SUMMARY A model involving random effects and autocorre-lated errors is proposed for small area estimation, using both time series and cross-sectional data. This model is an extension of the… (More)

A simple method for comparing independent groups of clustered binary data with group-specific covariates is proposed. It is based on the concepts of design effect and effective sample size widely… (More)

The analysis of survey data requires the application of special methods to deal appropriately with the effects of the sample design on the properties of estimators and test statistics. The class of… (More)

KEY WORDS" Adusted imputed values, item nonresponse, stratified multistage sampling Item nonresponse is usually handled by some form of imputation; in particular, de-terministic or hot deck… (More)

The term “empirical predictor” refers to a two-stage predictor of a linear combination of fixed and random effects. In the first stage, a predictor is obtained but it involves unknown parameters;… (More)

The authors show how an adjusted pseudo-empirical likelihood ratio statistic tha is asymptotically distributed as a chi-square random variable can be used to construc t confidence intervals for a… (More)

G. Krishna Kishore, S. Pande*, K. Manjula , J. Narayana Rao and D. Thomas Department of Plant Sciences, University of Hyderabad, Hyderabad 500 046, India Pathology, International Crops Research… (More)

Large sample properties of statistical inferences in the context of finite populations are harder to determine than in the iid case due to their dependence jointly on the characteristics of the… (More)

Bayesian methods for inference on finite population means and other parameters by using sample survey data face hurdles in all three phases of the inferential procedure: the formulation of a… (More)

Small area estimation has received considerable attention in recent years due to growing demand for reliable small area statistics• The usual survey estimates, based only on the data from a given… (More)