Australian & New Zealand Journal of Statistics

Volume 45.

(as bibtex)

61 references.

Articles

• 1-2. Inaugural editor's award
  Lloyd, Chris
• 1-4. Pitman Medal for 2002 awarded to Terry Speed
  Lloyd, Chris
• 107-113. Theory & Methods: An Optimal Multivariate Stratified Sampling Design Using Dynamic Programming
  Khan, E.A., Ahsan, M.J., Khan, M.G.M.
• 107-113. An optimal multivariate stratified sampling design using dynamic programming
  Khan, M. G. M., Khan, E. A., Ahsan, M. J.
• 115-123. Theory & Methods: Tests for Bivariate Symmetry Against Ordered Alternatives in Square Contingency Tables
  Pardo, J.A., Pardo, L., Menéndez, M.L.
• 115-123. Tests for bivariate symmetry against ordered alternatives in square contingency tables
  Menéndez, M. L., Pardo, J. A., Pardo, L.
• 129-140. Statistical control for road pavements
  Griffiths, David, Gulati, Chandra, Ollis, Jim
• 141-152. Teaching statistical consulting before statistical methodology
  Taplin, Ross H.
• 153-165. An affine-invariant generalization of the Wilcoxon signed-rank test for the bivariate location problem
  Larocque, Denis, Tardif, Serge, van Eeden, Constance
• 167-174. On the optimality and limitations of Buehler bounds
  Lloyd, Chris J., Kabaila, Paul
• 175-179. A new measure of kurtosis adjusted for skewness
  Blest, David C.
• 181-194. The use of balanced incomplete block designs in designing randomized response surveys
  Smith, Narelle F., Street, Deborah J.
• 19-27. The design and analysis of a mixture experiment on glass durability
  Martin, R. J., Platts, L. M., Seddon, A. B., Stillman, E. C.
• 19-27. Applications: The Design And Analysis of a Mixture Experiment on Glass Durability
  Stillman, E.C., Seddon, A.B., Platts, L.M., Martin, R.J.
• 195-205. The general multivariate Gauss-Markov model of the incomplete block design
  Oktaba, Wiktor
• 195-205. The General Multivariate Gauss—Markov Model of the Incomplete Block Design
  Oktaba, Wiktor
• 207-216. Sequential procedure for fixed accuracy estimation of the population size in recapture sampling
  Yip, Paul S. F., Fang, Xiangzhong, Zhou, Yong, Wang, Yan
• 217-228. Prediction error property of the lasso estimator and its generalization
  Huang, Fuchun
• 229-249. Minimal basis for a connected Markov chain over $3 × 3 × K$ contingency tables with fixed two-dimensional marginals
  Aoki, Satoshi, Takemura, Akimichi
• 229-249. Minimal Basis for a Connected Markov Chain over 3 × 3 ×K Contingency Tables with Fixed Two-Dimensional Marginals
  2, and 1 Akimichi Takemura, Aoki, Satoshi
• 251-252. Correction to ``On Efron's parameterization'' (2002V44 p337-343)
  Vos, Paul W., Kass, Robert E.
• 251-252. Letter to the Editor
  de Castro, Mário, Galea-Rojas, Manuel, Bolfarine, Heleno
• 257-270. On modelling data from degradatioon sample paths over time
  Lin, Tsung I., Lee, Jack C.
• 257-270. On modelling data from degradation sample paths over time
  Lin, Tsung I., Lee, Jack C.
• 271-284. Variable kernel density estimation
  Terrell, George R., Scott, David W.
• 271-284. Variable kernel density estimation
  Hazelton, Martin L.
• 285-300. Effective directed tests for models with ordered categorical data
  Cohen, Arthur, Madigan, David, Sackrowitz, Harold B.
• 29-42. Theory & Methods: A New Characterization and Estimation of the Zero–bias Bandwidth
  Sain, Stephan R.
• 29-42. A new characterization and estimation of the zero-bias bandwidth
  Sain, Stephan R.
• 301-318. Generalized discriminant analysis based on distances
  Anderson, Marti J., Robinson, John
• 319-329. Towards optimal regression estimation in sample surveys
  Berger, Yves G., Tirari, Mohammed E.H., Tillé, Yves
• 331-342. On the convergence of moving average processes under dependent conditions
  Baek, Jong-Il, Kim, Tae-Sung, Liang, Han-Ying
• 343-352. A multivariate parallelogram and its application to multivariate trimmed means
  Horng Shiau, Jyh-Jen, Chen, Lin-An
• 353-366. A note on the correlation structure of transformed Gaussian random fields
  De Oliveira, Victor
• 367-376. Non-parametric group sequential designs in randomized clinical trials
  Bandyopadhyay, Uttam, Biswas, Atanu
• 377-378. Letter to the editor -- Re: Khan, M. G. M., Khan, E. A. & Ahsan, M. J. (2003). An optimal multivariate stratified sampling design using dynamic programming
  Whitaker, David
• 377-378. Letter to the editor
  Whitaker, David
• 379-381. Book reviews
  Best, Mark A.
• 383-394. Monitoring for increases in process variance
  Sparks, Ross
• 395-430. Ancestral Inference in Population Genetics Models with Selection (with Discussion)
  2, and 1 Peter Donnelly, Stephens, Matthew
• 395-423. Ancestral inference in population genetics models with selection (Pkg: p395-430)
  Stephens, Matthew, Donnelly, Peter
• 423-426. Comment on ``Ancestral inference in population genetics models with selection'' (Pkg: p395-430)
  Wilson, Susan R.
• 427-428. Comment on ``Ancestral inference in population genetics models with selection'' (Pkg: p395-430)
  Bahlo, Melanie, Thomson, Russell, Speed, Terry
• 428-430. Reply to comments on ``Ancestral inference in population genetics models with selection'' (Pkg: p395-430)
  Stephens, Matthew, Donnelly, Peter
• 43-65. Theory & Methods: Bayesian Measures of the Minimum Detectable Concentration of an Immunoassay
  Deely, John J., O'Malley, A. James
• 43-65. Bayesian measures of the minimum detectable concentration of an immunoassay
  O'Malley, A. James, Deely, John J.
• 431-444. Models with errors due to misreported measurements
  Henderson, Brent, Jarrett, Richard
• 445-459. A sparse implementation of the average information algorithm for factor analytic and reduced rank variance models
  Thompson, Robin, Cullis, Brian, Smith, Alison, Gilmour, Arthur
• 461-475. Non-parametric testing of conditional variance functions in time series
  Lab, Namane
• 477-489. A lack-of-fit test for heteroscedastic regression models via cosine-series smoothers
  Li, Chin-Shang
• 491-502. Bayesian inference for a stochastic epidemic model with uncertain numbers of susceptibles of several types
  Hayakawa, Yu, O'Neill, Philip D., Upton, Darren, Yip, Paul S.F.
• 503-504. Reply to comment on ``An optimal multivariate stratified sampling design using dynamic programming'' (p377-348)
  Khan, M.G.M.
• 507-510. Indexes for Volume 45
  
• 67-82. Theory & Methods: Bias in Multinomial Models
  Nyangoma, Stephen O.
• 67-82. Bias in multinomial models
  Nyangoma, Stephan O.
• 7-18. A note on the sensitivities of self-reporting and screen detection of primary breast tumours
  Tallis, G. M., Leppard, P., O'Neill, T. J.
• 7-18. Applications: A Note on the Sensitivities of Self–reporting and Screen Detection of Primary Breast Tumours
  O'Neill, T.J., Leppard, P., Tallis, G.M.
• 83-96. Exact bounds for the bias of trimmed means
  Danielak, Katarzyna, Rychlik, Tomasz
• 83-96. Theory & Methods: Exact Bounds for the Bias of Trimmed Means
  Rychlik, Tomasz, Danielak, Katarzyna
• 97-106. On the construction of nearest-neighbour balanced row-column designs
  Chan, Barbara S. P., Eccleston, J. A.
• 97-106. Theory & Methods: On the Construction of Nearest–Neighbour Balanced Row–Column Designs
  Eccleston, J.A., Chan, Barbara S.P.