K. Krishnamoorthy

Professor of Statistics

Philip and Jean Piccione Endowed Chair in Statistics

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Publication

Google Scholar
  1. Krishnamoorthy, K. and Gboyega, A. (2025). Optimal Prediction and Tolerance Intervals for the Ratio of Dependent Normal Random Variables.International Journal of Statistical Sciences 25, 11-22. PDF
  2. Krishnamoorthy, K. and Maddux, B-A. (2025). Confidence Intervals for the Difference, Relative Risk and Odds Ratio based on Inverse Sampling. Communications in Statistics - Theory and Methods 54, 1930-1952. PDF
  3. Chowdhury, F. and Krishnamoorthy, K. (2025). Parametric bootstrap and fiducial inference for two-sample problems: two-parameter Maxwell distributions. Communications in Statistics - Simulation and Computation, DOI: 10.1080/03610918.2025.2450702 PDF
  4. Krishnamoorthy, K. and Gboyega, A. (2024). Prediction and Tolerance Intervals for the Ratio of Dependent Normal Random Variables. To appear in Journal of Statistical Sciences, Special Issue in memory of C.R.Rao.
  5. Murshed, M. M., and Krishnamoorthy, K.. (2024). Improved confidence intervals based on combined information in univariate calibration.Journal of Statistical Theory and Practice 18, 32. https://doi.org/10.1007/s42519-024-00385-4 PDF
  6. Krishnamoorthy, K., and Chakraberty, S. (2024). Confidence intervals for a ratio of percentiles of location-scale distributions. Journal of Statistical Planning and Inference 229, 1-16. https://doi.org/10.1016/j.jspi.2023.07.003 PDF
  7. Krishnamoorthy, K., Lv, S. and Murshed, M. M. (2024). Combining Independent Tests for a Common Parameter of Several Continuous Distributions: A New Test and Power Comparisons. Communications in Statistics-Simulation and Computation DOI: 10.1080/03610918.2022.2058546 PDF
  8. Krishnamoorthy, K., and Monzur, M. M. (2024). Confidence estimation based on data from independent studies. Statistical Methods in Medical Research. 33, 42-60. https://doi.org/10.1177/09622802231217644 PDF
  9. Hasan, M. M. and Krishnamoorthy, K. (2023). Confidence intervals and prediction intervals for two-parameter negative binomial distributions, Journal of Applied Statistics. DOI: 10.1080/02664763.2023.2297157 PDF
  10. Yu, J., Krishnamoorthy, K. and Wang, B. (2023). Multivariate Behrens-Fisher problem using means of auxiliary variables. Communications in Statistics - Theory and Methods 52, 6103-6110. DOI: 10.1080/03610926.2022.2026392. PDF
  11. Krishnamoorthy, K., Lv, S. and Chakraberty, S. (2023). A new confidence interval for the ratio of two normal means and comparisons. Journal of Statistical Computation and Simulation 93, 708-722.DOI: 10.1080/00949655.2022.2117360PDF
  12. Lv, S. and Krishnamoorthy, K. (2022). Fiducial confidence intervals for proportions in finite populations: One- and two-sample problems. Communications in Statistics - Theory and Methods 51:12, 4179-4195, DOI: 10.1080/03610926.2020.1811341 PDF
  13. Chowdhury, F. and Krishnamoorthy, K. (2022). Statistical intervals for Maxwell distributions. Journal of Statistical Theory and Practice.16, 45. https://doi.org/10.1007/s42519-022-00270-y PDF
  14. Krishnamoorthy, K. and Chakraberty, S. (2022). Construction of Simultaneous Tolerance Intervals for Several Normal Distributions. Journal of Statistical Computation and Simulation 92, 101–114 DOI: 10.1080/00949655.2021.1932885. PDF
  15. Dang, B-A and Krishnamoorthy, K. (2022). Confidence Intervals, Prediction Intervals and Tolerance Intervals for Negative Binomial Distributions. Statistical Papers.63, 795-820. https://doi.org/10.1007/s00362-021-01255-y PDF
  16. Hoang-Nguyen-Thuy, N. and Krishnamoorthy, K. (2021). A method for computing tolerance intervals for a location-scale family of distributions. Computational Statistics 36, 1065–1092 https://doi.org/10.1007/s00180-020-01031-w PDF
  17. Dang, B-A., Krishnamoorthy, K. and Lv, S. (2021). Confidence intervals for a population size based on capture-recapture data. American Journal of Mathematical and Management Sciences 40, 212–224. PDF
  18. Hoang-Nguyen-Thuy, N. and Krishnamoorthy, K. (2021). Estimation of the probability content in a specified interval using fiducial approach. Journal of Applied Statistics 48, 1541-1558. DOI:10.1080/02664763.2020.1768228 PDF
  19. Krishnamoorthy, K., Nguyen, T. and Sang, Y. (2020). Tests for Comparing Several Two-parameter Exponential Distributions based on Uncensored/Censored Samples. Journal of Statistical Theory and Applications 19, 248–260. PDF
  20. Waguespack, D., Krishnamoorthy, K. and Lee, M. (2020). Tests and Confidence Intervals for the Mean of a Zero-Inflated Poisson Distribution. American Journal of Mathematical and Management Sciences 39:4, 383-390, DOI: 10.1080/01966324.2020.1777914. online PDF
  21. Yu, J., Krishnamoorthy, K. and He, Y. (2020). Testing equality of two normal covariance matrices with monotone missing data. Communications in Statistics Theory and Methods 49, 3911–3918. https://doi.org/10.1080/03610926.2019.15914 PDF
  22. Krishnamoorthy, K. and Lv, S. (2020). Prediction intervals for hypergeometric distributions. Communications in Statistics Theory and Methods 49, 1528–1536. DOI: 10.1080/03610926.2018.1563181 PDF
  23. Krishnamoorthy, K., Waguespack, D. and Hoang-Nguyen-Thuy, N. (2019). Confidence interval, prediction interval and tolerance limits for a two-parameter Rayleigh distribution. Journal of Applied Statistics 47, 160–175. DOI: 10.1080/02664763.2019.1634681 PDF
  24. Weerahandi, S. and Krishnamoorthy, K. (2019). A note reconciling ANOVA tests under unequal error variances. Communications in Statistics Theory and Methods, 48, 689–693. DOI: 10.1080/03610926.2017.1419264 online
  25. Krishnamoorthy, K. and Hasan, S. (2018). Prediction limits for the mean of a sample from a lognormal distribution: Uncensored and censored cases. Journal of Environmental Statistics 8, 1-14. PDF
  26. Krishnamoorthy, K. and Lv, S. (2018). Highest posterior mass prediction intervals for binomial and Poisson distributions. Metrika 81, 775-796. https://doi.org/10.1007/s00184-018-0658-z PDF
  27. Hasan, Md. S. and Krishnamoorthy, K. (2018). Confidence intervals for the mean and a percentile based on zero-inflated lognormal data. Journal of Statistical Simulation and Computation 88, 1499 1514. DOI: 10.1080/00949655.2018.1439033. PDF
  28. Krishnamoorthy, K. and Xia, Y. (2018). Confidence intervals for a two-parameter exponential distribution: One- and two-sample problems. Communications in Statistics Theory and Methods 47, 935 952. DOI 10.1080/03610926.2017.1313983. PDF
  29. Krishnamoorthy, K., Lee, M. and Zhang, D. (2017). Closed-form fiducial confidence intervals for some functions of independent binomial parameters with comparisons. Statistical Methods in Medical Research 26, 43 - 63. DOI: 10.1177/0962280214537809. PDF
  30. Hasan, Md. S. and Krishnamoorthy, K. (2017). Improved confidence intervals for the ratio of coefficients of variation of two lognormal distributions. Journal of Statistical Theory and Applications 16, 345 353. PDF
  31. Krishnamoorthy, K. and Oral, E. (2017). Standardized LRT for comparing several lognormal means and confidence interval for the common mean. Statistical Methods in Medical Research 26, 2919 – 2937. DOI: 10.1177/0962280215615160. PDF
  32. Krishnamoorthy, K., and Wang, X. (2016). Fiducial inference on gamma distribution: Uncensored and censored cases. Environmetrics 27, 479-493. DOI: 10.1002/env.2408 PDF
  33. Krishnamoorthy, K., Peng, J. and Zhang, D. (2016). Modified large sample confidence intervals for Poisson distributions: Ratio, weighted average and product of means. Communications in Statistics Theory and Methods 45, 83 97. PDF
  34. Krishnamoorthy, K. (2016). Modified normal-based approximation for the percentiles of a linear combination of independent random variables with applications. Communications in Statistics-Simulation and Computation, 45, 2428–2444. PDF
  35. Krishnamoorthy, K., Mathew, T. and Peng, J. (2016). A simple method for assessing occupational exposure via the one-way random effects model. Journal of Occupational and Industrial Hygiene 13, 894–903. DOI: 10.1080/15459624.2016.1186803. PDF
  36. Krishnamoorthy, K., Lee, M. and Wang, X. (2015). Likelihood ratio tests for comparing several gamma distributions. Environmetrics 26, 571- 583. PDF
  37. Krishnamoorthy, K. and Zhang, D. (2015). Approximate and fiducial confidence intervals for the difference between two binomial proportions. Communications in Statistics Theory and Methods 44, 1745-1759. PDF
  38. Krishnamoorthy, K. and Peng, J. (2015). Approximate one-sided tolerance limits in random effects model and in some mixed models and comparison. Journal of Statistical Simulation and Computation 85, 1651-1666. PDF
  39. Krishnamoorthy, K., Mathew, T. and Xu, Z. (2014). Comparison of means of two lognormal distributions based on samples with multiple detection limits. Journal of Occupational and Environmental Hygiene 11, 538-546. PDF
  40. Krishnamoorthy, K., Mathew,T. and Xu, Z. (2014). Standardized Likelihood Inference for the Mean and Percentiles of a Lognormal Distribution Based on Samples with Multiple Detection Limits. Journal of Environmental Statistics 6, 1–17. PDF
  41. Krishnamoorthy, K. and Luis, N. (2014). Small sample inference for gamma distributions: one- and two-sample problems. Environmetrics 25, 107–126. PDF
  42. Krishnamoorthy, K. and Lee, M. (2013). Improved tests for the equality of normal coefficients of variation. Computational Statistics 29, 215–232.PDF PDF [This article is in the 50th percentile (ranked 66,059th) of the 197,879 tracked articles of a similar age in all journals and the 1st percentile (ranked 2nd) of the 3 tracked articles of a similar age in Computational Statistics]
  43. 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 114, 378–388.PDF
  44. 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. Annals of Occupational Hygiene 57, 1200–1212. PDF
  45. Krishnamoorthy, K. and Mathew, T. (2013). The symmetric-range accuracyunder a one-way random model with balanced or unbalanced data. Annals of Occupational Hygiene 57, 953-961. PDF
  46. Krishnamoorthy, K. and Lee, M. (2013). New approximate confidence intervals for the difference between two Poisson means and comparison. Journal of Statistical Simulation and Computation 83, 2232–2243. DOI:10.1080/00949655.2012.686616 PDF
  47. Krishnamoorthy, K. and Yu, J. (2012). Multivariate Behrens-Fisher problem with missing data. Journal of Multivariate Analysis 105, 141–150. PDF
  48. 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
  49. 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
  50. 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
  51. Krishnamoorthy, K., Mallick, A. and Mathew, T. (2011). Inference for the lognormal mean and quantiles based on samples with non-detects. Technometrics 53, 72-83. PDF
  52. 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
  53. 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
  54. 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
  55. Peng, J. and Krishnamoorthy, K. (2011). Conditional and unconditional tests for comparing several poisson means. Journal of Applied Statistical Sciences 18, 1-8. PDF
  56. 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 25 hottest articles in Decision Sciences. PDF
  57. Krishnamoorthy, K. and Lin, Y. (2010). Confidence limits for stressstrength reliability involving Weibull models. Journal of Statistical Planning and Inference 140, 1754–1764. PDF
  58. 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
  59. Krishnamoorthy, K. and Mathew, T. (2009). Inference on the symmetric-range accuracy. Annals of Occupational Hygiene 53, 167-171. PDF
  60. 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
  61. 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
  62. 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
  63. 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
  64. Krishnamoorthy, K. and Mondal, S. (2008). Tolerance factors in multiple and multivariate linear regressions. Communications in Statistics Simulation and Computation 37, 546-559. PDF
  65. 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
  66. 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
  67. 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
  68. 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
  69. 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
  70. 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
  71. Krishnamoorthy, K., Mukherjee, S. and Guo, H. (2007). Inference on reliability in two-parameter exponential stress-strength model. Metrika, 65, 261-273. PDF
  72. 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
  73. 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
  74. Krishnamoorthy, K. and Mondal, S. (2006). Improved tolerance factors for multivariate normal distributions. Communications in Statistics – Simulation and Computation 25, 461-478. PDF
  75. 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
  76. Krishnamoorthy, K. and Xia, Y. (2006). On selecting tests for equality of two normal mean vectors. Multivariate Behavioral Research 41, 533-548. PDF
  77. 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
  78. 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
  79. Cai, Y. and Krishnamoorthy, K. (2005). A simple improved inferential method for some discrete distributions. Computational Statistics and Data Analysis 48, 605–621. PDF
  80. Saranadasa, H. and Krishnamoorthy, K. (2005). A multivariate test for similarity of two dissolution profiles. Journal of Biopharmaceutical Statistics 15, 265–278. PDF
  81. Krishnamoorthy, K, Mathew, T. and Ramachandran, G. (2005). 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
  82. 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
  83. Krishnamoorthy, K. and Lu, Y. (2005). On combining correlated estimators of the common mean of a multivariate normal distribution. Journal of Statistical Simulation and Computation 75, 333–345. PDF
  84. 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
  85. 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
  86. 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
  87. 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
  88. 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
  89. Krishnamoorthy, K. and Thomson, J. (2004). A more powerful test for comparing two Poisson means. Journal of Statistical Planning and Inference 119, 23–35. PDF
  90. 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. PDF
  91. 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. PDF
  92. 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
  93. 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
  94. 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
  95. Benton, D., Krishnamoorthy, K. and Mathew, T. (2002). Inferences in multivariate-univariate calibration problems. The Statistician (JRSS-D) 52, 15–39. PDF
  96. Krishnamoorthy, K. and Moore, B. (2002). Combining information for prediction in linear regression. Metrika 56, 73–81. PDF
  97. Krishnamoorthy, K. and Thomson, J. (2002). Hypothesis testing about proportions in two finite populations. The American Statistician 56, 215–222. PDF
  98. 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
  99. Krishnamoorthy, K., Kulkarni, P. and Mathew, T. (2001). Hypothesis testing in calibration. Journal of Statistical Planning and Inference 93, 211–223.PDF
  100. 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
  101. Krishnamoorthy, K. and Mathew, T. (1999). Comparison of approximation methods for computing tolerance factors for a multivariate normal population. Technometrics 41, 234–249. PDF
  102. Krishnamoorthy, K. and Pannala, M. (1999). Confidence estimation of normal mean vector with incomplete data. The Canadian Journal of Statistics 27, 395–407. PDF
  103. 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
  104. Krishnamoorthy, K. and Johnson, D. (1997). Combining independent information in a multivariate calibration problem. Journal of Multivariate Analysis 61, 171–186. PDF
  105. 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
  106. Johnson, D. and Krishnamoorthy, K. (1996). Combining independent studies in a calibration problem. Journal of the American Statistical Association 91, 1707–1715. PDF
  107. Jordan, S. M. and Krishnamoorthy, K. (1996).Exact confidence intervals for the common mean of several normal populations. Biometrics 52, 78–87. PDF
  108. 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
  109. Jordan, S. M. and Krishnamoorthy, K. (1995). On combining independent tests in linear models. Statistics & Probability Letters 23, 117–122.PDF
  110. 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
  111. 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
  112. 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
  113. Shah, A. K. and Krishnamoorthy, K. (1993). Testing means using hypothesis-dependent variance estimates. The American Statistician 47, 115–117. PDF
  114. Krishnamoorthy, K. and Raghavarao, D. (1993). Untruthful answering in repeated randomized response procedures. The Canadian Journal of Statistics 21, 233–236. PDF
  115. Krishnamoorthy, K. (1992). On a shrinkage estimator of a normal common mean vector. Journal of Multivariate Analysis 40, 109–114. PDF
  116. Krishnamoorthy, K. (1991). Estimation of a common multivariate normal mean vector. Annals of the Institute of Statistical Mathematics 43, 761–771. PDF
  117. 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
  118. Krishnamoorthy, K. (1991). Estimation of normal covariance and precision matrices with incomplete data. Communication in Statistics – Theory Methods 20, 757-770. PDF
  119. Gupta, A. K. and Krishnamoorthy, K. (1990). Improved estimators of eigenvalues of Σ 1 Σ −1 2. Statistics and Decisions 8, 247–263.PDF
  120. Krishnamoorthy, K. and Gupta, A. K. (1989). Improved minimax estimators of a normal precision matrix. The Canadian Journal of Statistics 17, 91–102. PDF
  121. 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. PDF
  122. 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
  123. Krishnamoorthy, K. and Rohatgi, (1988). Minimum variance unbiased estimation in some nonregular families. Communications in Statistics – Theory and Methods 17, 3757–3765. PDF
  124. 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
  125. Krishnamoorthy, K. and Mitra, S. K. (1986). Cost robustness of an algorithm for optimal integration of surveys. Sankhya, Ser. B 48, 233–245. PDF
  126. Sharma, D. and Krishnamoorthy, K. (1986). An identity concerning a Wishart random matrix. Metrika 33, 65–68.PDF
  127. Dhariyal, I. D., Sharma, D. and Krishnamoorthy, K. (1985). Nonexistence of unbiased estimators for ordered parameters. Statistics 16, 89–95. PDF
  128. 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
  129. Sharma, D. and Krishnamoorthy, K. (1985). Empirical Bayes estimators of normal covariance matrix. Sankhya, Ser. A 24, 247–254. PDF
  130. 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
  131. 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 Submitted

  1. Krishnamoorthy, K. and Adepoju, G. (2024). Nonparametric tolerance intervals controlling percentages in both tails and simultaneous testing of quantiles.
  2. Krishnamoorthy, K. , Hasan, M. and Adepoju, G. (2024). A note on interval estimating the reliability in a bivariate normal case.
  3. Krishnamoorthy, K. and Hasan, M. (2024). Inference on Two-Parameter Negative Binomial Distributions: One- and Two-Sample Problems.

Letters to the Editor

  1. Krishnamoorthy, K. and Xia, Y. (2020). Comment on the paper by “Hu, X., Jung, A., and Qin, G. (2020), Interval Estimation for the Correlation Coefficient, The American Statistician 74:1, 29–36.” The American Statistician 74:4, 418-418. PDF
  2. Krishnamoorthy, K. and Shah, A. (2020). A report on the paper “Sungsu Kim. 2019. The probable error in the hypothesis test of normal means using a small sample.” Communications in Statistics - Theory and Methods. DOI: 10.1080/03610926.2019.1703135 PDF
  3. Krishnamoorthy, K. (2022). A note on the paper Singhasomboona, L., Panichkitkosolkula, W. and Volodin, A. (2020). Confidence intervals for the ratio of medians of two independent log-normal distributions. Communications in Statistics - Simulation and Computation https://doi.org/10.1080/03610918.2020.1812649, Communications in Statistics - Simulation and Computation, DOI: 10.1080/03610918.2020.1839096 PDF
  4. Krishnamoorthy, K. and Lv, S. (2024). A Report on the Paper ``Xia Cai, Feng Siman & Yan Liang (2022): Generalized fiducial inference for the lower confidence limit of reliability based on Weibull distribution, Communications in Statistics - Simulation and Computation, DOI: 10.1080/03610918.2022.2067873'' PDF

R Package

  1. Marvick, B. and Krishnamoorthy, K. (2019). Tests for the Equality of Coefficients of Variation from Multiple Groups. Package: "cvequality" PDF

Books

  1. Handbook of Statistical Distributions with Applications; 2nd edition. (424 pages) Chapman & Hall/CRC Press, Boca Raton, Florida (October 2015).
  2. Handbook of Statistical Distributions with Applications (376 pages) Chapman & Hall/CRC Press, Boca Raton, Florida (June 2006).
  3. Statistical Tolerance Regions: Theory, Applications and Computation (464 pages). Co-author: Thomas Mathew. John Wiley (April 2009).

Book Chapters

  1. Krishnamoorthy, K. (2011). Statistical Distributions Overview. International Encyclopedia of Statistics, Springer.
  2. Krishnamoorthy, K., and Mathew, T. (2011). Tolerance Intervals and Tolerance Regions, Encyclopedia of Statistical Science, John Wiley.

Patent

  1. Co-inventor. Title: Method of and system for optimizing rate of penetration in drilling operations. US Patent No. US6155357; European: E21B44/00
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