The theory of estimating functions plays a major role in analysis of data pertaining to Biostatistics, Econometrics, Time Series Analysis, Reliability studies and other varied fields. The theory originated essentially from the works of Godambe (1960) and Durbin (1960). The Godambe-Durbin estimating functions have lately been developed into a full-fledged theory of estimating functions. This pioneering text is a systematic exposition of the theoretical development of the subject. The book also discusses at length the application of the theory in interpretation of results in Survey Sampling.

• The presentation is lucid and elaborate • Supplemented by numerous examples and exercises

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

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