| Year |
Citation |
Score |
| 2018 |
Weinberg DH, Abowd JM, Belli RF, Cressie N, Folch DC, Holan SH, Levenstein MC, Olson KM, Reiter JP, Shapiro MD, Smyth JD, Soh L, Spencer BD, Spielman SE, Vilhuber L, et al. Effects of a Government-Academic Partnership: Has the NSF-CENSUS Bureau Research Network Helped Improve the US Statistical System? Journal of Survey Statistics and Methodology. 7: 589-619. DOI: 10.1093/Jssam/Smy023 |
0.314 |
|
| 2016 |
Bradley JR, Cressie N, Shi T. A comparison of spatial predictors when datasets could be very large Statistics Surveys. 10: 100-131. DOI: 10.1214/16-Ss115 |
0.378 |
|
| 2016 |
Sengupta A, Cressie N, Kahn BH, Frey R. Predictive Inference for Big, Spatial, Non-Gaussian Data: MODIS Cloud Data and its Change-of-Support Australian and New Zealand Journal of Statistics. 58: 15-45. DOI: 10.1111/Anzs.12148 |
0.379 |
|
| 2015 |
Burden S, Cressie N, Steel DG. The SAR Model for Very Large Datasets: A Reduced Rank Approach Econometrics. 3: 317-338. DOI: 10.3390/Econometrics3020317 |
0.483 |
|
| 2015 |
Zammit-Mangion A, Cressie N, Ganesan AL, O'Doherty S, Manning AJ. Spatio-temporal bivariate statistical models for atmospheric trace-gas inversion Chemometrics and Intelligent Laboratory Systems. 149: 227-241. DOI: 10.1016/J.Chemolab.2015.09.006 |
0.397 |
|
| 2015 |
Bradley JR, Cressie N, Shi T. Comparing and selecting spatial predictors using local criteria Test. 24: 1-28. DOI: 10.1007/S11749-014-0415-1 |
0.414 |
|
| 2015 |
Bradley JR, Cressie N, Shi T. Rejoinder on: Comparing and selecting spatial predictors using local criteria Test. 24: 54-60. DOI: 10.1007/S11749-014-0414-2 |
0.342 |
|
| 2014 |
Porter AT, Holan SH, Wikle CK, Cressie N. Spatial Fay-Herriot models for small area estimation with functional covariates Spatial Statistics. 10: 27-42. DOI: 10.1016/J.Spasta.2014.07.001 |
0.459 |
|
| 2014 |
Clifford D, Pagendam D, Baldock J, Cressie N, Farquharson R, Farrell M, Macdonald L, Murray L. Rethinking soil carbon modelling: A stochastic approach to quantify uncertainties Environmetrics. 25: 265-278. DOI: 10.1002/Env.2271 |
0.316 |
|
| 2013 |
Parslow J, Cressie N, Campbell EP, Jones E, Murray L. Bayesian learning and predictability in a stochastic nonlinear dynamical model. Ecological Applications : a Publication of the Ecological Society of America. 23: 679-98. PMID 23865222 DOI: 10.1890/12-0312.1 |
0.387 |
|
| 2013 |
Sengupta A, Cressie N. Empirical Hierarchical Modelling for Count Data using the Spatial Random Effects Model Spatial Economic Analysis. 8: 389-418. DOI: 10.1080/17421772.2012.760135 |
0.493 |
|
| 2013 |
Sengupta A, Cressie N. Hierarchical statistical modeling of big spatial datasets using the exponential family of distributions Spatial Statistics. DOI: 10.1016/J.Spasta.2013.02.002 |
0.491 |
|
| 2013 |
Kang EL, Cressie N. Bayesian hierarchical ANOVA of regional climate-change projections from NARCCAP phase II International Journal of Applied Earth Observation and Geoinformation. 22: 3-15. DOI: 10.1016/J.Jag.2011.12.007 |
0.402 |
|
| 2013 |
Clifford D, Cressie N, England JR, Roxburgh SH, Paul KI. Correction factors for unbiased, efficient estimation and prediction of biomass from log-log allometric models Forest Ecology and Management. 310: 375-381. DOI: 10.1016/J.Foreco.2013.08.041 |
0.363 |
|
| 2013 |
Zhuang L, Cressie N, Pomeroy L, Janies D. Multi-species SIR models from a dynamical Bayesian perspective Theoretical Ecology. 6: 457-473. DOI: 10.1007/S12080-013-0180-X |
0.308 |
|
| 2013 |
Cressie N, Morara M, Buxton B, Mcmillan N, Strauss W, Wilson N. A Bayesian multivariate analysis of children's exposure to pesticides Environmetrics. 24: 357-366. DOI: 10.1002/Env.2220 |
0.313 |
|
| 2013 |
Cressie N, Wang R. Statistical properties of the state obtained by solving a nonlinear multivariate inverse problem Applied Stochastic Models in Business and Industry. 29: 424-438. DOI: 10.1002/Asmb.1946 |
0.315 |
|
| 2012 |
Cressie N, Assunçao R, Holan SH, Levine M, Nicolis O, Zhang J, Zou J. Dynamical random-set modeling of concentrated precipitation in North America Statistics and Its Interface. 5: 169-182. DOI: 10.4310/Sii.2012.V5.N2.A3 |
0.333 |
|
| 2012 |
Kang EL, Cressie N, Sain SR. Combining outputs from the North American Regional Climate Change Assessment Program by using a Bayesian hierarchical model Journal of the Royal Statistical Society. Series C: Applied Statistics. 61: 291-313. DOI: 10.1111/J.1467-9876.2011.01010.X |
0.393 |
|
| 2012 |
Zhuang L, Cressie N. Spatio-temporal modeling of sudden infant death syndrome data Statistical Methodology. 9: 117-143. DOI: 10.1016/J.Stamet.2011.01.006 |
0.388 |
|
| 2012 |
Li H, Calder CA, Cressie N. One-step estimation of spatial dependence parameters: Properties and extensions of the APLE statistic Journal of Multivariate Analysis. 105: 68-84. DOI: 10.1016/J.Jmva.2011.08.006 |
0.456 |
|
| 2012 |
Katzfuss M, Cressie N. Bayesian hierarchical spatio-temporal smoothing for very large datasets Environmetrics. 23: 94-107. DOI: 10.1002/Env.1147 |
0.455 |
|
| 2011 |
Huang C, Hsing T, Cressie N. Spectral density estimation through a regularized inverse problem Statistica Sinica. 21: 1115-1144. DOI: 10.5705/Ss.2009.186 |
0.375 |
|
| 2011 |
Wunch D, Wennberg PO, Toon GC, Connor BJ, Fisher B, Osterman GB, Frankenberg C, Mandrake L, O'Dell C, Ahonen P, Biraud SC, Castano R, Cressie N, Crisp D, Deutscher NM, et al. A method for evaluating bias in global measurements of CO 2 total columns from space Atmospheric Chemistry and Physics. 11: 12317-12337. DOI: 10.5194/Acp-11-12317-2011 |
0.336 |
|
| 2011 |
Sain SR, Furrer R, Cressie N. A spatial analysis of multivariate output from regional climate models Annals of Applied Statistics. 5: 150-175. DOI: 10.1214/10-Aoas369 |
0.392 |
|
| 2011 |
Kang EL, Cressie N. Bayesian inference for the spatial random effects model Journal of the American Statistical Association. 106: 972-983. DOI: 10.1198/Jasa.2011.Tm09680 |
0.497 |
|
| 2011 |
Katzfuss M, Cressie N. Spatio-temporal smoothing and EM estimation for massive remote-sensing data sets Journal of Time Series Analysis. 32: 430-446. DOI: 10.1111/J.1467-9892.2011.00732.X |
0.471 |
|
| 2011 |
Paul R, Cressie N. Lognormal block kriging for contaminated soil European Journal of Soil Science. 62: 337-345. DOI: 10.1111/J.1365-2389.2011.01371.X |
0.305 |
|
| 2011 |
Huang C, Hsing T, Cressie N. Nonparametric estimation of the variogram and its spectrum Biometrika. 98: 775-789. DOI: 10.1093/Biomet/Asr056 |
0.398 |
|
| 2011 |
Braverman A, Cressie N, Teixeira J. A likelihood-based comparison of temporal models for physical processes Statistical Analysis and Data Mining. 4: 247-258. DOI: 10.1002/Sam.10113 |
0.425 |
|
| 2011 |
Cressie N. Discussion on "Spatial prediction in the presence of positional error" Environmetrics. 22: 125-126. DOI: 10.1002/Env.1075 |
0.32 |
|
| 2010 |
Cressie N, Shi T, Kang EL. Fixed rank filtering for spatio-temporal data Journal of Computational and Graphical Statistics. 19: 724-745. DOI: 10.1198/Jcgs.2010.09051 |
0.442 |
|
| 2010 |
Cressie N, Tingley MP. Comment: Hierarchical statistical modeling for paleoclimate reconstruction Journal of the American Statistical Association. 105: 895-900. DOI: 10.1198/Jasa.2010.Ap10318 |
0.331 |
|
| 2010 |
Cressie N, O'Donnell D. Comment: Statistical dependence in stream networks Journal of the American Statistical Association. 105: 18-21. DOI: 10.1198/Jasa.2009.Ap09530 |
0.36 |
|
| 2010 |
Ahlqvist O, Ban H, Cressie N, Shaw NZ. Statistical counterpoint: Knowledge discovery of choreographic information using spatio-temporal analysis and visualization Applied Geography. 30: 548-560. DOI: 10.1016/J.Apgeog.2010.03.006 |
0.357 |
|
| 2010 |
Kang EL, Cressie N, Shi T. Using temporal variability to improve spatial mapping with application to satellite data Canadian Journal of Statistics-Revue Canadienne De Statistique. 38: 271-289. DOI: 10.1002/Cjs.10063 |
0.36 |
|
| 2009 |
Cressie N, Calder CA, Clark JS, Ver Hoef JM, Wikle CK. Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling. Ecological Applications : a Publication of the Ecological Society of America. 19: 553-70. PMID 19425416 DOI: 10.1890/07-0744.1 |
0.418 |
|
| 2009 |
Craigmile PF, Calder CA, Li H, Paul R, Cressie N. Hierarchical model building, fitting, and checking: A behind-the-scenes look at a bayesian analysis of arsenic exposure pathways Bayesian Analysis. 4: 1-36. DOI: 10.1214/09-Ba401 |
0.336 |
|
| 2009 |
Kang EL, Liu D, Cressie N. Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models Computational Statistics and Data Analysis. 53: 3016-3032. DOI: 10.1016/J.Csda.2008.07.033 |
0.462 |
|
| 2009 |
Huang C, Yao Y, Cressie N, Hsing T. Multivariate intrinsic random functions for cokriging Mathematical Geosciences. 41: 887-904. DOI: 10.1007/S11004-009-9218-4 |
0.383 |
|
| 2008 |
Berliner LM, Jezek K, Cressie N, Kim Y, Lam CQ, Van Der Veen CJ. Modeling dynamic controls on ice streams: A Bayesian statistical approach Journal of Glaciology. 54: 705-714. DOI: 10.3189/002214308786570917 |
0.391 |
|
| 2008 |
Cressie N, Kapat P. Some diagnostics for Markov random fields Journal of Computational and Graphical Statistics. 17: 726-749. DOI: 10.1198/106186008X340760 |
0.371 |
|
| 2008 |
Cressie N, Johannesson G. Fixed rank kriging for very large spatial data sets Journal of the Royal Statistical Society. Series B: Statistical Methodology. 70: 209-226. DOI: 10.1111/j.1467-9868.2007.00633.x |
0.335 |
|
| 2008 |
Cressie N, Verzelen N. Conditional-mean least-squares fitting of Gaussian Markov random fields to Gaussian fields Computational Statistics and Data Analysis. 52: 2794-2807. DOI: 10.1016/J.Csda.2007.10.008 |
0.411 |
|
| 2007 |
Li H, Calder CA, Cressie N. Beyond Moran's I: Testing for spatial dependence based on the spatial autoregressive model Geographical Analysis. 39: 357-375. DOI: 10.1111/J.1538-4632.2007.00708.X |
0.48 |
|
| 2007 |
Shi T, Cressie N. Data mining of MISR aerosol product using spatial statistics Proceedings of the 2007 Ieee Symposium On Computational Intelligence and Data Mining, Cidm 2007. 712-719. DOI: 10.1109/CIDM.2007.368946 |
0.321 |
|
| 2007 |
Sain SR, Cressie N. A spatial model for multivariate lattice data Journal of Econometrics. 140: 226-259. DOI: 10.1016/j.jeconom.2006.09.010 |
0.314 |
|
| 2007 |
Johannesson G, Cressie N, Huang HC. Dynamic multi-resolution spatial models Environmental and Ecological Statistics. 14: 5-25. DOI: 10.1007/s10651-006-0005-9 |
0.334 |
|
| 2007 |
Shi T, Cressie N. Global statistical analysis of MISR aerosol data: A massive data product from NASA's Terra satellite Environmetrics. 18: 665-680. DOI: 10.1002/env.864 |
0.311 |
|
| 2006 |
Cressie N. Block kriging for lognormal spatial processes Mathematical Geology. 38: 413-443. DOI: 10.1007/s11004-005-9022-8 |
0.306 |
|
| 2005 |
Tzeng S, Huang HC, Cressie N. A fast, optimal spatial-prediction method for massive datasets Journal of the American Statistical Association. 100: 1343-1357. DOI: 10.1198/016214505000000420 |
0.319 |
|
| 2005 |
Shen XT, Huang HC, Cressie N. Erratum: Nonparametric hypothesis testing for a spatial signal (Journal of the American Statistical Association (2002) 97 (1122-1140)) Journal of the American Statistical Association. 100: 716-718. DOI: 10.1198/016214504000001862 |
0.333 |
|
| 2005 |
Cressie N, Perrin O, Thomas-Agnan C. Likelihood-based estimation for Gaussian MRFs Statistical Methodology. 2: 1-16. DOI: 10.1016/J.Stamet.2004.10.003 |
0.362 |
|
| 2004 |
Hoef JMV, Cressie N, Barry RP. Flexible spatial models for kriging and cokriging using moving averages and the fast Fourier Transform (FFT) Journal of Computational and Graphical Statistics. 13: 265-282. DOI: 10.1198/1061860043498 |
0.456 |
|
| 2004 |
Cressie N, Richardson S, Jaussent I. Ecological bias: Use of maximum-entropy approximations Australian and New Zealand Journal of Statistics. 46: 233-255. DOI: 10.1111/J.1467-842X.2004.00327.X |
0.341 |
|
| 2004 |
Johannesson G, Cressie N. Finding large-scale spatial trends in massive, global, environmental datasets Environmetrics. 15: 1-44. DOI: 10.1002/env.624 |
0.303 |
|
| 2003 |
Wright DL, Stern HS, Cressie N. Loss functions for estimation of extrema with an application to disease mapping Canadian Journal of Statistics. 31: 251-266. DOI: 10.2307/3316085 |
0.327 |
|
| 2003 |
Hrafnkelsson B, Cressie N. Hierarchical modeling of count data with application to nuclear fall-out Environmental and Ecological Statistics. 10: 179-200. DOI: 10.1023/A:1023674107629 |
0.458 |
|
| 2003 |
Aldworth J, Cressie N. Prediction of nonlinear spatial functionals Journal of Statistical Planning and Inference. 112: 3-41. DOI: 10.1016/S0378-3758(02)00321-X |
0.384 |
|
| 2002 |
Cressie N, Pavlicová M. Calibrated spatial moving average simulations Statistical Modelling. 2: 267-279. DOI: 10.1191/1471082X02St035Oa |
0.405 |
|
| 2002 |
Zhu J, Lahiri SN, Cressie N. Asymptotic inference for spatial CDFS over time Statistica Sinica. 12: 843-861. |
0.334 |
|
| 2002 |
Kaiser MS, Cressie N, Lee J. Spatial mixture models based on exponential family conditional distributions Statistica Sinica. 12: 449-474. |
0.363 |
|
| 2001 |
Cressie N, Collins LB. Analysis of spatial point patterns using bundles of product density LISA functions Journal of Agricultural, Biological, and Environmental Statistics. 6: 118-132. DOI: 10.1198/108571101300325292 |
0.362 |
|
| 2001 |
Wendt DA, Cressie N, Johannesson G. A spatial-temporal statistical approach to command and control problems in battle-space digitization Proceedings of Spie - the International Society For Optical Engineering. 4396: 232-243. DOI: 10.1117/12.438321 |
0.302 |
|
| 2001 |
Lee J, Kaiser MS, Cressie N. Multiway dependence in exponential family conditional distributions Journal of Multivariate Analysis. 79: 171-190. DOI: 10.1006/Jmva.2000.1966 |
0.38 |
|
| 2001 |
Cressie N, Collins LB. Patterns in spatial point locations: Local indicators of spatial association in a minefield with clutter Naval Research Logistics. 48: 333-347. DOI: 10.1002/Nav.1022 |
0.389 |
|
| 2000 |
Stern HS, Cressie N. Posterior predictive model checks for disease mapping models Statistics in Medicine. 19: 2377-2397. PMID 10960860 DOI: 10.1002/1097-0258(20000915/30)19:17/18<2377::Aid-Sim576>3.0.Co;2-1 |
0.384 |
|
| 2000 |
Cressie N, Lawson AB. Hierarchical probability models and Bayesian analysis of mine locations Advances in Applied Probability. 32: 315-330. DOI: 10.1239/Aap/1013540165 |
0.401 |
|
| 2000 |
Berliner LM, Wikle CK, Cressie N. Long-lead prediction of Pacific SSTs via Bayesian dynamic modeling Journal of Climate. 13: 3953-3968. DOI: 10.1175/1520-0442(2001)013<3953:Llpops>2.0.Co;2 |
0.373 |
|
| 2000 |
Lawson AB, Cressie N. 11 Spatial statistical methods for environmental epidemiology Handbook of Statistics. 18: 357-396. DOI: 10.1016/S0169-7161(00)18013-7 |
0.374 |
|
| 2000 |
Cressie N, Stern HS, Wright DR. Mapping rates associated with polygons Journal of Geographical Systems. 2: 61-69. DOI: 10.1007/S101090050031 |
0.353 |
|
| 2000 |
Kaiser MS, Cressie N. The Construction of Multivariate Distributions from Markov Random Fields Journal of Multivariate Analysis. 73: 199-220. DOI: 10.1006/Jmva.1999.1878 |
0.343 |
|
| 1999 |
Lahiri SN, Kaiser MS, Cressie N, Hsu N. Prediction of Spatial Cumulative Distribution Functions Using Subsampling: Rejoinder Journal of the American Statistical Association. 94: 107. DOI: 10.2307/2669686 |
0.364 |
|
| 1999 |
Lahiri SN, Kaiser MS, Cressie N, Hsu NJ. Prediction of Spatial Cumulative Distribution Functions Using Subsampling Journal of the American Statistical Association. 94: 86-97. DOI: 10.1080/01621459.1999.10473821 |
0.442 |
|
| 1999 |
Davidson JL, Cressie N, Hua X. Texture synthesis and pattern recognition for partially ordered Markov models Pattern Recognition. 32: 1475-1505. DOI: 10.1016/S0031-3203(99)00016-3 |
0.427 |
|
| 1999 |
Cressie N, Aldworth J. Spatial statistical analysis and its consequences for spatial sampling Geostatistics Wollongong 96 - Proceedings of the Fifth International Geostatistics Congress, Wollongong, Australia, September 1996. 126-137. |
0.308 |
|
| 1998 |
Wikle CK, Berliner LM, Cressie N. Hierarchical Bayesian space-time models Environmental and Ecological Statistics. 5: 117-154. DOI: 10.1023/A:1009662704779 |
0.306 |
|
| 1998 |
Cressie N, Davidson JL. Image analysis with partially ordered Markov models Computational Statistics and Data Analysis. 29: 1-26. DOI: 10.1016/S0167-9473(98)00052-8 |
0.406 |
|
| 1997 |
Cressie N, Majure JJ. Spatio-Temporal Statistical Modeling of Livestock Waste in Streams Journal of Agricultural, Biological, and Environmental Statistics. 2: 24-47. DOI: 10.2307/1400639 |
0.338 |
|
| 1997 |
Cressie N. Jackknifing in the presence of inhomogeneity Technometrics. 39: 45-51. DOI: 10.2307/1270771 |
0.384 |
|
| 1997 |
Kaiser MS, Cressie N. Modeling Poisson variables with positive spatial dependence Statistics and Probability Letters. 35: 423-432. DOI: 10.1016/S0167-7152(97)00041-2 |
0.418 |
|
| 1997 |
Carroll SS, Cressie N. Spatial modeling of snow water equivalent using covariances estimated from spatial and geomorphic attributes Journal of Hydrology. 190: 42-59. DOI: 10.1016/S0022-1694(96)03062-4 |
0.376 |
|
| 1997 |
Kaiser MS, Hsu NJ, Cressie N, Lahiri SN. Inference for spatial processes using subsampling: A simulation study Environmetrics. 8: 485-502. DOI: 10.1002/(Sici)1099-095X(199709/10)8:5<485::Aid-Env271>3.0.Co;2-3 |
0.44 |
|
| 1997 |
Majure JJ, Cressie N. Dynamic graphics for exploring spatial dependence in multivariate spatial data Geographical Systems. 4: 131-158. |
0.306 |
|
| 1997 |
Ver Hoef JM, Cressie N. Using hidden Markov chains and empirical Bayes change-point estimation for transect data Environmental and Ecological Statistics. 4: 247-264. |
0.34 |
|
| 1996 |
Cressie N, Hartfield MN. Conditionally specified gaussian models for spatial statistical analysis of field trials Journal of Agricultural, Biological, and Environmental Statistics. 1: 60-77. DOI: 10.2307/1400560 |
0.433 |
|
| 1996 |
Carroll SS, Cressie N. A comparison of geostatistical methodologies used to estimate snow water equivalent Water Resources Bulletin. 32: 267-278. DOI: 10.1111/J.1752-1688.1996.Tb03450.X |
0.311 |
|
| 1996 |
Cressie N, Lahiri SN. Asymptotics for REML estimation of spatial covariance parameters Journal of Statistical Planning and Inference. 50: 327-341. DOI: 10.1016/0378-3758(95)00061-5 |
0.417 |
|
| 1996 |
Huang HC, Cressie N. Spatio-temporal prediction of snow water equivalent using the Kalman filter Computational Statistics and Data Analysis. 22: 159-175. DOI: 10.1016/0167-9473(95)00047-X |
0.345 |
|
| 1995 |
Grondona MO, Cressie N. Residuals Based Estimators of the Covariogram Statistics. 26: 209-218. DOI: 10.1080/02331889508802490 |
0.309 |
|
| 1995 |
Carroll SS, Day GN, Cressie N, Carroll TR. Spatial modelling of snow water equivalent using airborne and ground- based snow data Environmetrics. 6: 127-139. DOI: 10.1002/Env.3170060204 |
0.408 |
|
| 1994 |
Helterbrand JD, Cressie N. Universal cokriging under intrinsic coregionalization Mathematical Geology. 26: 205-226. DOI: 10.1007/Bf02082764 |
0.359 |
|
| 1994 |
Ver Hoef JM, Cressie N. Multivariable spatial prediction Mathematical Geology. 26: 273-275. DOI: 10.1007/Bf00893273 |
0.381 |
|
| 1994 |
Cressie N, Helterbrand JD. Multivariate spatial statistical models Geographical Systems. 1: 179-188. |
0.347 |
|
| 1993 |
Lawson A, Cressie N. Statistics for Spatial Data. The Statistician. 42: 73-73. DOI: 10.2307/2348117 |
0.42 |
|
| 1993 |
Cressie N, Morgan PB. The VPRT: A sequential testing procedure dominating the SPRT Econometric Theory. 9: 431-450. DOI: 10.1017/S0266466600007751 |
0.314 |
|
| 1993 |
Cressie N, Lahiri SN. The Asymptotic Distribution of REML Estimators Journal of Multivariate Analysis. 45: 217-233. DOI: 10.1006/Jmva.1993.1034 |
0.399 |
|
| 1993 |
Gotway CA, Cressie N. Improved Multivariate Prediction under a General Linear Model Journal of Multivariate Analysis. 45: 56-72. DOI: 10.1006/Jmva.1993.1026 |
0.337 |
|
| 1993 |
Van Hoef JM, Cressie NAC, Glenn-Lewin DC. Spatial models for spatial statistics: some unification Journal of Vegetation Science. 4: 441-452. |
0.387 |
|
| 1992 |
Cormack RM, Cressie N. Statistics for Spatial Data. Biometrics. 48: 1300. DOI: 10.2307/2532724 |
0.42 |
|
| 1992 |
Cressie N, Zimmerman DL. On the stability of the geostatistical method Mathematical Geology. 24: 45-59. DOI: 10.1007/Bf00890087 |
0.461 |
|
| 1992 |
Zimmerman DL, Cressie N. Mean squared prediction error in the spatial linear model with estimated covariance parameters Annals of the Institute of Statistical Mathematics. 44: 27-43. DOI: 10.1007/Bf00048668 |
0.43 |
|
| 1991 |
Grondona MO, Cressie N. Using spatial considerations in the analysis of experiments Technometrics. 33: 381-392. DOI: 10.2307/1269411 |
0.433 |
|
| 1990 |
Gotway CA, Cressie NAC. A Spatial Analysis of Variance Applied to Soil‐Water Infiltration Water Resources Research. 26: 2695-2703. DOI: 10.1029/WR026i011p02695 |
0.334 |
|
| 1990 |
Cressie N, Gotway CA, Grondona MO. Spatial prediction from networks Chemometrics and Intelligent Laboratory Systems. 7: 251-271. DOI: 10.1016/0169-7439(90)80115-M |
0.393 |
|
| 1989 |
Cressie N, Read TRC. Pearsons-X2 and the loglikelihood ratio statistic-G2: a comparative review International Statistical Review. 57: 19-43. DOI: 10.2307/1403582 |
0.349 |
|
| 1989 |
Cressie N, Chan NH. Spatial modeling of regional variables Journal of the American Statistical Association. 84: 393-401. DOI: 10.1080/01621459.1989.10478783 |
0.44 |
|
| 1989 |
Cressie N, Read TRC. Spatial data-analysis of regional counts Biometrical Journal. 31: 699-719. DOI: 10.1002/Bimj.4710310607 |
0.425 |
|
| 1987 |
Cressie N, Laslett GM. Random set theory and problems of modeling Siam Review. 29: 557-574. DOI: 10.1137/1029111 |
0.356 |
|
| 1986 |
Cressie N. Kriging nonstationary data Journal of the American Statistical Association. 81: 625-634. DOI: 10.1080/01621459.1986.10478315 |
0.349 |
|
| 1986 |
Hamlett JM, Horton R, Cressie NAC. Resistant and exploratory techniques for use in semivariogram analyses Soil Science Society of America Journal. 50: 868-875. |
0.322 |
|
| 1985 |
Cressie N, Seheult A. Empirical Bayes estimation in sampling inspection Biometrika. 72: 451-458. DOI: 10.1093/Biomet/72.2.451 |
0.377 |
|
| 1984 |
Cressie N, Glonek G. Median based covariogram estimators reduce bias Statistics and Probability Letters. 2: 299-304. DOI: 10.1016/0167-7152(84)90069-5 |
0.343 |
|
| 1984 |
Hawkins DM, Cressie N. Robust kriging-A proposal Journal of the International Association For Mathematical Geology. 16: 3-18. DOI: 10.1007/Bf01036237 |
0.387 |
|
| 1983 |
Cressie N, Holland PW. Characterizing the manifest probabilities of latent trait models Psychometrika. 48: 129-141. DOI: 10.1007/Bf02314681 |
0.361 |
|
| 1980 |
Cressie N, Hawkins DM. Robust estimation of the variogram: I Journal of the International Association For Mathematical Geology. 12: 115-125. DOI: 10.1007/Bf01035243 |
0.338 |
|
| 1977 |
Cressie N. On Some Properties Of The Scan Statistic On The Circle And The Line Journal of Applied Probability. 14: 272-283. DOI: 10.1017/S0021900200104954 |
0.352 |
|
| 1971 |
Lord FM, Cressie N. An Empirical Bayes Procedure For Finding An Interval Estimate Psychometrika. 1971. DOI: 10.1002/J.2333-8504.1971.Tb00619.X |
0.335 |
|
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