The following pages link to J. N. K. Rao (Q391585):
Displaying 50 items.
- Small area estimation of poverty indicators (Q86813) (← links)
- On small area estimation under a sub-area level model (Q109357) (← links)
- Estimation of mean squared error of model-based estimators of small area means under a nested error linear regression model (Q391586) (← links)
- (Q400616) (redirect page) (← links)
- Small area estimation of general parameters with application to poverty indicators: a hierarchical Bayes approach (Q400617) (← links)
- Impact of frequentist and Bayesian methods on survey sampling practice: a selective appraisal (Q449821) (← links)
- Inadmissibility but near optimality of an estimator of correlated response variance under additive models (Q689383) (← links)
- On the estimate of the variance in unequal probability sampling (Q775159) (← links)
- Missing responses in adaptive allocation design (Q868271) (← links)
- Weighted least-squares and quasilikelihood estimation for categorical data under singular models (Q912550) (← links)
- Confidence intervals for marginal parameters under fractional linear regression imputation for missing data (Q928858) (← links)
- Evaluation of some approximate variance estimators under the Rao-Sampford unequal probability sampling design (Q957718) (← links)
- Pseudo-empirical Bayes estimation of small area means under a nested error linear regression model with functional measurement errors (Q988921) (← links)
- Bootstrap procedures for the pseudo empirical likelihood method in sample surveys (Q990909) (← links)
- Confidence intervals for marginal parameters under imputation for item nonresponse (Q1031743) (← links)
- On the efficiency of prediction estimators in two-stage sampling (Q1073482) (← links)
- On chi-squared tests for multiway contingency tables with cell proportions estimated from survey data (Q1091064) (← links)
- On simple adjustments to chi-square tests with sample survey data (Q1104655) (← links)
- Inference from stratified samples: Properties of the linearization, jackknife and balanced repeated replication methods (Q1158898) (← links)
- Estimation of mean square error of empirical best linear unbiased predictors under a random error variance linear model (Q1201126) (← links)
- Optimal estimation of a finite population mean under generalized random permutation models (Q1249393) (← links)
- Estimation for a linear regression model with unknown diagonal covariance matrix (Q1250670) (← links)
- On small-area estimation under two-fold nested error regression models (Q1300927) (← links)
- Estimation of regression models with nested error structure and unequal error variances under two and three stage cluster sampling (Q1373957) (← links)
- Inference for nested error linear regression models with unequal error variances (Q1580000) (← links)
- Small area estimation: an appraisal. With comments and a rejoinder by the authors (Q1596090) (← links)
- Analysis of domain means in complex surveys (Q1600688) (← links)
- Jackknife variance estimation for multivariate statistics under hot-deck imputation from common donors (Q1600704) (← links)
- Small area estimation via unmatched sampling and linking models (Q1616702) (← links)
- Small area estimation with multiple covariates measured with errors: a nested error linear regression approach of combining multiple surveys (Q1661330) (← links)
- Small area estimation of general parameters under complex sampling designs (Q1662168) (← links)
- Estimation of mean squared error of model-based small area estimators (Q1761530) (← links)
- Empirical likelihood-based inference under imputation for missing response data (Q1848961) (← links)
- Pseudo hierarchical Bayes small area estimation combining unit level models and survey weights (Q1869091) (← links)
- Mean squared error of empirical predictor. (Q1879956) (← links)
- On the power of \(F\) tests under regression models with nested error structure (Q1893361) (← links)
- On making valid inferences by integrating data from surveys and other sources (Q2040672) (← links)
- A weighted composite likelihood approach to inference from clustered survey data under a two-level model (Q2051022) (← links)
- Empirical likelihood inference with public-use survey data (Q2192309) (← links)
- Variance estimation in two-stage cluster sampling under imputation for missing data (Q2324145) (← links)
- On two systems of unequal probability sampling without replacement (Q2394083) (← links)
- On the estimation of the relative efficiency of sampling procedures (Q2625316) (← links)
- Empirical likelihood inference in the presence of measurement error (Q2714935) (← links)
- Some current trends in sample survey theory and methods. (With discussion) (Q2736905) (← links)
- Empirical likelihood inference under stratified random sampling using auxiliary population information (Q2739341) (← links)
- A weighted composite likelihood approach for analysis of survey data under two-level models (Q2796869) (← links)
- Variance estimation in two-phase sampling (Q2810368) (← links)
- Some new developments in small area estimation (Q2834319) (← links)
- Amendments and corrections: `On measuring the variability of small area estimators under a basic area level model' (Q2892105) (← links)
- Small Area Estimation (Q2950660) (← links)