An Introduction to Estimating Functions

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Alpha Science Int'l Ltd., 2004 - Business & Economics - 233 pages
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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. This book discusses at length the application of the theory in interpretation of results in Survey Sampling.

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Estimating Functions in
Estimating Functions in the Presence
Information in a Distribution in the Presence
Estimating Functions in SemiParametric
Estimating Functions in Survey Sampling 141193
Appendix 195217
References 218228
Subject Index 231233

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Page 220 - RS and Folks, JL (1989). The Inverse Gaussian Distribution : Theory, Methodology and Applications, Marcel Dekker, New York. Edgeman, RL (1989a). Inverse Gaussian Control Charts.
Page 218 - Bhapkar, VP (1972). On a measure of efficiency of an estimating equation.
Page 221 - Sage Univ. Paper Series on Quantitative Applications in the Social Sciences, no. 58, Sage Publications, Bevery Hills, California.
Page 219 - Binder, DA and Patak, Z. (1994). Use of estimating functions for estimation from complex surveys. J.
Page 218 - Optimum sampling strategies for randomized response trials. Int. Stat. Rev., 52, 115 - 125.
Page 225 - Inference based on estimating functions in presence of nuisance parameters' by Liang, KY and Zeger, SL, Statistical Science, 10, 175-177.
Page 220 - R. & CHAMBERS, RL (1989). Estimating distribution functions from survey data with limited benchmark information. Austral. J.

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