Pages that link to "Item:Q1596096"

The following pages link to Inference based on estimating functions in the presence of nuisance parameters. With comments and rejoinder (Q1596096):

Displaying 47 items.

• Estimating functions for repeated measures with incidental parameters (Q261834) (← links)
• Approximate Bayesian computation by modelling summary statistics in a quasi-likelihood framework (Q273605) (← links)
• Estimation strategies in the presence of nuisance parameters (Q673368) (← links)
• Modified quasi-profile likelihoods from estimating functions (Q935437) (← links)
• Default prior distributions from quasi- and quasi-profile likelihoods (Q988917) (← links)
• An RKHS framework for functional data analysis (Q993801) (← links)
• Bounded estimation in the presence of nuisance parameters (Q1039953) (← links)
• A maximum likelihood method for the incidental parameter problem (Q1043759) (← links)
• Estimation in the presence of infinitely many nuisance parameters - Geometry of estimating functions (Q1116223) (← links)
• The theory and applications of statistical inference functions (Q1210780) (← links)
• Estimating functions for conditional inference: many nuisance parameter case (Q1260699) (← links)
• An estimating equations approach for the LISCOMP model (Q1265302) (← links)
• Foundations of statistical inference based on numerical roots of robust pivot functions (Q1305647) (← links)
• The incidental parameter problem since 1948 (Q1574223) (← links)
• Estimating equations with nuisance parameters: Theory and applications (Q1585892) (← links)
• Foundations of multivariate inference using modern computers (Q1595162) (← links)
• A note on modeling sparse exponential-family functional response curves (Q1658520) (← links)
• Limit theorems for regression models of time series of counts (Q1971381) (← links)
• Generalized empirical likelihood for nonsmooth estimating equations with missing data (Q2140848) (← links)
• Necessary and sufficient conditions of proper estimators based on self density ratio for unnormalized statistical models (Q2179310) (← links)
• High dimensional nuisance parameters: an example from parametric survival analysis (Q2221322) (← links)
• Inference of local regression in the presence of nuisance parameters (Q2227059) (← links)
• Dispersion-weighted kappa: an integrative framework for metric and nominal scale agreement coefficients (Q2260069) (← links)
• Robust modified profile estimating function with application to the generalized estimating equation (Q2427156) (← links)
• Optimal experimental design and some related control problems (Q2440603) (← links)
• A quasi likelihood approximation of posterior distributions for likelihood-intractable complex models (Q2513692) (← links)
• Fixed-sample optimal non-orthogonal estimating functions in the presence of nuisance parame\-ters (Q2565600) (← links)
• Fixed-sample optimal non-orthogonal estimating functions in the presence of nuisance parameters (Q2565614) (← links)
• Conditioning to reduce the sensitivity of general estimating functions to nuisance parameters (Q2813870) (← links)
• Modified Gaussian estimation for correlated binary data (Q2857995) (← links)
• Variances Are Not Always Nuisance Parameters (Q3079100) (← links)
• A paradox concerning nuisance parameters and projected estimating functions (Q3159868) (← links)
• Generalization of the Mantel-Haenszel Estimating Function for Sparse Clustered Binary Data (Q3379250) (← links)
• Generalized cochran-mantel-haenszel test statistics for correlated categorical data (Q4269931) (← links)
• Corrections for Bias in Maximum Likelihood Parameter Estimates Due to Nuisance Parameters (Q4416323) (← links)
• ON ESTIMATING FUNCTIONS IN THE PRESENCE OF A NUISANCE PARAMETER (Q4540702) (← links)
• ASYMPTOTIC PROPERTIES OF AN OPTIMAL ESTIMATING FUNCTION APPROACH TO THE ANALYSIS OF MARK RECAPTURE DATA (Q4540746) (← links)
• Capture–Recapture When Time and Behavioral Response Affect Capture Probabilities (Q4667465) (← links)
• Parameter Orthogonality and Bias Adjustment for Estimating Functions (Q4828230) (← links)
• Flexible Tweedie regression models for continuous data (Q5106916) (← links)
• A joint modeling approach for multivariate survival data with random length (Q5283330) (← links)
• Semiparametric inference for estimating equations with nonignorably missing covariates (Q5375958) (← links)
• On Optimal Estimating Functions in the Presence of Nuisance Parameters (Q5421541) (← links)
• Orthogonal Locally Ancillary Estimating Functions with Application to Stratified Clustered Data (Q5494721) (← links)
• Popoulation size estimation based on estimating functions for closed capture-recapture models (Q5929954) (← links)
• GEE estimation of the covariance structure of a bivariate panel data model with an application to wage dynamics and the incidence of profit-sharing in West Germany (Q5962988) (← links)
• Generalised likelihood profiles for models with intractable likelihoods (Q6190673) (← links)