Cover; Contents; Preface; 1 Introduction; 2 Empirical likelihood; 3 EL for random vectors; 4 Regression and modeling; 5 Empirical likelihood and smoothing; 6 Biased and incomplete samples; 7 Bands for distributions; 8 Dependent data; 9 Hybrids and connections; 10 Challenges for EL; 11 Some proofs; 12 Algorithms; 13 Higher order asymptotics; Appendix; References; Author index; Subject index
Summary
A presentation of empirical likelihood - a nonparametric method for constructing confidence regions and testing hypotheses. It applies empirical likelihood on problems as simple as setting a confidence region for a univariate mean under IID sampling, to problems of statistics
