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Prof Shalabh Shalabh

vidwan id: 52726
Male

Professor, Department of Mathematics and Statistics
Indian Institute of Technology Kanpur

Expertise

  • Statistics and Probability

Publications

Total Articles 70
Books 0
Proceedings 0

Publications

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Scopus

Citations 634
h-index 13

CrossRef

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Citations 547
h-index 13
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Professional Recognition

2011

National Award for Young Statisticians -- Professor C.R. Rao Award

The Ministry of Planning and Programme Implementation, Govt. of India
1995

Young Statistician Award (Jan Tinbergan Award)

The International Statistical Institute (The Netherlands)
2001

BOYSCAST Fellowship

Department of Science and Technology, Govt. of India
2006

Humboldt Fellowship

Alexander von Humboldt Foundation, Germany
2014

IISA Young Researcher Award (Theory Category)

International Indian Statistical Association.

Community & Membership

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Bio

Modelling, Sampling, R Software, Inference, Regression, Econometrics

Personal Details

  • Male
  • Professor , Indian Institute of Technology Kanpur
  • Department of Mathematics and Statistics, Indian Institute of Technology
Ph.D
University of Lucknow 1996
Professor Jun 2014 – Present
Indian Institute of Technology Kanpur | Department of Mathematics and Statistics
Associate Professor Jul 2009 – Jun 2014
Indian Institute of Technology Kanpur
Assistant Professor Apr 2003 – Jul 2009
Indian Institute of Technology Kanpur | Department of Mathematics and Statistics

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Scholarly Work

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Scholarly Publications

Risk and Pitman closeness properties of feasible generalized double k-class estimators in linear regression models with non-spherical disturbances under balanced loss function

Open Access
Article

On the usefulness of knowledge of error variances in the consistent estimation of an unreplicated ultrastructural model

Open Access
Article

Consistent estimation of coefficients in measurement error models with replicated observations

Open Access
Article

Estimation of regression models with equi-correlated responses when some observations on the response variable are missing

Open Access
Article

Prediction of response values in linear regression models from replicated experiments

Open Access
Article

Estimation of bias and standard error of an improved estimator of normal mean

Open Access
Article

Use of minimum risk approach in the estimation of regression models with missing observations

Open Access
Article

Consistent estimation of regression coefficients in replicated data with non-normal measurement errors

Open Access
Article
Authors: Ullah A.;Shalabh;Mukherjee D.
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