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Shalabh
PhD (University of Lucknow
Professor, Department of Mathematics & Statistics
Research Interest
Linear Regression Models, Econometric Modelling, Measurement Error Models, Missing Data Models, Panel Data Models, Restricted Regression, Spatial models, Forecasting Techniques, Sampling Theory
Department of Mathematics & Statistics
Indian Institute of Technology Kanpur
Kanpur 208016
INDIA
Specialization
Statistics, Econometrics
Education
Post-doc in Statistics from Ludwig Maximillians University, Munich, Germany in 2007
Post-doc in Statistics from University of Pittsburgh, U.S.A. in 2002.
PhD, Mathematical Statistics from University of Lucknow, India in 1996.
Master's in Mathematical Statistics from University of Lucknow, India in 1992.
Under graduate from University of Lucknow, India in 1990.
Teaching Area
Statistics
Professional Affiliations
Life member of the National Academy of Sciences, India.
Life member of the International Indian Statistical Association.
Life member of the Indian Society of Agricultural Statistics, India.
Life member of the Indian Econometric Society, India.
Life member of the Indian Society for Mathematical Modelling and Computer Simulation, India
Life member of the Indian Society of Probability and Statistics, India
Fellow of the The Royal Statistical Society, London, U.K. since 2000
Member of the American Statistical Association (A.S.A.), U.S.A., since 2008
Member of The Institute of Mathematical Statistics (I.M.S.), U.S.A., since 2012
Member of the American Mathematical Society (A.M.S.), U.S.A., since 2012
Member of the Bernoulli Society of International Statistical Institute, The Netherlands, in 2003
Member of the Indian Science Congress Association, India in 1999
Member of Sample Survey Theory and Methods Research Group, India in 1995
Selected Publications
Books:Title: Linear Models and Generalizations - Least Squares and Alternatives Authors: C.R. Rao, H. Toutenburg, Shalabh, and C. Heumann Publisher: Springer, 2008
Books:Title: Recent Advances In Linear Models and Related Areas Editors: Shalabh and C. Heumann Publisher: Springer, 2008
Books:Title: Statistical Analysis of Designed Experiments Authors: H. Toutenburg and Shalabh Publisher: Springer, 2010
Selected research papers:Srivastava, A.K. and Shalabh (1997): "Improved Estimation of Slope Parameter in a Linear Ultrastructural Model when Measurement Errors are not Necessarily Normal", Journal of Econometrics, 78, pp. 153-157.
Selected research papers:Shalabh (1998): "Improved Estimation in Measurement Error Models Through Stein-rule Procedure", Journal of Multivariate Analysis, 67, 35-48.
Selected research papers:Shalabh (2001): "Consistent Estimation through Weighted Harmonic Mean of Inconsistent Estimators in Replicated Measurement Error Models", Econometric Reviews, Vol. 20, 4, 507-510.
Selected research papers:Shalabh (2002) : "Effects of a Trended Regressor on the Efficiency Properties of the Least Squares and Stein-rule Estimation of Regression Coefficients", Handbook of Applied Econometrics and Statistical Inference, Editors: A. Ullah, A. Wan and A. Chaturvedi, Marcell Dekker, pp. 327-346.
Selected research papers:Shalabh (2003): "Consistent Estimation of Coefficients in Measurement Error Models with Replicated Observations", Journal of Multivariate Analysis, Vol. 86, No. 2, pp. 227-241.
Selected research papers:Shalabh, Leon J. Gleser and Ori Rosen (2004): "On the Usefulness of Knowledge of Error Variances in the Consistent Estimation of an Unreplicated Ultrastructural Model", Journal of Statistical Computation & Simulation, 74, 6, pp. 391-417.
Selected research papers:Toutenburg, H., V.K. Srivastava, Shalabh and C. Heumann (2005): "Estimation of Parameters in Multiple Regression With Missing Covariates using a Modified First Order Regression Procedure", Annals of Economics and Finance, 6, pp. 289-301.
Selected research papers:Toutenburg, H., V.K. Srivastava, Shalabh and C. Heumann (2005): "Estimation of Parameters in Multiple Regression With Missing Covariates using a Modified First Order Regression Procedure", Annals of Economics and Finance, 6, pp. 289-301.
Selected research papers:Shalabh and H. Toutenburg (2006): "Consequence of Departure from Normality on the Properties of Calibration Estimators", Journal of Statistical Planning and Inference, Vol. 136, No. 12, pp. 4385-4396.
Selected research papers:H. Schneeweiss and Shalabh (2007): "On the Estimation of the Linear Relation when the Error Variances are known", Computational Statistics and Data Analysis, Vol. 52, pp. 1143 -1148.
Selected research papers:Shalabh, Gaurav Garg and Neeraj Misra (2007): "Restricted Regression Estimation in Measurement Error Models", Computational Statistics and Data Analysis 52, pp. 1149 -1166.
Selected research papers:Shalabh, C.M. Paudel and N. Kumar (2008): "Simultaneous Prediction of Actual and Average Values of Response Variable in Replicated Measurement Error Models " in Recent Advances In Linear Models and Related Areas (Springer) (Editors: Shalabh and C. Heumann), pp. 105-133.
Selected research papers: H. Toutenburg, Shalabh and C. Heumann (2009): "Optimal Estimation in a Linear Regression Model Using Incomplete Prior Information'' in Statistical Inference, Econometric Analysis and Matrix Algebra (Springer) (Editors: Bernhard Schipp and Walter Kraemer), pp. 185-200.
Selected research papers:C. Heumann and Shalabh (2008): "Weighted Mixed Regression Estimation Under Biased Stochastic Restrictions" in Recent Advances In Linear Models and Related Areas (Springer) (Editors: Shalabh and C. Heumann), pp. 401-416.
Selected research papers:Toutenburg, H., V.K. Srivastava and Shalabh (2008): "Amputation versus imputation of missing values through ratio method in sample surveys", Statistical Papers, Vol. 49, No. 2, pp. 237-247.
Selected research papers:Toutenburg, H. and Shalabh (2008): "Improving the Estimation of Incomplete Regression Models through Pilot Investigations and Repeated Studies", Journal of Applied Statistical Science, Volume 16, No. 1, pp. 127-145.
Selected research papers:Singh, H.P. and Shalabh (2007): "Estimation of population mean through estimated coefficient of variation", Journal of Applied Statistical Science, Volume 15, Issue 4, pp. 425-429.
Selected research papers:Toutenburg, H., V.K. Srivastava and Shalabh (2006): "Estimation of Linear regression Models with Missingness of Observations on Both the Explanatory and Study Variables", Quality Technology and Quality Management, Vol. 3, No. 2, pp. 179-189.
Selected research papers:Toutenburg, H., Shalabh and C. Heumann (2006) : "Use of Prior Information in the Form of Interval Constraints for Improved Estimation of Linear Regression Models with Some Missing Responses", Journal of Statistical Planning and Inference, Vol. 136, No. 8, pp. 2430-2445.
Selected research papers:Toutenburg, H. and Shalabh (2003) : "Pseudo Minimax Linear and Mixed Regression Estimation of Regression Coefficients when Prior Estimates are available", Statistics and Probability Letters, 63, pp. 35-39.
Selected research papers:Toutenburg, H. and Shalabh (2002) : "Prediction of Response Values in Linear Regression Models from Replicated Experiments", Statistical Papers, 43, pp. 423-433
Selected research papers:Shalabh (2001): "Least Squares Estimators in Measurement Error Model under the Balanced Loss Function", TEST, Vol. 10, 2, 301-308.
Selected research papers:Shalabh (2001) : "Pitman Closeness Comparison of Least Squares and Stein-rule Estimators in Linear Regression Models with Non-normal Disturbances", The American Journal of Mathematical and Management Sciences (AJMMS), Vol. 21, No. 1 , pp. 89-100.
Selected research papers:Shalabh (2000): "Prediction of Values of Variables in Linear Measurement Error Model", Journal of Applied Statistics, 27, 4, 475-482.
Selected research papers:Shalabh (2000): "Note on a Family of Unbiased Predictors for the Equi-correlated Responses in Linear Regression Models", Statistical Papers, Vol. 41, 2, pp. 237-241.
Selected research papers:Shalabh and A.T.K. Wan (2000) : "Stein-rule Estimation in Mixed Regression Models", Biometrical Journal , Vol 42, pp.203-214.
Selected research papers:Srivastava A.K. and Shalabh (2000) : "On the Choice of Direction for Minimization of Residuals in Ultrastructural Model", Statistica, annoLX, n.1, 97-107.
Selected research papers:Shalabh (1998): "Unbiased Prediction in Linear Regression Model with Equicorrelated Responses", Statistical Papers, Vol. 39, No. 2, pp.237-244.
Selected research papers:Srivastava, A.K. and Shalabh (1997): "Consistent Estimation for the Non-normal Ultrastructural Model", Statistics and Probability Letters, 34, pp. 67-73.
Selected research papers:Srivastava, A.K. and Shalabh (1997): "Asymptotic Efficiency Properties of Least Squares Estimation in Ultrastructural Model", TEST, Vol. 6, No. 2, pp. 419-431.
Selected research papers:Srivastava, A.K. and Shalabh (1997): "A New Property of Stein Procedure in Measurement Error Model", Statistics and Probability Letters, 32, pp. 231-234.
Selected research papers:Toutenburg, H. and Shalabh (1996): "Predictive Performance of the Methods of Restricted and Mixed Regression Estimators", Biometrical Journal, 38, 8, pp. 951-959.
Selected research papers:Shalabh (1995): "Performance of Stein - rule Procedure for Simultaneous Prediction of Actual and Average Values of Study Variable in Linear Regression Model", Bulletin of the International Statistical Institute, The Netherlands, pp. 1375-1390.
Selected research papers:Rao, B. and Shalabh (1995): "Unit Roots, Cointegration and the Demand for Money in India", Applied Economic Letters, 2, 397-399.
Awards & Fellowships
AwardsIISA Young Researcher Award in 2014 in the Theory Category from the International Indian Statistical Association.
AwardsNational Award for Young Statisticians -- Professor C.R. Rao Award in 2011 for the significant work in the field of statistics by the Ministry of Planning and Programme Implementation, Government of India.
AwardsMahalanobis Memorial Medal (MMM) - National Award for the year 2008 for the contribution in quantitative economics by the Indian Econometric Society, India in 2011.
AwardsYoung Scientist Award entitled `ISCA Young Scientists' Award' of the Indian Science Congress Association, India in 1999.
AwardsYoung Statistician Award entitled `Jan Tinbergan Award' of the International Statistical Institute (The Netherlands) in 1995.
FellowshipsJunior Research Fellowship of Council of Scientific and Industrial Research (C.S.I.R.), India in 1993.
FellowshipsBOYSCAST fellowship from Department of Science and Technology, Govt. of India in 2001.
FellowshipsHumboldt Fellowship from Alexander von Humboldt Foundation, Germany in 2006.
Keywords
Statistics, regression, modelling, data analysis, measurement error, forecasting, sampling, surveys