Dr Anoop Chaturvedi
Professor
| Department of Statistics
University of Allahabad, Allahabad
Uttar Pradesh
Expertise:
Statistics and Probability
58
Publications
0
Projects
253
Scopus Citations
236
CrossRef
8 Months Total Experience
Scopus
253
Citations
10
h-index
CrossRef
236
Citations
8
h-index
Google Scholar
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Professional Recognition
Fellowship
Royal Statistical Society
Community & Membership
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World Econometric Society
MemberIndian Econometric Society
Life MemberCalcutta Statistical Association
Life MemberInternational Academy of Physical Sciences
Life MemberPersonal Details
Doctor of Philosophy
1982
N/A
Professor
Jan 2026 – Present
University of Allahabad, Allahabad
| Department of Statistics
Physical Sciences
Scholarly Work
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Shrinkage Estimation
Shrinkage Estimation
Bayesian Spatial Models with Application to Demographic Data
Predictive Data Mining and Statistical Modeling of High-Throughput Sequencing Data
Improved Estimation and Prediction in Spatial Models
Bayesian and Shrinkage Estimation of Parameters of Distributions having Monotone Failure Rates
Soft Computing Approach to Biomolecular Sequence Analysis
Statistical process control for autocorrelated data
Robust Bayesian analysis of some panel data models
Bayesian analysis of Seemingly Unrelated Regression models
Analysis of Some Time Series and Econometric Models
Estimation and prediction in linear regression models with nonspherical disturbances
Time Series Regression with a Unit Root: A Bayesian Approach
Contributions to Inferential Procedures for some Reliability Models
Bayesian Analysis of Some Time Series Models
Stein Rule Estimation in the Linear Regression Model
Bayesian Methods in Econometrics
Estimation of Parameters in the Linear Regression Model: A Bayesian Approach
Fitting of Growth Curves in the Context of Indian Population
Improved Estimation in Econometric Models
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Scholarly Publications
Estimation of Linear Regression Model with Random Coefficients Ensuring Almost Non‐Negativity of Variance Estimators
Some properties of the distribution of an operational ridge estimator
10.1007/BF02056927
Crossref: 2
A necessary and sufficient condition for the dominance of an improved family of estimators in linear regression models
The necessary and sufficient conditions for the uniform dominance of the two-stage stein estimators
Comparison of Improved Regression Estimators with and Without Moments
Lindley-like mean correction in the improved estimation of regression models with non-scalar covariance matrix
Asymptotic approximations to the gain of the 2sh1 over stein estimators in linear regression models when the disturbances are small
Ridge regression estimators in the linear regression models with non-spherical errors
Showing 1 to 8 of 58 publications