Publications

  1. Krishnamoorthy, K. and Mathew, T. and Xu, Z. (2013). Tests for an upper percentile of a lognormal distribution based on samples with multiple detection limits and sample size calculation. To appear in Annals of Occupational Hygiene.
  2. Krishnamoorthy, K. and Mathew, T. (2013). The symmetric-range accuracy under a one-way random model with balanced or unbalanced data. To appear in Annals of Occupational Hygiene.
  3. Krishnamoorthy, K. and Zhang, D. (2013). Approximate and fiducial confidence intervals for the difference between two binomial proportions. To appear in Communications in Statistics – Theory and Methods.
  4. Krishnamoorthy, K. (2013). Comparison of confidence intervals for correlation coefficients based on incomplete monotone samples and those based on listwise deletion. Journal of Multivariate Analysis. DOI: 10.1016/j.jmva.2012.08.003 PDF
  5. Krishnamoorthy, K. and Yu, J. (2012). Multivariate Behrens-Fisher problem with missing data. Journal of Multivariate Analysis, 105, 141-150. PDF
  6.  Krishnamoorthy, K. and Lee, M. (2012). Moment confidence intervals for the difference between two Poisson means and comparison. Journal of Statistical Computation and Simulation. PDF.
  7. Krishnamoorthy, K. and Lian, X. (2012).  Closed-form approximate tolerance intervals for some general linear models and comparison studies.  Journal of Statistical Computation and Simulation, 82, 547-563. PDF
  8. Krishnamoorthy, K. and Xu, Z. (2011). Confidence limits for lognormal percentiles and for lognormal mean based on samples with multiple detection limits. Annals of Occupational Hygiene, 55, 495-509. PDF
  9. Krishnamoorthy, K., Xia, Y. and Xie, F.  (2011).  A simple approximate procedure for constructing tolerance intervals for binomial and Poisson distributions. Communications in Statistics -Theory and Methods, 40, 2443-2458.  PDF
  10. Krishnamoorthy, K., Mallick, A. and Mathew, T. (2011). Inference for the lognormal mean and quantiles based on samples with nondetetcts. Technomterics, 53, 72-83. PDF

11.  Krishnamoorthy, K. and Peng, J. (2011). Improved closed-form prediction intervals for binomial and Poisson distributions. Journal of Statistical Planning and Inference, 141, 1709-1718. PDF

12.  Krishnamoorthy, K. and Xie, F. (2011). Tolerance intervals for symmetric location-scale distributions based on censored or uncensored data. Journal of Statistical Planning Inference, 141, 1170-1182. PDF

  1. Krishnamoorthy, K., Lian, X. and Mondal, S. (2011). Tolerance intervals for the distribution of the difference between two independent normal random variables. Communications in Statistics -Theory and Methods, 40, 117-129. PDF
  2. Krishnamoorthy, K. and Lee, M. (2010). Inference for functions of parameters in discrete distributions based on fiducial approach: binomial and Poisson cases. Journal of Statistical Planning and Inference, 140, 1182-1192. PDF  One of the top 25 hottest articles in Decision Sciences.
  3. Krishnamoorthy, K. and Lin, Y. (2010). Confidence limits for stress-strength reliability involving Weibull models. Journal of Statistical Planning and Inference, 140, 17541764. PDF
  4. Lanju Zhang, Thomas Mathew, Harry Yang, K. Krishnamoorthy and Iksung Cho (2010). Tolerance limits for a ratio of normal random Variables. Journal of Biopharmaceutical Statistics, 20, 172-184. PDF
  5. Krishnamoorthy, K. and Mathew, T. (2009). Inference on the symmetric-range accuracy. Annals of Occupational Hygiene, 53, 167-171. PDF
  6. Krishnamoorthy, K., Mallick, A. and Mathew, T. (2009). Model based imputation approach for data analysis in the presence of non-detectable values. Annals of Occupational Hygiene, 59, 249-268. PDF
  7. Krishnamoorthy, K., Lin, Y. and Xia, Y. (2009). Confidence limits and prediction limits for a Weibull distribution. Journal of Statistical Planning and Inference, 139, 2675-2684. PDF   One of the top 25 hottest articles in Decision Sciences.
  8. Krishnamoorthy, K. and Tian, L. (2008). Inference on the difference and ratio of the means of two inverse Gaussian distributions. Journal of Statistical Planning and Inference, 138, 2082–2089. PDF
  9. Krishnamoorthy, K., Mathew, T. and Mukherjee, S. (2008). Normal based methods for a gamma distribution: prediction and tolerance interval and stress-strength reliability. Technometrics, 50, 69-78. PDF
  10. Krishnamoorthy, K. and Mondal, S. (2008). Tolerance factors in multiple and multivariate linear regressions. Communications in Statistics Simulation and Computation, 37, 546-559. PDF
  11. Krishnamoorthy, K. and Mathew, T. (2008). Statistical Methods for Establishing Equivalency of Several Sampling Devices. Journal of Occupational and Environmental Hygiene, 5, 15-21. PDF
  12. Krishnamoorthy, K. and Lu, F. (2008). A parametric bootstrap solution to the MANOVA under heteroscedasticity. Journal of Statistical Computation and Simulation, 80, 873-887. PDF
  13. Krishnamoorthy, K. and Xia, Y. (2008). Sample size calculation for estimating or testing a nonzero multiple correlation coefficient. Multivariate Behavioral Research, 43, 382–410. PDF
  14. Krishnamoorthy, K. and Peng, J. (2008). Exact properties of a new test and other tests for differences between several binomial proportions. Journal of Applied Statistical Science, 16, 23–35. PDF
  15. Krishnamoorthy, K. and Peng, J. (2007). Some properties of the exact and score methods for a binomial proportion and sample size calculation. Communications in Statistics -Simulation and Computation, 36, 1171–1186. PDF
  16. Krishnamoorthy, K. and Yanping Xia (2007). Inferences on correlation coefficients: one-sample, independent and correlated cases. Journal of Statistical Planning and Inference, 137, 2362–2379. PDF
  17. Krishnamoorthy, K., Mukherjee, S. and Guo, H. (2007). Inference on reliability in two-parameter exponential stress-strength model. Metrika, 65, 261-273. PDF
  18. Krishnamoorthy, K., Mathew, T. and Ramachandran, G. (2007). Upper limits for the exceedance probabilities in one-way random effects model. Annals of Occupational Hygiene, 51, 397-406. PDF
  19. Krishnamoorthy, K., Lu, F. and Mathew, T. (2007). A parametric bootstrap approach for ANOVA with unequal variances: fixed and random models. Computational Statistics and Data Analysis, 51, 5731–5742. PDF
  20. Krishnamoorthy, K. and Mondal, S. (2006). Improved tolerance factors for multivariate normal distributions. Communications in Statistics – Simulation and Computation, 25, 461-478. PDF
  21. Krishnamoorthy, K. and Xia, Y. (2006). On selecting tests for equality of two normal mean vectors. Multivariate Behavioral Research, 41, 533-548. PDF
  22. Yu, J., Krishnamoorthy, K. and Pannala, M. K. (2006). Two-sample inference for normal mean vectors based on monotone missing data. Journal of Multivariate Analysis, 97, 2162-2176. PDF
  23. Krishnamoorthy, K, Mathew, T. and Ramachandran, G. (2006). Generalized p-values and confidence limits: A novel approach for analyzing lognormally distributed exposure data. Journal of Occupational and Environmental Hygiene, 3, 252–260. PDF
  24. Cai, Y. and Krishnamoorthy, K. (2006). Exact size and power properties of five tests for multinomial proportions. Communications in Statistics Simulation and Computation, 35, 449–460. PDF
  25. Guo, H. and Krishnamoorthy, K. (2005). Comparison between two quantiles: The normal and exponential cases. Communications in Statistics – Simulation and Computation, 34, 243–252. PDF
  26. Cai, Y. and Krishnamoorthy, K. (2005). A simple improved inferential method for some discrete distributions. Computational Statistics and Data Analysis, 48, 605–621. PDF
  27. Saranadasa, H. and Krishnamoorthy, K. (2005). A multivariate test for similarity of two dissolution profiles. Journal of Biopharmaceutical Statistics, 15, 265–278. PDF
  28. Krishnamoorthy, K. and Guo, H. (2005). Assessing occupational exposure via the one-way random effects model with unbalanced data. Journal of Statistical Planning and Inference, 128, 219–229. PDF
  29. Krishnamoorthy, K. and Lu, Y. (2005). On combining correlated estimators of the common mean of a multivariate normal distribution. Journal of Statistical Computation and Simulation, 75, 333–345. PDF
  30. Krishnamoorthy, K. and Lu, Y. (2004). Comparison of five tests for the common mean of several normal populations. Communication in Statistics – Simulation and Computation, 33, 431–446. PDF
  31. Krishnamoorthy, K. and Mathew, T. (2004). One-Sided tolerance limits in balanced and unbalanced one-way random models based on generalized confidence limits. Technometrics, 46, 44–52. PDF
  32. Guo, H. and Krishnamoorthy, K. (2004). New approximate inferential methods for the reliability parameter in a stress-strength model: The normal case. Communication in Statistics – Theory and Methods, 33, 1715–1731. PDF
  33. Krishnamoorthy, K. and Yu, J. (2004). Modified Nel and Van der Merwe test for the multivariate Behrens-Fisher problem. Statistics & Probability Letters, 66, 161–169. PDF
  34. Krishnamoorthy, K., Thomson, J. and Cai, Y. (2004). An exact method for testing equality of several binomial proportions to a specified standard. Computational Statistics and Data Analysis, 45, 697–707. PDF
  35. Krishnamoorthy, K. and Thomson, J. (2004). A more powerful test for comparing two Poisson means. Journal of Statistical Planning and Inference, 119, 23–35. [one of the most downloaded articles in JSPI] PDF
  36. Krishnamoorthy, K. and Mathew, T. (2003). Inferences on the means of lognormal distributions using generalized p-values and generalized confidence intervals. Journal of Statistical Planning and Inference, 115, 103 – 121. [one of the most downloaded articles in JSPI] PDF
  37. Krishnamoorthy, K. and Lu, Y. (2003). Inferences on the common mean of several normal populations based on the generalized variable method. Biometrics, 59, 237–241. PDF  
  38. Benton, D. and Krishnamoorthy, K. (2003). Computing discrete mixtures of continuous distributions: noncentral chisquare, noncentral t and the distribution of the square of the sample multiple correlation coefficient. Computational Statistics and Data Analysis, 43, 249–267. PDF
  39. Krishnamoorthy, K. and Mathew, T. (2002). Statistical methods for establishing equivalency of a sampling device to the OSHA standard. American Industrial Hygiene Association Journal, 63, 567–571. PDF
  40. Krishnamoorthy, K. and Mathew, T. (2002). Assessing occupational exposure via the one-way random effects model. Journal of Agricultural, Biological and Environmental Statistics, 7, 440–451. PDF
  41. Benton, D., Krishnamoorthy, K. and Mathew, T. (2002). Inferences in multivariate-univariate calibration problems. The Statistician (JRSS-D), 52, 15–39. PDF
  42. Krishnamoorthy, K. and Moore, B. (2002). Combining information for prediction in linear regression. Metrika, 56, 73–81. PDF
  43. Krishnamoorthy, K. and Thomson, J. (2002). Hypothesis testing about proportions in two finite populations. The American Statistician, 56, 215–222. PDF
  44. Benton, D. and Krishnamoorthy, K. (2002). Performance of the parametric bootstrap method in small sample interval estimates. Advances and Applications in Statistics, 2, 269–285. PDF
  45. Krishnamoorthy, K., Kulkarni, P. and Mathew, T. (2001). Hypothesis testing in calibration. Journal of Statistical Planning and Inference, 93, 211–223. PDF
  46. Hao, J. and Krishnamoorthy, K. (2001). Inferences on normal covariance matrix and generalized variance with incomplete data. Journal of Multivariate Analysis, 78, 62–82. PDF
  47. Krishnamoorthy, K. and Mathew, T. (1999). Comparison of approximation methods for computing tolerance factors for a multivariate normal population. Technometrics, 41, 234–249. PDF
  48. Krishnamoorthy, K. and Pannala, M. (1999). Confidence estimation of normal mean vector with incomplete data. The Canadian Journal of Statistics, 27, 395–407. PDF
  49. Krishnamoorthy, K. and Pannala, M. (1998). Some simple test procedures for a normal mean vector with incomplete data. Annals of the Institute of Statistical Mathematics, 50, 531–542. PDF
  50. Krishnamoorthy, K. and Johnson, D. (1997). Combining independent information in a multivariate calibration problem. Journal of Multivariate Analysis, 61, 171–186. PDF
  51. Krishnamoorthy, K. and Moore, B. (1997). Combining independent normal sample means by weighting with their standard errors. Journal of Statistical Computation and Simulation, 58, 145–153. PDF
  52. Johnson, D. and Krishnamoorthy, K. (1996). Combining independent studies in a calibration problem. Journal of the American Statistical Association, 91, 1707–1715. PDF
  53. Jordan, S. M. and Krishnamoorthy, K. (1996). Exact confidence intervals for the common mean of several normal populations. Biometrics, 52, 78–87. PDF
  54. Jordan, S. M. and Krishnamoorthy, K. (1995). Confidence regions for the common mean vector of several multivariate normal populations. The Canadian Journal of Statistics, 23, 283–297. PDF
  55. Jordan, S. M. and Krishnamoorthy, K. (1995). On combining independent tests in linear models. Statistics & Probability Letters, 23, 117–122. PDF
  56. Krishnamoorthy, K. and Shah, A. K. (1995). Testing equality of several normal means to a specified standard: Four test procedures and their power comparisons. Journal of Quality Technology, 27, 132–138. PDF
  57. Krishnamoorthy, K. and Pal, N. (1994). Unbiased equivariant estimation of a common normal mean vector with one observation from each population. Statistics & Probability Letters, 19, 33–38. PDF
  58. Krishnamoorthy, K. and Sarkar, S. K. (1993). Simultaneous estimation of independent normal mean vectors with unknown covariance matrices. Journal of Multivariate Analysis, 47, 329–338. PDF
  59. Shah, A. K. and Krishnamoorthy, K. (1993). Testing means using hypothesis-dependent variance estimates. The American Statistician, 47, 115–117. PDF
  60. Krishnamoorthy, K. and Raghavarao, D. (1993). Untruthful answering in repeated randomized response procedures. The Canadian Journal of Statistics, 21, 233–236. PDF
  61. Krishnamoorthy, K. (1992). On a shrinkage estimator of a normal common mean vector. Journal of Multivariate Analysis, 40, 109–114. PDF
  62. Krishnamoorthy, K. (1991). Estimation of a common multivariate normal mean vector. Annals of the Institute of Statistical Mathematics, 43, 761–771. PDF
  63. Krishnamoorthy, K. (1991). Estimation of normal covariance and precision matrices with incomplete data. Communication in Statistics – Theory Methods, 20, 757-770. PDF
  64. Krishnamoorthy, K. and Rohatgi, V. K. (1990). Unbiased estimation of the common mean of a multivariate normal distribution. Communications in Statistics – Theory Methods, 19, 1803–1812. PDF
  65. Gupta, A. K. and Krishnamoorthy, K. (1990). Improved estimators of eigenvalues of Σ1Σ−1 . Statistics and Decisions, 8, 247–263. PDF
  66. Krishnamoorthy, K. and Gupta, A. K. (1989). Improved minimax estimators of a normal precision matrix. The Canadian Journal of Statistics, 17, 91–102. PDF
  67. Krishnamoorthy, K. and Rohatgi, V. K. (1989). Estimation of common mean in a bivariate normal distribution. Journal of Statistical Computation and Simulation, 31, 187–194.
  68. Krishnamoorthy, K., Rohatgi, V. K. and Blass, J. (1989). Unbiased estimation in type II censored samples from a one-truncation parameter density. Communications in Statistics – Theory and Methods, 18, 1023–1030. PDF
  69. Krishnamoorthy, K. and Rohatgi, (1988). Minimum variance unbiased estimation in some nonregular families. Communications in Statistics – Theory and Methods, 17, 3757–3765. PDF
  70. Krishnamoorthy, K. and Mitra, S. K. (1987). Optimal integration of two or three PPS surveys with common sample size n> 1. Sankhya, Ser. B, 49, 283–306. PDF
  71. Krishnamoorthy, K. and Mitra, S. K. (1986). Cost robustness of an algorithm for optimal integration of surveys. Sankhya, Ser. B, 48, 233–245. PDF
  72. Sharma, D. and Krishnamoorthy, K. (1986). An identity concerning a Wishart random matrix. Metrika, 33, 65–68. PDF
  73. Dhariyal, I. D., Sharma, D. and Krishnamoorthy, K. (1985). Nonexistence of unbiased estimators for ordered parameters. Statistics, 16, 89–95. PDF
  74. Sharma, D. and Krishnamoorthy, K. (1985). Improved minimax estimators of normal covariance and precision matrices from incomplete samples. Calcutta Statistical Association Bulletin, 34, 23–42. PDF
  75. Sharma, D. and Krishnamoorthy, K. (1985). Empirical Bayes estimators of normal covariance matrix. Sankhya, Ser. A, 24, 247–254. PDF
  76. Krishnamoorthy, K. and Sharma, D. (1984). Asymptotic risk comparison of some estimators for bivariate normal covariance matrix. Tsukuba Journal of Mathematics, 21, 199–208. PDF
  77. Sharma, D. and Krishnamoorthy, K. (1983). Orthogonal equivariant minimax estimators of bivariate normal covariance matrix and precision matrix. Calcutta Statistical Association Bulletin, 32, 23–45. PDF

Papers in Press

Books

  1. Krishnamoorthy, K. (2006). Handbook of Statistical Distributions with Applications. Chapman & Hall/CRC.
  2. Krishnamoorthy, K. and Mathew, T. (2009). Statistical Tolerance Regions: Theory, Applications and Computation. Wiley.

Book Chapters

  1.  Krishnamoorthy, K. (2011). Statistical Distributions – Overview. International Encyclopedia of Statistics, Springer. 
  2.  Krishnamoorthy, K., and Mathew, T. (2010). Tolerance Regions. Handbook of Engineering, Quality Control and Physical Science, Wiley.