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Selected Publications: |
P. Sengupta, N. R. Chaganty and R. T. Sabo, 2016,
"Bivariate doubly inflated Poisson models with applications,"
Journal of Statistical Theory and Practice, 10, pp. 202-215.
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M. Haynes, R. T. Sabo and N. R. Chaganty, 2016,
"Simulating dependent binary variables through multinomial sampling,"
Journal of Statistical Computation and Simulation, 86, pp. 510-523.
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Weiming Yang and N. R. Chaganty, 2014,
"Contrasting Study of Likelihood Methods for the Analysis of Longitudinal Binary Data,"
Communications in Statistics: Theory and Methods, 43, pp. 3027-3046.
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N. R. Chaganty, Roy Sabo and Yihao Deng, 2012,
"Alternatives to Mixture Model Analysis of Correlated Binomial Data,"
ISRN Probability and Statistics, doi:10.5402/2012/896082.
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Y. Deng, R. T. Sabo and N. R. Chaganty, 2012,
"Multivariate probit analysis of binary familial data using stochastic representations,"
Computational Statistics & Data Analysis, 56, pp. 656-663.
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A. K. Nikoloulopoulos, H. Joe and N. R. Chaganty, 2011,
"Weighted scores method for regression models with
dependent data,"
Biostatistics, 12, pp. 653-665.
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R. T. Sabo and N. R. Chaganty, 2010,
"What can go wrong when ignoring correlation
bounds in the use of generalized estimating
equations,"
Statistics in Medicine, 29, pp. 2501-2507.
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R. T. Sabo and N. R. Chaganty, 2010, "Estimation Methods for an Autoregressive
Familial Correlation Structure,"
Communications in Statistics: Theory and Methods, 39, pp. 973-991.
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R. T. Sabo and N. R. Chaganty, 2010,
"Hypothesis Testing for Various Familial Dependence Structures,"
Communications in Statistics: Simulation and Computation, 39, pp. 207-219.
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R. T. Sabo and N. R. Chaganty, 2009, "Adaptation of Quasi-least Squares
to Estimate Correlations within a Nuclear Family,"
Communications in Statistics: Theory and Methods, 38, pp. 3059-3076.
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Y. Deng and N. R. Chaganty, 2009, " A note on the ranges of measures of association for
pedigree binary variables,"
Journal of Statistical Theory and Applications, 8, pp 233-243.
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A. K. Vaish and N. R. Chaganty, 2008, "Nonnegative definite
solutions to matrix equations with applications to multivariate test
statistics,"
Statistical Papers., 49, pp. 87-99.
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N. R. Chaganty and D. Mav, 2007, "Estimation Methods for Analyzing
Longitudinal Data Occurring in Biomedical Research,"
Computational Methods in Biomedical Research, 12, pp. 371-400.
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N. R. Chaganty and Y. Deng, 2007, "Ranges of measures of association for
familial binary variables,"
Communications in Statistics: Theory and Methods, 36, pp. 587-598.
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N. R. Chaganty and H. Joe, 2006, "Range of correlation matrices
for dependent Bernoulli random variables,"
Biometrika, 93, pp 197-206.
Addendum.
Examples.
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G. Shi and N. R. Chaganty, 2004, "Application of quasi-least squares to
analyze replicated autoregressive time series regression models,"
Journal of Applied Statistics, 31, pp 1147-1156.
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Deepak Mav and N. R. Chaganty, 2004, "Bivariate Models for Identifying
Differentially Expressed Genes in Microarray Experiments,"
Journal of Statistical Theory and Applications, 3, pp 111-124.
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N. R. Chaganty and H. Joe, 2004, "Efficiency of Generalized Estimating
Equations for Binary Responses,"
Journal of the Royal Statistical Society: Series B, 66, pp 851-860.
Addendum.
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A. K. Vaish and N. R. Chaganty, 2004, "Wishartness and independence of
matrix quadratic forms for Kronecker product covariance structures,"
Linear Algebra and its Applications, 388, pp 379-388.
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N. R. Chaganty and G. Shi, 2004, "A note on the estimation
of autocorrelation in repeated measurements,"
Communications in Statistics: Theory and Methods, 33, pp 1157-1170.
Corrections.
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N. R. Chaganty, 2003, "Analysis of
growth curves with patterned correlation matrices using quasi-least squares,"
Journal of Statistical Planning
and Inference, 117, pp 123-139.
Corrections.
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N. R. Chaganty and D. Naik, 2002, "Analysis of
multivariate longitudinal data using quasi-least squares,"
Journal of Statistical Planning and Inference, 103, pp 421-436.
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R. C. Dahiya, P. G. Staneski, and N. R. Chaganty, 2001, ``Maximum likelihood estimation of parameters
of the truncated Cauchy distribution,"
Communications in Statistics: Theory and Methods, 30, pp 1737-1750.
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N. R. Chaganty and J. Shults, 1999, "On eliminating the asymptotic bias in
quasi-least sqares estimate of the correlation parameter,"
Journal of Statistical Planning and Inference, 76, pp 145-161.
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J. Shults and N. R. Chaganty, 1998, "The analysis of serially correlated data
using quasi-least squares,"
Biometrics, 54,
pp 1622-1630.
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N. R. Chaganty and A. K. Vaish, 1997, "On inequalites for outlier detection in statistical
data analysis,"
Journal of Applied Statistical Sciences, 6, pp 235-243.
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N. R. Chaganty, 1997, "Large deviations for joint distributions and
statistical applications,"
Sankhya, Ser A., 2, pp 147-166.
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N. R. Chaganty and J. Sethuraman, 1997, "The large deviation principle for
common statistical tests against a contaminated normal,"
Advances in Statistical Decision
Theory and Methodology, pp 239-252.
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N. R. Chaganty and A. K. Vaish, 1997, "An invariance property of common statistical
tests,"
Linear Algebra and Its Applications, 264, pp 421-37.
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N. R. Chaganty and J. Sethuraman, 1997, "Bahadur slope of the t-statistic for a
contaminated normal,"
Statistics & Probability letters, 34, pp 245-250.
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N. R. Chaganty, 1997, "An alternative approach to the analysis of logitudinal data via
generalized estimating equations,"
Journal of Statistical Planning and Inference, 63, pp 39-54.
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N. R. Chaganty and J. Sethuraman, 1996, "Multidimensional strong large deviation theorems,"
Journal of Statistical Planning and Inference, 55, pp 265-280.
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N. R. Chaganty and R. L. Karandikar, 1996, "Some properties of the
Kullback-Leibler number,"
Sankhya, Ser A., 58, pp 69-80 |
N. R. Chaganty and J. Sethuraman, 1993, "Strong large deviation and local limit theorems,"
Annals of Probability, 21, No. 3, pp 1671-1690. |
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