A
Arijit Chaudhuri
Researcher at Indian Statistical Institute
Publications - 110
Citations - 2482
Arijit Chaudhuri is an academic researcher from Indian Statistical Institute. The author has contributed to research in topics: Population & Estimator. The author has an hindex of 21, co-authored 107 publications receiving 2288 citations.
Papers
More filters
Journal ArticleDOI
A note on handling linear randomized response
TL;DR: In this article, it is shown that the method given by Chaudhuri (1987) to estimate a finite population total of a sensitive variable from randomized responses (RR) obtained through a varying probability sample from a finite populations does not directly apply but needs a modification to cover a case where RR is obtained as a random linear compound of variate-values.
Journal Article
Extending sitter's mirror-match bootstrap to cover Rao-Hartley-Cochran sampling in two-stages with simulated illustrations
Arijit Chaudhuri,Amitava Saha +1 more
TL;DR: In this article, a practical problem of estimating the total area under cultivation in Indian districts is addressed by two-stage sampling with unequal selection-probabilities, and the accuracy in estimation bootstrap technique is employed in constructing confidence intervals and simulation-based performance criteria are evaluated from live-data as shown for competitive procedures.
Journal ArticleDOI
A finite population quantile estimation by unequal probability sampling
Arijit Chaudhuri,Purnima Shaw +1 more
TL;DR: Using a model-assisted approach, the authors studies asymptotically design-unbiased (ADU) estimation of a population distribution function and extends to derive an asymPTotic and approximate unbounded distribution function.
Journal ArticleDOI
Asymptotic design-cum-model based estimation of variances of estimated linear regression coefficients in survey sampling with unequal probabilities
Arijit Chaudhuri,Tapabrata Maiti +1 more
TL;DR: In this paper, a superpopulation linear regression model for a variable of interest on an auxiliary variable was proposed and the design-based estimation of regression coefficients on drawing a sample with unequal probabilities from a survey population was considered.
Journal ArticleDOI
Further improvements on unrelated characteristic models in randomized response techniques
Purnima Shaw,Arijit Chaudhuri +1 more
TL;DR: Unrelated characteristics model (URL) as mentioned in this paper is a type of randomized response technique (RRT) used to estimate finite population proportion of individuals bearing such a sensitive characteristic whose characteristics were selected by a random response technique.