Tapabrata Maiti

Bio: Tapabrata Maiti is an academic researcher from Michigan State University. The author has contributed to research in topics: Bayesian probability & Small area estimation. The author has an hindex of 22, co-authored 125 publications receiving 5689 citations. Previous affiliations of Tapabrata Maiti include University of Melbourne & Heriot-Watt University.

On parametric bootstrap methods for small area prediction

Abstract: Summary. The particularly wide range of applications of small area prediction, e.g. in policy making decisions, has meant that this topic has received substantial attention in recent years. The problems of estimating mean-squared predictive error, of correcting that estimator for bias and of constructing prediction intervals have been addressed by various workers, although existing methodology is still restricted to a narrow range of models. To overcome this difficulty we develop new, bootstrap-based methods, which are applicable in very general settings, for constructing bias-corrected estimators of mean-squared error and for computing prediction regions. Unlike existing techniques, which are based largely on Taylor expansions, our bias-corrected mean-squared error estimators do not require analytical calculation. They also have the property that they are non-negative. Our prediction intervals have a high degree of coverage accuracy, O(n−3), where n is the number of areas, if double-bootstrap methods are employed. The techniques do not depend on the form of the small area estimator and are applicable to general two-level, small area models, where the variables at either level can be discrete or continuous and, in particular, can be non-normal. Most importantly, the new methods are simple and easy to apply.

Job engagement: antecedents and effects on job performance

Abstract: We theorize that engagement, conceptualized as the investment of an individual’s complete self into a role, provides a more comprehensive explanation of relationships with performance than do well-known concepts that reflect narrower aspects of the individual’s self. Results of a study of 245 firefighters and their supervisors supported our hypotheses that engagement mediates relationships between value congruence, perceived organizational support, and core self-evaluations, and two job performance dimensions: task performance and organizational citizenship behavior. Job involvement, job satisfaction, and intrinsic motivation were included as mediators but did not exceed engagement in explaining relationships among the antecedents and performance outcomes.

The Statistical Evaluation of Medical Tests for Classification and Prediction

Abstract: 1. Introduction 2. Measures of Accuracy for Binary Tests 3. Comparing Binary Tests and Regression Analysis 4. The Receiver Operating Characteristic Curve 5. Estimating the ROC Curve 6. Covariate Effects on Continuous and Ordinal Tests 7. Incomplete Data and Imperfect Reference Tests 8. Study Design and Hypothesis Testing 9. More Topics and Conclusions References/Bibliography Index