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T Mathew

(deceased)

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This person is deceased (Date: unknown)
First Name:T
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Last Name:Mathew
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RePEc Short-ID:pth57

Research output

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Working papers

  1. Lawrence, Craig & Thomas, Mathew, 2008. "Real Options: Applications in Public Economics," MPRA Paper 11915, University Library of Munich, Germany.

Articles

  1. Yongli Han & Philip Leung Ho Yu & Thomas Mathew, 2019. "Shrinkage estimation of Kelly portfolios," Quantitative Finance, Taylor & Francis Journals, vol. 19(2), pages 277-287, February.
  2. Jian Zhao & Thomas Mathew, 2018. "Some Point Estimates and Confidence Regions for Multivariate Inter-laboratory Data Analysis," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 80(1), pages 147-166, December.
  3. Philip L.H. Yu & Thomas Mathew & Yuanyuan Zhu, 2017. "A generalized pivotal quantity approach to portfolio selection," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(8), pages 1402-1420, June.
  4. Ionut Bebu & George Luta & Thomas Mathew & Brian K. Agan, 2016. "Generalized Confidence Intervals and Fiducial Intervals for Some Epidemiological Measures," IJERPH, MDPI, vol. 13(6), pages 1-13, June.
  5. Gaurav Sharma & Thomas Mathew & Ionut Bebu, 2014. "Combining Multivariate Bioassays: Accurate Inference Using Small Sample Asymptotics," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(1), pages 152-166, March.
  6. Gaurav Sharma & Thomas Mathew, 2012. "One-Sided and Two-Sided Tolerance Intervals in General Mixed and Random Effects Models Using Small-Sample Asymptotics," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(497), pages 258-267, March.
  7. Li Cao & Thomas Mathew, 2009. "Testing the Equivalence of Generalized Variances in Multivariate Bioequivalence," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 38(16-17), pages 2983-2991, October.
  8. K. Jayakumar & Thomas Mathew, 2008. "On a generalization to Marshall–Olkin scheme and its application to Burr type XII distribution," Statistical Papers, Springer, vol. 49(3), pages 421-439, July.
  9. K. Kurian & Thomas Mathew & G. Sebastian, 2008. "Generalized confidence intervals for process capability indices in the one-way random model," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 67(1), pages 83-92, January.
  10. Thomas Mathew, 2007. "Bioequivalence Studies in Drug Development: Methods and Applications by Dieter Hauschke, Volker Steinijans, Iris Pigeot," International Statistical Review, International Statistical Institute, vol. 75(2), pages 272-273, August.
  11. Hari K. Iyer & C.M. Jack Wang & Thomas Mathew, 2004. "Models and Confidence Intervals for True Values in Interlaboratory Trials," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 1060-1071, December.
  12. Thomas Mathew & Kenneth Nordstrom, 1999. "On the Equivalence of Meta-Analysis Using Literature and Using Individual Patient Data," Biometrics, The International Biometric Society, vol. 55(4), pages 1221-1223, December.
  13. Mathew, T. & Niyogi, A. & Sinha, B. K., 1994. "Improved Nonnegative Estimation of Variance Components in Balanced Multivariate Mixed Models," Journal of Multivariate Analysis, Elsevier, vol. 51(1), pages 83-101, October.
  14. Zhou, L. P. & Mathew, T., 1994. "Combining Independent Tests in Multivariate Linear Models," Journal of Multivariate Analysis, Elsevier, vol. 51(2), pages 265-276, November.
  15. Khuri, A. I. & Mathew, T. & Nel, D. G., 1994. "A Test to Determine Closeness of Multivariate Satterthwaite's Approximation," Journal of Multivariate Analysis, Elsevier, vol. 51(1), pages 201-209, October.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Lawrence, Craig & Thomas, Mathew, 2008. "Real Options: Applications in Public Economics," MPRA Paper 11915, University Library of Munich, Germany.

    Cited by:

    1. Biljana Rakic & Tamara Radenovic, 2014. "Real Options Methodology In Public-Private Partnership Projects Valuation," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 59(200), pages 91-114, January –.

Articles

  1. Philip L.H. Yu & Thomas Mathew & Yuanyuan Zhu, 2017. "A generalized pivotal quantity approach to portfolio selection," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(8), pages 1402-1420, June.

    Cited by:

    1. Piao Chen & Zhi‐Sheng Ye & Xun Xiao, 2019. "Pairwise model discrimination with applications in lifetime distributions and degradation processes," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(8), pages 675-686, December.

  2. K. Jayakumar & Thomas Mathew, 2008. "On a generalization to Marshall–Olkin scheme and its application to Burr type XII distribution," Statistical Papers, Springer, vol. 49(3), pages 421-439, July.

    Cited by:

    1. García, V.J. & Gómez-Déniz, E. & Vázquez-Polo, F.J., 2010. "A new skew generalization of the normal distribution: Properties and applications," Computational Statistics & Data Analysis, Elsevier, vol. 54(8), pages 2021-2034, August.

  3. K. Kurian & Thomas Mathew & G. Sebastian, 2008. "Generalized confidence intervals for process capability indices in the one-way random model," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 67(1), pages 83-92, January.

    Cited by:

    1. Roy, Anindya & Bose, Arup, 2009. "Coverage of generalized confidence intervals," Journal of Multivariate Analysis, Elsevier, vol. 100(7), pages 1384-1397, August.
    2. Amy Lee & Chien-Wei Wu & Yen-Wen Chen, 2016. "A modified variables repetitive group sampling plan with the consideration of preceding lots information," Annals of Operations Research, Springer, vol. 238(1), pages 355-373, March.
    3. Amy H. I. Lee & Chien-Wei Wu & Yen-Wen Chen, 2016. "A modified variables repetitive group sampling plan with the consideration of preceding lots information," Annals of Operations Research, Springer, vol. 238(1), pages 355-373, March.
    4. George Sebastian & Sasi Ajitha, 2017. "Bootstrap Lower Confidence Limits of Superstructure Process Capability Indices for Esscher-Transformed Laplace Distribution," Stochastics and Quality Control, De Gruyter, vol. 32(2), pages 87-98, December.
    5. Rendao Ye & Tiefeng Ma & Songgui Wang, 2011. "Generalized confidence intervals for the process capability indices in general random effect model with balanced data," Statistical Papers, Springer, vol. 52(1), pages 153-169, February.

  4. Hari K. Iyer & C.M. Jack Wang & Thomas Mathew, 2004. "Models and Confidence Intervals for True Values in Interlaboratory Trials," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 1060-1071, December.

    Cited by:

    1. Tian, Lili, 2006. "Testing equality of inverse Gaussian means under heterogeneity, based on generalized test variable," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1156-1162, November.
    2. Roy, Anindya & Bose, Arup, 2009. "Coverage of generalized confidence intervals," Journal of Multivariate Analysis, Elsevier, vol. 100(7), pages 1384-1397, August.
    3. Wang, Xiaofei & Wang, Bing Xing & Hong, Yili & Jiang, Pei Hua, 2021. "Degradation data analysis based on gamma process with random effects," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1200-1208.
    4. Gunasekera, Sumith, 2018. "Inference for the Burr XII reliability under progressive censoring with random removals," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 144(C), pages 182-195.
    5. Friedrich, Thomas & Knapp, Guido, 2013. "Generalised interval estimation in the random effects meta regression model," Computational Statistics & Data Analysis, Elsevier, vol. 64(C), pages 165-179.
    6. Li, Xinmin & Wang, Juan & Liang, Hua, 2011. "Comparison of several means: A fiducial based approach," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1993-2002, May.
    7. Burch, Brent D., 2021. "A family of unbiased confidence intervals for a ratio of variance components," Statistics & Probability Letters, Elsevier, vol. 169(C).
    8. Jai Won Choi & Balgobin Nandram & Boseung Choi, 2022. "Combining Correlated P-values From Primary Data Analyses," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 11(6), pages 1-12, November.
    9. Tian, Lili, 2010. "Confidence interval estimation of partial area under curve based on combined biomarkers," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 466-472, February.

  5. Thomas Mathew & Kenneth Nordstrom, 1999. "On the Equivalence of Meta-Analysis Using Literature and Using Individual Patient Data," Biometrics, The International Biometric Society, vol. 55(4), pages 1221-1223, December.

    Cited by:

    1. Ding‐Geng Chen & Dungang Liu & Xiaoyi Min & Heping Zhang, 2020. "Relative efficiency of using summary versus individual data in random‐effects meta‐analysis," Biometrics, The International Biometric Society, vol. 76(4), pages 1319-1329, December.
    2. Böckenhoff, Annette & Hartung, Joachim, 2000. "Meta-analysis: Different methods - different conclusions?," Technical Reports 2000,08, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    3. Ruoyu Wang & Qihua Wang & Wang Miao, 2023. "A robust fusion-extraction procedure with summary statistics in the presence of biased sources," Biometrika, Biometrika Trust, vol. 110(4), pages 1023-1040.
    4. Elena Kulinskaya & Stephan Morgenthaler & Robert G. Staudte, 2014. "Combining Statistical Evidence," International Statistical Review, International Statistical Institute, vol. 82(2), pages 214-242, August.
    5. Dungang Liu & Regina Y. Liu & Minge Xie, 2015. "Multivariate Meta-Analysis of Heterogeneous Studies Using Only Summary Statistics: Efficiency and Robustness," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(509), pages 326-340, March.

  6. Mathew, T. & Niyogi, A. & Sinha, B. K., 1994. "Improved Nonnegative Estimation of Variance Components in Balanced Multivariate Mixed Models," Journal of Multivariate Analysis, Elsevier, vol. 51(1), pages 83-101, October.

    Cited by:

    1. Jian Zhao & Thomas Mathew, 2018. "Some Point Estimates and Confidence Regions for Multivariate Inter-laboratory Data Analysis," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 80(1), pages 147-166, December.
    2. Oualkacha Karim & Labbe Aurelie & Ciampi Antonio & Roy Marc-Andre & Maziade Michel, 2012. "Principal Components of Heritability for High Dimension Quantitative Traits and General Pedigrees," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(2), pages 1-27, January.
    3. Wu, Xiaoyong & Zou, Guohua & Li, Yingfu, 2009. "Uniformly minimum variance nonnegative quadratic unbiased estimation in a generalized growth curve model," Journal of Multivariate Analysis, Elsevier, vol. 100(5), pages 1061-1072, May.
    4. Aryal, Subhash & Bhaumik, Dulal K. & Mathew, Thomas & Gibbons, Robert D., 2014. "An optimal test for variance components of multivariate mixed-effects linear models," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 166-178.
    5. Kubokawa, Tatsuya & Tsai, Ming-Tien, 2006. "Estimation of covariance matrices in fixed and mixed effects linear models," Journal of Multivariate Analysis, Elsevier, vol. 97(10), pages 2242-2261, November.
    6. Hisayuki Tsukuma & Tatsuya Kubokawa, 2014. "Unified Improvements in Estimation of a Normal Covariance Matrix in High and Low Dimesions," CIRJE F-Series CIRJE-F-937, CIRJE, Faculty of Economics, University of Tokyo.

  7. Zhou, L. P. & Mathew, T., 1994. "Combining Independent Tests in Multivariate Linear Models," Journal of Multivariate Analysis, Elsevier, vol. 51(2), pages 265-276, November.

    Cited by:

    1. Ye, Ren-Dao & Ma, Tie-Feng & Wang, Song-Gui, 2010. "Inferences on the common mean of several inverse Gaussian populations," Computational Statistics & Data Analysis, Elsevier, vol. 54(4), pages 906-915, April.
    2. Jordan, Scott M. & Krishnamoorthy, K., 1995. "On combining independent tests in linear models," Statistics & Probability Letters, Elsevier, vol. 23(2), pages 117-122, May.

  8. Khuri, A. I. & Mathew, T. & Nel, D. G., 1994. "A Test to Determine Closeness of Multivariate Satterthwaite's Approximation," Journal of Multivariate Analysis, Elsevier, vol. 51(1), pages 201-209, October.

    Cited by:

    1. Mortarino, Cinzia, 2005. "A decomposition for a stochastic matrix with an application to MANOVA," Journal of Multivariate Analysis, Elsevier, vol. 92(1), pages 134-144, January.
    2. Dayanand Naik & Shantha Rao, 2001. "Analysis of multivariate repeated measures data with a Kronecker product structured covariance matrix," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(1), pages 91-105.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-PPM: Project, Program and Portfolio Management (1) 2008-12-07
  2. NEP-PUB: Public Finance (1) 2008-12-07

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