The first account in book form of all the essential features of the quasi-likelihood methodology, stressing its value as a general purpose inferential tool. The treatment is rather informal, emphasizing essential principles rather than detailed proofs, and readers are assumed to have a firm grounding in probability and statistics at the graduate level. Many examples of the use of the methods in both classical statistical and stochastic process contexts are provided.
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"The powerful message of this timely book is that 'for estimation of parameters in stochastic systems of any kind . . . it is possible to replace likelihood-based techniques by quasi-likelihood alternatives, in which only assumptions about means and variances are made in order to obtain estimators. There is often little, if any, loss in efficiency . . . ' Chris Heyde has played a major role in the development of QLE. Much of the work in this wonderful book can be traced directly or indirectly to his ideas. We are fortunate that he has added his insight to this authoritative work, which describes a field that has matured to the point that it is now ready to fulfill its promise of becoming a standard tool of statistical analysis." --Journal of the American Statistical Association
"When reading this book we really understand how deep and effective this approach is when solving diverse inference problems in a very satisfactory way . . . In a master style the author demonstrates by example how a particular property can be developed into a general result." --Journal of Applied Mathematics and Stochastic Analysis
Christopher Heyde is Professor of Statistics at both Columbia University in New York and the Australian National University in Canberra. He is also Director of the Center for Applied Probability at Columbia. He is a Fellow of the Australian Academy of Science and has been Foundation Dean of the School of Mathematical Sciences at the Australian National University and Foundation Director of the Key Centre for Statistical Sciences in Melbourne. He has served as President of the Bernoulli Society and Vice President of the International Statistical Institute and is Editor-in-Chief of the international probability journals "Journal of Applied Probability" and "Advances in Applied Probability". He has done considerable distinguished research in probability and statistics which has been honoured by the awards of the Pitman Medal (1988) and Hannan Medal.
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