E. Johnson,et al. A Family of Distributions for Modelling Non‐Elliptically Symmetric Multivariate Data , 1981 .
[21] B. Schweizer,et al. On Nonparametric Measures of Dependence for Random Variables , 1981 .
[22] R. Iman,et al. A distribution-free approach to inducing rank correlation among input variables , 1982 .
[23] Richard A. Johnson,et al. Applied Multivariate Statistical Analysis , 1983 .
[24] E. Klement. Construction of Fuzzy σ-algebras using triangular norms , 1982 .
[25] D. Oakes. A Model for Association in Bivariate Survival Data , 1982 .
[26] M. Goovaerts,et al. Ordering of risks: a review , 1982 .
[27] E. Klement. Characterization of fuzzy measures constructed by means of triangular norms , 1982 .
[28] Marc Goovaerts,et al. Insurance premiums: Theory and applications , 1984 .
[29] Philip Hougaard,et al. Life table methods for heterogeneous populations: Distributions describing the heterogeneity , 1984 .
[30] D. Cox,et al. Analysis of Survival Data. , 1985 .
[31] Marco Scarsini,et al. On measures of concordance , 1984 .
[32] C. Genest,et al. The Joy of Copulas: Bivariate Distributions with Uniform Marginals , 1986 .
[33] R. Nelsen. Properties of a one-parameter family of bivariate distributions with specified marginals , 1986 .
[34] P. Hougaard. A class of multivanate failure time distributions , 1986 .
[35] Christian Genest,et al. Copules archimédiennes et families de lois bidimensionnelles dont les marges sont données , 1986 .
[36] C. Genest. Frank's family of bivariate distributions , 1987 .
[37] Philip Hougaard,et al. Modelling multivariate survival , 1987 .
[38] G. Kimeldorf,et al. Positive dependence orderings , 1987 .
[39] Stephen M. Stigler. The History of Statistics: The Measurement of Uncertainty before 1900 , 1986 .
[40] I. Olkin,et al. Families of Multivariate Distributions , 1988 .
[41] Richard L. Burden,et al. Numerical analysis: 4th ed , 1988 .
[42] Wojtek J. Krzanowski,et al. Principles of multivariate analysis : a user's perspective. oxford , 1988 .
[43] Jonathan A. Tawn,et al. Bivariate extreme value theory: Models and estimation , 1988 .
[44] G. Kimeldorf,et al. A framework for positive dependence , 1989, Annals of the Institute of Statistical Mathematics.
[45] D. Oakes,et al. Bivariate survival models induced by frailties , 1989 .
[46] C. Genest,et al. A characterization of gumbel's family of extreme value distributions , 1989 .
[47] M. Bilodeau. On the monotone regression dependence for archimedian bivariate uniform , 1989 .
[48] Jonathan A. Tawn,et al. Statistics of Multivariate Extremes , 1990 .
[49] Engin A. Sungur. Dependence Information in Parameterized Copulas , 1990 .
[50] C. Jagger,et al. Death after marital bereavement--is the risk increased? , 1991, Statistics in medicine.
[51] A Family of Partial Orderings for Positive Dependence Among Fixed Marginal Bivariate Distributions. , 1991 .
[52] A. W. Kemp,et al. Continuous Bivariate Distributions, Emphasising Applications , 1991 .
[53] Paul Deheuvels,et al. On the limiting behavior of the Pickands estimator for bivariate extreme-value distributions , 1991 .
[54] B. Schweizer,et al. Thirty Years of Copulas , 1991 .
[55] K. Mosler,et al. Stochastic orders and decision under risk , 1991 .
[56] Jack Meyer. Beneficial Changes in Random Variables Under Multiple Sources of Risk and Their Comparative Statics , 1992 .
[57] Philip Hougaard,et al. Measuring the Similarities between the Lifetimes of Adult Danish Twins Born between 1881–1930 , 1992 .
[58] Josef Hadar,et al. A Note on Beneficial Changes in Random Variables , 1992 .
[59] C. Genest,et al. Statistical Inference Procedures for Bivariate Archimedean Copulas , 1993 .
[60] Harry Joe,et al. Parametric families of multivariate distributions with given margins , 1993 .
[61] Alan J. Lee,et al. Generating Random Binary Deviates Having Fixed Marginal Distributions and Specified Degrees of Association , 1993 .
[62] G. Maguluri. Semiparametric Estimation of Association in a Bivariate Survival Function , 1993 .
[63] J. Carriére. DEPENDENT DECREMENT THEORY , 1994 .
[64] J. Carriére. A large sample test for one parameter families of copulas , 1994 .
[65] D. Oakes. Multivariate survival distributions , 1994 .
[66] S. G. Meester,et al. A parametric model for cluster correlated categorical data. , 1994, Biometrics.
[67] Marc Goovaerts,et al. Ordering of actuarial risks , 1994 .
[68] Luisa Tibiletti,et al. Beneficial changes in random variables via copulas: An application to insurance , 1995 .
[69] John P. Klein,et al. Estimates of marginal survival for dependent competing risks based on an assumed copula , 1995 .
[70] Edward W. Frees,et al. Data Analysis Using Regression Models: The Business Perspective , 1995 .
[71] C. Genest,et al. A semiparametric estimation procedure of dependence parameters in multivariate families of distributions , 1995 .
[72] T. Louis,et al. Inferences on the association parameter in copula models for bivariate survival data. , 1995, Biometrics.
[73] Shaun S. Wang. Premium Calculation by Transforming the Layer Premium Density , 1996, ASTIN Bulletin.
[74] Moshe Shaked,et al. Linkages: A Tool for the Construction of Multivariate Distributions with Given Nonoverlapping Multivariate Marginals , 1996 .
[75] Harry Joe,et al. Multivariate Distributions from Mixtures of Max-Infinitely Divisible Distributions , 1996 .
[76] Emiliano A. Valdez,et al. Annuity Valuation with Dependent Mortality , 1996 .
[77] Ronald L. Wasserstein,et al. Monte Carlo: Concepts, Algorithms, and Applications , 1997 .
[78] N. L. Johnson,et al. Discrete Multivariate Distributions , 1998 .
[79] Roger B. Nelsen,et al. Dependence and Order in Families of Archimedean Copulas , 1997 .
[80] H. Joe. Multivariate models and dependence concepts , 1998 .
[81] Kilani Ghoudi,et al. Propriétés statistiques des copules de valeurs extrêmes bidimensionnelles , 1998 .
[82] Stuart A. Klugman,et al. Loss Models: From Data to Decisions , 1998 .