My Publications
  1. Linkletter, C. D., Ranjan, P., Lin, C. D., Bingham, D. R., Brenneman, W. A., Lockhart, R. A. & Loughin, T. M. (2012) Compliance testing for random effects models with joint acceptance criteria. Technometrics , to appear.
  2. M. Dylan Tisdal, Richard A. Lockhart and M. Stella Atkins. The bias / variance trade-off in estimators for MR signal magnitude.Magnetic Resonance in Medicine, 66,1456–1467) DOI: 10.1002/mrm.22910
  3. Lockhart, R. A. (2011). Conditional Limit Laws for Goodness-of-Fit Tests. Bernoulli, to appear.
  4. Lockhart, R. (2011). Contribution to "A Tribute to David Blackwell". George Roussas, Ed. in Notices of the American Mathematical Society. 58, 912--928.
  5. Lockhart, R.A. (2010). David Harold Blackwell: Obituary Bernoulli News, 17.
  6. Chiu, G and Lockhart, R. A. (2010). Bent-cable regression with autoregressive noise. The Canadian Journal of Statistics, 38, 386–407.
  7. Lockhart, R.A. and Spinelli, J. J. (2009). The life and work of Michael A. Stephens: a conversation with Richard A. Lockhart and John J. Spinelli. Journal of Statistical Theory and Practice, 3, 751--762.
  8. Hu, XJ, Lagakos, S & Lockhart, RA: (2009). Marginal analysis of panel counts through estimating functions. Biometrika, 96, 445--456.
  9. Lockhart, R. A., O'Reilly, F.J. & Stephens, M.A. (2009). Exact conditional tests and approximate bootstrap tests for the von Mises distribution. Journal of Statistical Theory and Practice, 3, 543--554.
  10. Hu, XJ, Lagakos, S & Lockhart, RA (2009). Generalized least squares estimation with panel counts. Statistica Sinica, 19, 561–580.
  11. Borwein, P., Erdelyi, T., Ferguson, R. & Lockhart, R.A. (2008). On the zeros of cosine polynomials: solution to a problem of Littlewood. Annals of Mathematics, 167, 1109–1117
  12. Jeske, D, Lockhart, R, Stephens, MA and Zhang, Q. (2008). Cramer-von Mises tests for the Compatibility of Two Software Environments. Technometrics, 50, 53--60.
  13. Lockhart, R.A., Spinelli, J. J. and Stephens, M.A. (2007). Cramér-von Mises statistics for discrete distributions with unknown parameters. The Canadian Journal of Statistics, 35, 125–133.
  14. Lockhart, R. A., O'Reilly, F.J. & Stephens, M.A. (2007). Use of the Gibbs Sampler to obtain conditional tests, with applications. Biometrika, 94, 992-998.
  15. Summers, A., Swartz, T.B. and Lockhart, R.A. (2007). Optimal drafting in hockey pools. In Statistical Thinking in Sports, (editors J. Albert and R.H. Koning), CRC Press.
  16. M. Dylan Tisdall, M. Stella Atkins, S. and Richard Lockhart (2007). Maximum Likelihood Estimators in Magnetic Resonance Imaging. Presented by M.Dylan Tisdall at Information Processing in Medical Imaging, 2007.
  17. Lockhart, R. A. & Perera, C. W. (2006). Testing normality in designs with many parameters. Technometrics, 48, 436—444.
  18. Chiu, Grace, Lockhart, R. A., and Routledge, R. D. (2006). Bent-Cable Regression Theory and Applications. Journal of the American Statistical Association, 101, 542—553.
  19. Chiu, Grace, Lockhart, R. A. and Routledge, R. D. (2005). Asymptotic theory for bent cable regression---the basic case. Journal of Statistical Planning Inference, 127, 143—156.
  20. Lockhart, R.A. and O'Reilly, F.J. (2005). A note on Moore's Conjecture. Statistics & Probability Letters, 74, 212—220.
  21. Anderson, T.W., Lockhart, R. A. and Stephens, M. A. (2004). An Omnibus Test for the Time Series Model AR(1). Journal of Econometrics, 118, 111—127.
  22. Chen, Gemai, Lockhart, R.A. and Stephens, M.A. (2002). Large Sample Theory for Box-Cox Transformations in Linear Models (With discussion. Read March 22, 2002, in the read paper series of The Canadian Journal of Statistics). The Canadian Journal of Statistics, 30, 177—234.
  23. Genest, Christian, Lockhart, R.A. and Stephens, M.A. (2002). Chi-square and the lottery. Journal of the Royal Statistical Society, Series D, 51, 243—257.
  24. Spinelli, J. J., Lockhart, R.A. and Stephens, M.A. (2002). Tests for a Poisson distribution in a Poisson regression model. Journal of Statistical Planning and Inference, 108, 137—154.
  25. Chiu, Grace, Lockhart, R. A. & Routledge, R. D. (2002). Bent-cable Asymptotics when the Bend is Missing. Statistics and Probability Letters, 59, 9—16.
  26. Borwein, Peter and Lockhart, R. A. (2001). The Expected $L_p$ Norm of Random Polynomials. Proceedings of the American Mathematics Society, 129, 1463—1472
  27. Chen, Gemai and Lockhart, R.A. (2001). Weak convergence of the empirical process of residuals in linear models with many parameters. Annals of Statistics, 29, 748—762.
  28. Lockhart, R.A (2000). Discussion for Contributions of empirical and quantile processes to the asymptotic theory of goodness-of-fit tests. E. del Barrio, J.A. Cuesta-Albertos and C. Matrán in Test, 9, 81-84.
  29. Lockhart, R. A. and M. A. Stephens (1998). The Probability Plot: Tests of Fit Based on the Correlation Coefficient. Chapter 16 in Handbook of statistics, vol. 17. Order Statistics: Applications. Eds: N. Balakrishnan, C. R. Rao. Elsevier: Amsterdam.
  30. Kulperger, R. J. and Lockhart, R. A. (1998). Tests of Independence in Time Series. Journal of Time Series Analysis. 19, 165—185.
  31. Chen, Gemai and Lockhart, Richard A. (1997). Box-Cox transformed linear models: A parameter-based asymptotic approach. The Canadian Journal of Statistics, 25, 531—543.
  32. Lockhart, R.A. and Stephens, M.A. (1994). Goodness-of-fit for the three parameter Weibull. Journal of the Royal Statistical Society, Series B, 56, 491—500.
  33. Choulakian, V., Lockhart, R.A. and Stephens, M.A. (1994). Cramer Von Mises Statistics for discrete distributions. The Canadian Journal of Statistics, 22, 125—137.
  34. Lockhart, R.A. and Swartz, T.B. (1992). Computing Asymptotic P-values for EDF tests. Statistics and Computing, 2, 137—141.
  35. Lockhart, R.A. (1991). Overweight Tails are Inefficient. Annals of Statistics, 19, 2254—2258.
  36. Lockhart, R.A. and Spinelli, J.J. (1990). Comments on Kinnison (1989). Refereed letter to the editor of the American Statistician, 44, 259—260.
  37. Guttorp, P. and Lockhart, R.A. (1989). Estimation in sparsely sampled random walks. Stochastic Processes and their Applications, 31, 315—320.
  38. Guttorp, P. and Lockhart, R.A. (1989). On the asymptotic distribution of high order spacings statistics. The Canadian Journal of Statistics, 17, 419—426.
  39. Guttorp, Peter. and Lockhart, Richard.A. (1988). Finding the location of a signal: a Bayesian Analysis. Journal of the American Statistical Association, 83, 322—330.
  40. Guttorp, P. and Lockhart, R.A. (1988). On the asymptotic distribution of quadratic forms in uniform order statistics. Annals of Statistics, 16, 433—449.
  41. Meester, S.G. and Lockhart, R.A. (1988). Testing for normal errors in designs with many blocks. Biometrika, 75, 569—575.
  42. Berger, G.W., Kuo, J. and Lockhart, R.A., (1987). Regression and error analysis applied to the dose-response curves in thermoluminescence dating. International Journal of Radiation Applications and Instruments, Part D, 13, 177—184.
  43. McLaren, C.G. and Lockhart, R.A. (1987). On the asymptotic efficiency of certain correlation tests of fit. The Canadian Journal of Statistics, 15, 159—168.
  44. Lockhart, R.A., O'Reilly, F.J. and Stephens, M.A. (1986). Tests for the extreme value and Weibull distributions based on normalized spacings. Naval Research Logistics Quarterly, 33, 413—421.
  45. Lockhart, R.A., O'Reilly, F.J. and Stephens, M.A. (1986). Tests of fit based on normalized spacings. Journal of the Royal Statistical Society, Series B, 48, 344—352.
  46. Guttorp, P., Kulperger, R. and Lockhart, R.A. (1985). Coupling Proofs of Weak Convergence. Journal of Applied Probability, 22, 447—453.
  47. Lockhart, R.A. and McLaren, G.C., (1985). Asymptotic Points for a Test of Symmetry about a Specified Median. Biometrika, 72, 208—210.
  48. Lockhart, R.A. & Stephens, M.A. (1985). Tests of Fit for the Von Mises Distribution. Biometrika, 72, 647—652.
  49. Lockhart, R.A. (1985). The Asymptotic Distribution of the Correlation Coefficient in Testing Fit to the Exponential Distribution, The Canadian Journal of Statistics, 13, 253—256.
  50. Burgess, John P. and Lockhart, R.A. (1983). Classical hierarchies from a modern viewpoint. Fundamenta Mathematicae, 115, 107—118.
  51. Lockhart, R.A. (1982). On the non-existence of consistent estimates in Galton-Watson processes. Journal of Applied Probability, 19, 842—846.
  52. Zidek, James V., Navin, Francis, P.D. and Lockhart, R.A. (1979). Statistics of extremes: An alternate method with application to bridge design codes. Technometrics, 21; 185—191.