Publications

1. Krishnamoorthy, K. and Lee, M. Inference for functions of parameters in discrete distributions based on fiducial approach: binomial and Poisson cases. To appear in Journal of Statistical Planning and Inference.

2. Krishnamoorthy, K., Lian, X. and Mondal, S. Tolerance intervals for the distribution of the difference between two independent normal random variables, To appear in Communications in Statistics – Theory and Methods.

3. Zhang, L., Mathew, T., Yang, H., Krishnamoorthy, K. and Cho, I. Tolerance limits for a ratio of normal random Variables. To appear in Journal of Biopharmaceutical Statistics.

4. Krishnamoorthy, K. and Lu, F. (2009). A parametric bootstrap solution to the MANOVA under heteroscedasticity. Journal of Statistical Simulation and Computation.

5. Krishnamoorthy, K., Lin, Y. and Xia, Y. (2009). Confidence limits and prediction limits for a Weibull distribution based on the generalized variable approach. Journal of Statistical Planning and Inference, 139, 2675-2684.

6. Krishnamoorthy, K., Mallick, A. and Mathew, T. (2009) Model based imputation approach for data analysis in the presence of non-detects. Annals of Occupational Hygiene, 59, 249-268.

7. Krishnamoorthy, K. and Mathew, T. (2009). Inference on the symmetric-range accuracy. Annals of Occupational Hygiene, 53, 167-171.

8. 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, 23-15.

9. Krishnamoorthy, K. and Xia, Y. (2008). Sample Size Calculation for Estimating or Testing a Nonzero Squared Multiple Correlation Coefficient. Multivariate Behavioral Research, 43, 382-410.

10. 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

11. Krishnamoorthy, K. and Mondal, S. (2008) Tolerance Factors in Multiple and Multivariate Linear Regressions. Communications in Statistics – Simulation and Computation, 37, 546-559.

12. 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.

13. Krishnamoorthy, K. and Mathew, T. (2008). Statistical Methods for Establishing Equivalency of Several Sampling Devices. Journal of Occupational and Environmental Hygiene, 5, 15-21.

14. 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.

15. 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.

16. Krishnamoorthy , K., Mathew, T. and Lu, F. (2007). A Parametric Bootstrap Approach for ANOVA with Unequal Variances: Fixed and Random Models. Computational Statistics and Data Analysis, 51 5731-5742.

17. Krishnamoorthy, K. and Xia, Y. (2007). Inferences on Correlation Coefficients: One-Sample, Independent and Correlated Cases. Journal of Statistical Planning and Inferences, 137, 2362-2379.

18. Krishnamoorthy, K., Mukherjee, S. and Guo, H. (2007).  Inference on Reliability in Two-Parameter Exponential Stress-Strength Model. Metrika, 65, 261-273.

19. Krishnamoorthy, K. and Xia, Y. (2006). On selecting tests for equality of two normal mean vectors. Multivariate Behavioral Research. 41, 533-548.

20. Krishnamoorthy, K., Mathew, T. and Ramachandran, G. (2006). Generalized p-values and confidence intervals: A novel approach for analyzing lognormally distributed exposure data. Journal of Occupational and Environmental Hygiene, 3, 642-650.

21. 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.

22. Krishnamoorthy, K. and Mondal, S. (2006).  Improved tolerance factors for multivariate normal distributions.  Communications in Statistics – Simulation and Computation, 35, 461-478.

23. 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.

24. Guo, H. and Krishnamoorthy, K. (2005). Comparison between two quantiles: The normal and exponential cases. Communications in Statistics – Simulation and Computation, 34, 243-252.

25. 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.

26. 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.

27. Cai, Y. and Krishnamoorthy, K. (2005). A simple improved inferential method for some discrete distributions. Computational Statistics and Data Analysis, 48, 605-621.

28. Sarandasa, H. and Krishnamoorthy, K. (2005). A multivariate test for similarity of two dissolution profiles. Journal of Biopharmaceutical Statistics, 15, 265-278.

29. Krishnamoorthy, K. and Guo, H. (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.

30. 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.

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.

32. Krishnamoorthy, K. and Lu, Y. (2004). Comparison of five tests for the common mean of several normal populations. Communications in Statistics – Simulation and Computation, 33, 431-446.

33. 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.

34. 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 25 most downloaded articles from JSPI 2002-04]

35. Benton, D., Krishnamoorthy, K. and Mathew, T. (2003). Inferences in Multivariate-Univariate Calibration Problems. The Statistician (JRSS-D), 52, 15-39.

36. Krishnamoorthy, K. and Lu, Y. (2003). Inferences on the common mean of several normal populations based on the generalized variable method. Biometrics, 59, 237-247.

37. 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.

38. 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(2003), 103 – 121. [one of 25 most downloaded articles from JSPI 2002-04]

39. Krishnamoorthy, K. and Moore, B. (2002). Combining information for prediction in linear regression.  Metrika, 56, 73-81.

40. Krishnamoorthy, K. and Thomson. J. (2002). Hypothesis testing about proportions in two finite populations. The American Statistician,  56, 215-222.

41. 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.

42. 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.

43. 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.

44. Krishnamoorthy, K., Kulkarni, P. M. and Mathew, T. (2001). Hypothesis testing in calibration. Journal of Statistical Planning and Inference, 93, 211-223.

45. Hao, J. and Krishnamoorthy, K. (2001). Inferences on normal covariance matrix and generalized variance with incomplete data. Journal of Multivariate Analysis, 78, 62-82.

46. Krishnamoorthy, K. and Mathew, T. (1999). Comparison of approximation methods for computing tolerance factors for a multivariate normal population, Technometrics, 41, 234-249.

47. Krishnamoorthy, K. and Pannala, M. K. (1999). Confidence estimation of normal mean vector with incomplete data, The Canadian Journal of Statistics, 27, 395-407.

48. Krishnamoorthy, K. and Pannala, M. K. (1999). Some simple test procedures for normal mean vector with incomplete data. Annals of the Institute of Statistical Mathematics, 50, 531-542.

49. Krishnamoorthy, K. and Johnson, D. (1997). Combining independent information in a multivariate calibration problem. Journal of Multivariate Analysis, 61, 171-186.

50. Moore, B. and Krishnamoorthy, K. (1997). Combining independent normal sample means by weighting with their standard errors. Journal of Statistical Computation and Simulation, 58, 145-153.

51. Johnson, D. and Krishnamoorthy, K. (1996). Combining independent studies in a calibration problem. Journal of the American Statistical Association, 91, 1707-1715.

52. Jordan, S. M. and Krishnamoorthy, K. (1996). Exact confidence intervals for the common mean of several normal populations. Biometrics, 52, 78-87.

53. 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.

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.

55. Jordan, S. M. and Krishnamoorthy, K. (1995). On combining independent tests in linear models. Statistics & Probability Letters, 23, 117-122.

56. 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.

57. 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.

58. Krishnamoorthy, K. and Raghavarao, D. (1993). Untruthful answering in repeated randomized response procedures. The Canadian Journal of Statistics, 21, 233-236.

59. Shah, A. K. and Krishnamoorthy, K. (1993). Testing means using hypothesis-dependent variance estimates. The American Statistician, 47, 115-117.

60. Krishnamoorthy, K. (1992). On a shrinkage estimator of a normal common mean vector. Journal of Multivariate Analysis, 40, 109-114.

61. Krishnamoorthy, K. (1991). Estimation of a common multivariate normal mean vector. Annals of the Institute of Statistical Mathematics, 43, 761-771.

62. Krishnamoorthy, K. (1991). Estimation of normal covariance and precision matrices with incomplete data. Communications in Statistics – Theory and Methods, 20, 757-770.

63. Krishnamoorthy, K. and Rohatgi, V. K. (1990). Unbiased estimation of the common mean of a multivariate normal distribution. Communications Statistics -- Theory and Methods, 19, 1803-1812.

64. Gupta, A. K. and Krishnamoorthy, K. (1990). Improved estimators of eigenvalues of Sigma_1Sigma_2^{-1}, Statistics and Decisions, 8, 247-263.

65. Krishnamoorthy, K., Rphatgi, 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.

66. Krishnamoorthy, K. and Rohatgi, V. K. (1989). Estimation of a common mean in bivariate normal distribution, Journal of Statistical Computation and Simulation, 31, 187-194.

67. Krishnamoorthy, K. and Gupta, A. K. (1989). Improved minimax estimators of a normal precision matrix, The Canadian Journal of Statistics, 17, 91--102.

68. Krishnamoorthy, K. and Rohatgi, V. K. (1988). Minimum variance unbiased estimation in some nonregular families, Communications in Statistic --Theory and Methods, 17, 3757-3765.

69. 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.

70. Krishnamoorthy, K. and Mitra, S. K. (1986). Cost robustness of an algorithm for optimal integration of surveys, Sankhya, Ser.B, 48, 233-245.

71. Sharma, D. and Krishnamoorthy, K. (1986). An identity concerning a Wishart random matrix, Metrika, 33, 65-68.

72. Sharma, D. and Krishnamoorthy, K. (1985). Empirical Bayes estimators of normal covariance matrix, Sankhya, Ser.A, 24, 247-254.

73. Dhariyal, I. D., Sharma, D. and Krishnamoorthy, K. (1985). Nonexistence of unbiased estimators for ordered parameters, Statistics, 16, 89-95.

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.

75. Krishnamoorthy, K. and Sharma, D. (1984). Asymptotic risk comparison of some estimators for bivariate normal covariance matrix, Tsukuba Journal of Mathematics, 22, 199-208.

76. 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.