图书简介

Preface; Introduction; Edgeworth Expansions for the Distributions of Maximum Likelihood Estimators in the General (Non IID) Case (Introduction by Rahul Mukerjee); A Second-Order Investigation of Asymptotic Ancillarity (Introduction by Peter McCullagh); On Multivariate Edgeworth Expansions (Introduction by John Robinson); Saddlepoint Expansions for Conditional Distributions (Introduction by Jens Ledet Jensen); Saddlepoint Expansions for Directional Test Probabilities (Introduction by Nicola Sartori); A Review of Higher Order Likelihood Inference (Introduction by Nancy Reid); On the Density of Minimum Contrast Estimators (Introduction by Alessandra Salvan and Luigi Pace); Modelling Relations Between Instrumental and Sensory Measurements in Factorial Experiments (Introduction by Per Bruun Brockhoff); An Explicit Large-Deviation Approximation to One-Parameter Tests (Introduction by Thomas A Severini); Modified Residuals in Non-Linear Regression (Introduction by Anthony Davison); Likelihood Asymptotics (Introduction by Ruggero Bellio and Donald A Pierce); On the Use of a Parameter Dependent Group Structure for Inference(Introduction by D A S Fraser); Efficient Estimation of Fixed and Time-Varying Covariate Effects in Multiplicative Intensity Models (Introduction by Yanqing Sun and Seunggen Hyun); Diffusion-Type Models with Given Marginal Distribution and Autocorrelation Function (Introduction by Helle Sørensen); Likelihood Ratio Tests in Curved Exponential Families with Nuisance Parameters Present Only Under the Alternative (Introduction by Nina Munkholt Jakobsen and Michael Sørensen); Nonparametric Maximum Likelihood Estimation of Randomly Time-Transformed Curves (Introduction by Judith Rousseau); Bibliography;

Trade Policy 买家须知