This pioneering text is a systematic exposition of the theoretical development of the subject, discussing at length the application of the theory in interpreting results in Survey Sampling. In addition, it clarifies how the theory of estimating functions (originating from the works of Godambe and Durbin) plays a major role in analysis of data pertaining to Biostatistics, Econometrics, Time Series Analysis, Reliability studies and other varied fields.
Table of Contents
• Foreword •
• Preface • Introduction • Basic Concepts • Estimating Functions in the Multi-Parameter Case • Estimating Functions in the Presence of Nuisance Parameters • Information in Distribution in the Presence of Nuisance Parameters • Estimating Functions in Semi-Parametric • Estimating Functions in Survey Sampling • Appendix • References • Author Index • Subject Index