Items where department is "Statistics"

University Structure (106206) LSE (106206) Academic Departments (62869) Statistics (1716)
Number of items: 20.
A
  • Atkinson, Anthony (1999). Bayesian and other biased-coin designs for sequential clinical trials. Tatra Mountains Mathematical Publications, 17, 403-421.
  • Atkinson, Anthony (1999). Optimum biased-coin designs for sequential treatment allocation with covariate information. Statistics in Medicine, 18(14), 1741-1752. https://doi.org/10.1002/(SICI)1097-0258(19990730)18:14<1741::AID-SIM210>3.0.CO;2-F
  • Atkinson, Anthony C., Cheng, T.-C. (1999). Computing least trimmed squares regression with the forward search. Statistics and Computing, 9(4), 251-263. https://doi.org/10.1023/A:1008942604045
  • Atkinson, Anthony C., Zocchi, S. S. (1999). Optimum experimental designs for multinomial logistic models. Biometrics, 55(2), 437-444. https://doi.org/10.1111/j.0006-341X.1999.00437.x
  • B
  • Knott, Martin, Bartholomew, David J. (1999). Latent variable models and factor analysis. Edward Arnold.
  • Stenseth, N.C, Chan, K.S, Boonstra, S, Boutin, S, Krebs, C.J, Post, E, O'Donoghue, M, Yoccoz, N.G, Forchhammer, M.C & Hurrell, J.W et al (1999). Common dynamic structure of Canadian lynx populations within three geoclimate regions. Science, 285(5430), 1071-1077. https://doi.org/10.1126/science.285.5430.1071
  • C
  • Campanelli, Pamela Comber (1999). The impact of the interviewer Nonresponse and response variance in social surveys. [Doctoral thesis]. London School of Economics and Political Science. picture_as_pdf
  • Cheshire, Paul (1999). Economic indicators for European cities: why boundaries matter. In The Quality of Life in the Cities and Regions of the European Union: Indicators . Statistical Office of the European Communities.
  • Romaniuk, H., Skinner, Chris J., Cooper, P. J. (1999). Modelling consumers' use of products. Journal of the Royal Statistical Society. Series A: Statistics in Society, 162(3), 407-421. https://doi.org/10.1111/1467-985X.00144
  • Smith, P. W. F., Skinner, Chris J., Clarke, P. S. (1999). Allowing for non-ignorable non-response in the analysis of voting intention data. Journal of the Royal Statistical Society. Series C: Applied Statistics, 48(4), 563-577. https://doi.org/10.1111/1467-9876.00172
  • D
  • Diks, C, Tong, Howell (1999). A test for symmetries of multivariate probability distributions. Biometrika, 86(3), 605-614. https://doi.org/10.1093/biomet/86.3.605
  • F
  • Smith, Leonard A., Ziehmann, C., Fraedrich, K. (1999). Uncertainty dynamics and predictability in chaotic systems. Quarterly Journal of the Royal Meteorological Society, 125(560), 2855-2886. https://doi.org/10.1002/qj.49712556005
  • H
  • Hall, Peter, Wolff, Rodney C. L., Yao, Qiwei (1999). Methods for estimating a conditional distribution function. Journal of the American Statistical Association, 94(445), 154-163.
  • Skinner, Chris J., Humphreys, K. (1999). Weibull regression for lifetimes measured with error. Lifetime Data Analysis, 5(1), 23-37. https://doi.org/10.1023/A:1009674915476
  • K
  • Ziehmann, Christine, Smith, Leonard A., Kurths, Jürgen (1999). The bootstrap and Lyapunov exponents in deterministic chaos. Physica D: Nonlinear Phenomena, 126(1-2), 49-59. https://doi.org/10.1016/S0167-2789(98)00256-5
  • L
  • Li, W.K, Tong, Howell, Xia, Y (1999). On extended partially linear single-index models. Biometrika, 86(4), 831-842. https://doi.org/10.1093/biomet/86.4.831
  • M
  • McSharry, Patrick E., Smith, Leonard A. (1999). Better nonlinear models from noisy data: attractors with maximum likelihood. Physical Review Letters, 83(21), 4285-4288. https://doi.org/10.1103/PhysRevLett.83.4285
  • Yao, Qiwei, Morgan, B J T (1999). Empirical transform estimation for indexed stochastic models. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 61(1), 127-141. https://doi.org/10.1111/1467-9868.00167
  • S
  • Skinner, Chris J. (1999). Calibration weighting and non-sampling errors. Research in Official Statistics, 2, 33-43.
  • T
  • Tong, Howell (1999). Some recent nonparametric tools for time series data analysis. Bulletin of the International Statistical Institute, 53rd s(Tome 5), 387-390.