Items where Subject is "01 MATHEMATICAL SCIENCES > 0104 Statistics > 010405 Statistical Theory"

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Number of items at this level: 8.

D

Das, Sourav, Subba Rao, Tata, and Boshnakov, Georgi (2018) An asymptotically unbiased weighted least squares estimation criterion for parametric variograms of second order stationary geostatistical processes. Communications in Statistics: simulation and computation. (In Press)

Das, Sourav, and Nason, Guy P. (2016) Measuring the degree of non-stationarity of a time series. Stat, 5 (1). pp. 295-305.

G

Greliche, Nicolas (2014) Stat321, an on-line statistics textbook based on intuitive inferential reasoning. In: Presentations from the International Conference on Teaching Statistics. C183. pp. 1-4. From: ICOTS9: International Conference on Teaching Statistics, 13-18 July 2014, Flagstaff, AZ, USA. (Unpublished)

R

Rao, Tata Subba, Das, Sourav, and Boshnakov, Georgi N. (2014) A frequency domain approach for the estimation of parameters of spatio-temporal stationary random processes. Journal of Time Series Analysis, 35 (4). pp. 357-377.

S

Steele, Michael, and Chaseling, Janet (2006) Powers of discrete goodness-of-fit test statistics for a uniform null against a selection of alternative distributions. Communications in Statistics: simulation and computation, 35 (4). pp. 1067-1075.

Steele, Mike, and Chaseling, Janet (2006) A comparison of the powers of the Chi-Square test statistic with the discrete Kolmogorov-Smirnov and Cramér-von Mises test statistics. In: Proceedings in Computational Statistics COMPSTAT 2006. pp. 615-621. From: COMPSTAT 2006, 28 August - 1 September 2006, Rome, Italy.

Steele, M., Chaseling, J., and Hurst, C. (2005) Simulated power of the discrete Cramér-von Mises goodness-of-fit tests. In: Proceedings of MODSIM05 - International Conference on Modelling and Simulation. pp. 1300-1304. From: MODSIM05 - International Conference on Modelling and Simulation, 12-15 December 2005, Melbourne, VIC, Australia.

Steele, Mike, Chaseling, Janet, and Hurst, Cameron (2005) A power study of goodness-of-fit tests for categorical data. In: UNSPECIFIED. From: ISI2005 - 55th Session of the International Statistical Institute (ISI), 5-12 April 2005, Sydney, Australia.

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