Publications

1. Krishnamoorthy, K. and Lian, X. (2011). Closed-form approximate tolerance intervals for some general linear models and comparison studies. To appear in Journal of Statistical Computation and Simulation.

2. Krishnamoorthy, K., Xia, Y. and Xie, F. (2010). A simple approximate procedure for constructing binomial and Poisson tolerance intervals, To appear in Communications in Statistics-Theory and Methods.

3. Krishnamoorthy, K., Mallick, A. and Mathew, T. (2011). Inference for the lognormal mean and quantiles based on samples with left and right type I censoring. Technometrics, 53, 72-83.

4. Krishnamoorthy, K. and Peng, J. (2011). Closed-form approximate prediction intervals for binomial and Poisson distributions. Journal of Statistical Planning and Inference, 141, 1709-1718.

5. Krishnamoorthy, K., and Xie, F. (2011). Tolerance intervals for some location-scale families of distributions based on censored or uncensored samples. Journal of Statistical Planning and Inference, 141, 1170-1182.

6. 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.

7. Krishnamoorthy, K., and Lin, Y. (2010). Confidence limits for stress–strength reliability involving Weibull models. Journal of Statistical Planning and Inference, 140, 1754-1764.

8. Krishnamoorthy, K. and Meesook, L. (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.

9. Zhang, L., Mathew, T., Yang, H., Krishnamoorthy, K. and Cho, I. (2010). Tolerance limits for a ratio of normal random Variables. Journal of Biopharmaceutical Statistics, 20, 172-184.

10. Krishnamoorthy, K. and Lu, F. (2010). A parametric bootstrap solution to the MANOVA under heteroscedasticity.

Journal of Statistical Simulation and Computation, 80, 873-887.

11. 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.

12. 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.

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

14.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.

15. 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.

16.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.

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

18. 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.

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

20. 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.

21. 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.

22. 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.

23. 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.

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

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

26. 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.

27. 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.

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

29. 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.

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

31. 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.

32. 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.

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

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

35. 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.

36. 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.

37. 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.

38. 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.

39. 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.

40. 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]

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

42. 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.

43. 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.

44. 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]

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

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

47. 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.

48. 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.

49. 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.

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

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

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

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

54. 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.

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

56. 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.

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

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

59. 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.

60. 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.

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

62. 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.

63. 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.

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

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

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

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

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

69. 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.

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

71. 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.

72. 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.

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

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

75. 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.

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

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

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

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

80. 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.

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

82. 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.

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.

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.