Estimating Functions

Name: Estimating Functions
Price: 238.09 USD
Availability: InStock
ISBN: 9780198522287

ISBN-10: 0198522282

ISBN-13: 9780198522287

Edition: 1991

Authors: V. P. Godambe

List price: $230.00

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Book details

List price: $230.00
Copyright year: 1991
Publisher: Oxford University Press, Incorporated
Publication date: 9/26/1991
Binding: Hardcover
Pages: 356
Size: 6.14" wide x 9.21" long x 0.98" tall
Weight: 1.540
Language: English




Overview


Estimating functions: an overview




Biostatistics


Applications of estimating function theory to replicates of generalized proportional hazards models



Estimating equations for mixed Poisson models



Estimating equations in generalized linear models with measurement error



A unification of inference from capture-recapture studies through martingale estimating functions



The role of unbiasedness in estimating equations



Use of a quadratic exponential model to generate estimating equations for means, variances, and covariances




Stochastic Processes


Generalized score tests for composite hypotheses



Quasi-likelihood stochastic processes and optimal estimating functions



On optimal estimating functions for partially specified counting process models



Approximate confidence zones in an estimating function context



Simplified and two-stage quasi-likelihood estimators



Tests based on an optimal estimate




Survey Sampling


Estimating functions in survey sampling: a review



Confidence intervals for quantiles



Making use of a regression model for inferences about a finite population mean



Estimating functions in survey sampling: estimation of superpopulation regression parameters




Theory (Foundations)


Sufficiency, ancillarity, and information in estimating functions



Inferential estimation, likelihood, and maximum likelihood linear estimating functions



Geometrical aspects of efficiency criteria for spaces of estimating functions




Theory (General Methods)


Estimating equations from modified profile likelihood



Resampling using estimating equations



On using bivariate moment equations in mixed normal problems



Estimating funtions in semi-parametric models