-
1
-
-
0000501656
-
Information theory and an extension to the maximum likelihood principle
-
B.N., Csaki, F. (Eds.), Akademiai Kiado, Budapest
-
Akaike, H., 1973. Information Theory and an extension to the maximum likelihood principle. Second International Symposium on Information Theory Petrov, B.N., Csaki, F. (Eds.), Akademiai Kiado, Budapest, 267-281.
-
(1973)
Second International Symposium on Information Theory Petrov
, pp. 267-281
-
-
Akaike, H.1
-
3
-
-
84989444320
-
Multivariate spatial interpolation and exposure to air pollutants
-
Brown P.J., Le N.D., Zidek J.V. Multivariate spatial interpolation and exposure to air pollutants. Canad. J. Statist. 22:1994;489-510.
-
(1994)
Canad. J. Statist.
, vol.22
, pp. 489-510
-
-
Brown, P.J.1
Le, N.D.2
Zidek, J.V.3
-
5
-
-
0039644192
-
Bayesian inference for generalized linear and proportional hazards models via Gibbs sampling
-
Dellaportas P., Smith A.F.M. Bayesian inference for generalized linear and proportional hazards models via Gibbs sampling. Appl. Statist. 42:1993;443-459.
-
(1993)
Appl. Statist.
, vol.42
, pp. 443-459
-
-
Dellaportas, P.1
Smith, A.F.M.2
-
6
-
-
0002747177
-
The direct use of likelihood for significance testing
-
In: Barndorff-Nielsen, O., Blaesild, P., Schou, G. (Eds.), Department of Theoretical Statistics, University of Aarhus
-
Dempster, A., 1974. The direct use of likelihood for significance testing. In: Barndorff-Nielsen, O., Blaesild, P., Schou, G. (Eds.), Proceedings of Conference on Foundational Questions in Statistical Inference. Department of Theoretical Statistics, University of Aarhus, pp. 335-352.
-
(1974)
Proceedings of Conference on Foundational Questions in Statistical Inference
, pp. 335-352
-
-
Dempster, A.1
-
8
-
-
0041392649
-
Bayesian variogram modeling for an isotropic spatial process
-
Ecker M.D., Gelfand A.E. Bayesian variogram modeling for an isotropic spatial process. J. Agric. Biol. Environ. Statist. 2:1997;347-369.
-
(1997)
J. Agric. Biol. Environ. Statist.
, vol.2
, pp. 347-369
-
-
Ecker, M.D.1
Gelfand, A.E.2
-
9
-
-
0000324169
-
Adaptive rejection sampling for Gibbs sampling
-
Gilks W.R., Wild P. Adaptive rejection sampling for Gibbs sampling. Appl. Statist. 41:1992;337-348.
-
(1992)
Appl. Statist.
, vol.41
, pp. 337-348
-
-
Gilks, W.R.1
Wild, P.2
-
10
-
-
0026465454
-
Linear coregionalization models: Tools for estimation and choice of cross-variogram matrix
-
Goulard M., Voltz M. Linear coregionalization models: tools for estimation and choice of cross-variogram matrix. Math. Geol. 24:1992;269-286.
-
(1992)
Math. Geol.
, vol.24
, pp. 269-286
-
-
Goulard, M.1
Voltz, M.2
-
12
-
-
79960450252
-
On Bayesian analysis of generalized linear models using Jeffreys' prior
-
Ibrahim J.G., Laud P.W. On Bayesian analysis of generalized linear models using Jeffreys' prior. J. Amer. Statist. Assoc. 86:1991;981-986.
-
(1991)
J. Amer. Statist. Assoc.
, vol.86
, pp. 981-986
-
-
Ibrahim, J.G.1
Laud, P.W.2
-
13
-
-
0002572881
-
Spatial-temporal analysis of multivariate environmental monitoring data
-
G.P. Patil, & C.R. Rao. Amsterdam: Elsevier
-
Mardia K.V., Goodall C.R. Spatial-temporal analysis of multivariate environmental monitoring data. Patil G.P., Rao C.R. Multivariate Environmental Statistics. 1993;347-386 Elsevier, Amsterdam.
-
(1993)
Multivariate Environmental Statistics
, pp. 347-386
-
-
Mardia, K.V.1
Goodall, C.R.2
-
15
-
-
84865486245
-
Principles of geostatistics
-
Matheron G. Principles of geostatistics. Econom. Geol. 58:1963;1246-1266.
-
(1963)
Econom. Geol.
, vol.58
, pp. 1246-1266
-
-
Matheron, G.1
-
16
-
-
0030190951
-
An Integral transform approach to cross-variograms modelling
-
Rehman S.U., Shapiro A. An Integral transform approach to cross-variograms modelling. Comput. Statist. Data Anal. 22:1996;213-233.
-
(1996)
Comput. Statist. Data Anal.
, vol.22
, pp. 213-233
-
-
Rehman, S.U.1
Shapiro, A.2
-
17
-
-
0000120766
-
Estimating the dimension of a model
-
Schwarz G. Estimating the dimension of a model. Ann. Statist. 6:1978;461-464.
-
(1978)
Ann. Statist.
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
18
-
-
0004161172
-
Bayesian deviance, the effective number of parameters and the comparison of arbitrarily complex models
-
England: Cambridge, Biostatistics Unit, M.R.C.
-
Spiegelhalter D.J., Best N.G., Carlin B.P. Bayesian deviance, the effective number of parameters and the comparison of arbitrarily complex models. Tech Report, Biostatistics Unit, M.R.C. 1998;Cambridge, England.
-
(1998)
Tech Report
-
-
Spiegelhalter, D.J.1
Best, N.G.2
Carlin, B.P.3
|