Statistical advances in environmental science

Statistical Science

Volumn 13, Issue 2, 1998, Pages 186-208

  Piegorsch, Walter W ^a   Smith, Eric P ^b   Edwards, Don ^a   Smith, Richard L ^c  

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

^b VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^c University of North Carolina at Chapel Hill   (United States)

Author keywords

Biometry; Combining environmental information; Detection limits; Ecological statistics; Environmental health; Environmental statistics; Environmetrics; Exceedance over threshold; Extreme value analysis; Hierarchical bayesian methods; Hot spots; Interdisciplinary collaboration; Meta analysis; Model selection; Quantitative risk assessment; Rare events; Risk analysis; Space time sampling; Spatial statistics; Stochastic modeling; Time series; Trend analysis

Indexed keywords

EID: 0000798558     PISSN: 08834237     EISSN: None     Source Type: Journal    
DOI: 10.1214/ss/1028905935     Document Type: Article

References (133)

1. Akritas, M. G., Ruscitti, T. F. and Patil, G. P. (1994). Statistical analysis for censored environmental data. In Environmental Statistics. Handbook of Statistics (G. P. Patil and C. R. Rao, eds.) 12 221-242. North-Holland, Amsterdam.
2. Altman, N. S. (1990). Kernel smoothing of data with correlated errors. J. Amer. Statist. Assoc. 85 749-759.
3. Anderson, C. W. (1994). The aggregate excess measure of severity of extreme events. Journal of Research of the National Institute of Standards and Technology 99 555-592.
4. Anderson, C. W. and Nadarajah, S. (1993). Environmental factors affecting reservoir safety. in Statistics for the Environment (V. Barnett and K. F. Turkman, eds.) 163-182. Wiley, New York.
5. Anderson, D. R., White, G. and Burnham, K. P. (1995). Some specialized risk assessment methodologies for vertebrate populations. Environmental and Ecological Statistics 2 91-115.
6. Armitage, P. and Doll, R. (1954). The age distribution of cancer and a multi-stage theory of carcinogenesis. British Journal of Cancer 8 1-12.
7. ACS Committee on Environmental Improvement (1980). Principles of environmental analysis. Analytical Chemistry 55 2242-2249.
8. Bailar, J. C. (1988). Foreword: the ninth symposium on statistics and the environment. Statist. Sci. 3 274.
9. Bailer, A. J. and Portier, C. J. (1994). Modeling risks from water contaminants: the application of concentration-response models. In Water Contamination and Health: Integration of Exposure Assessment, Toxicology, and Risk Assessment (G. Rhoda and M. Wang, eds.) 447-466. Dekker, New York.
10. Barnett, V. and Turkman, K. F. (1993). Statistics for the Environment. Wiley, New York.
11. Barnett, V. and Turkman, K. F. (1994). Statistics for the Environment 2: Water Related Issues. Wiley, New York.
12. Barnett, V. and Turkman, K. F. (1997). Statistics for the Environment 3: Pollution Assessment and Control. Wiley, New York.
13. Bloomfield, P. (1992). Trends in global temperatures. Climatic Change 21 1-16.
14. Bloomfield, P. and Nychka, D. (1992). Climate spectra and detecting climate change. Climatic Change 21 275-288.
15. Bloomfield, P., Oehlert, G., Thompson, M. L. and Zeger, S. (1983). A frequency domain analysis of trends in Dobson total ozone records. Journal of Geophysics Research 88 8512-8522.
16. Brown, P. J., Le, N. D. and Zidek, J. V. (1994). Multivariate spatial interpolation and exposure to air pollutants. Canad. J. Statist. 22 489-505.
17. Buishand, T. A. (1993). Rainfall depth-duration frequency curves: a problem of dependent extremes. In Statistics for the Environment (V. Barnett and K. F. Turkman, eds.) 183-197. Wiley, New York.
18. Cicmanec, J. L., Dourson, M. L. and Hertzberg, R. C. (1996). Noncancer risk assessment: present and emerging issues. in Toxicology and Risk Assessment. Principles, Methods, and Applications (A. M. Fan and L. W. Chang, eds.) 293-312. Dekker, New York.
19. Cliff, A. D., Haggett, P., Ord, J. K., Bassett, K. A. and Davies, R. B. (1975). Elements of Spatial Structure,: A Quantitative Approach. Cambridge univ. Press.
20. Coles, S. G. (1994). A temporal study of extreme rainfall. In Statistics for the Environment 2. Water Related Issues (V. Barnett and K. F. Turkman, eds.) 61-78. Wiley, New York.
21. Coles, S. G. and Tawn, J. A. (1994). Statistical methods for multivariate extremes: an application to structural design (with discussion). J. Roy. Statist. Soc. Ser. C 43 1-48.
22. Consonni, G. and Veronese, P. (1995). A Bayesian method for combining results from several binomial experiments. J. Amer. Statist. Assoc. 90 935-944.
23. Cothern, C. R. and Ross, N. P. (1994). Environmental Statistics, Assessment, and Forecasting. Lewis, Boca Raton, FL.
24. Cressie, N. A. C. (1993). Statistics for Spatial Data. Wiley, New York.
25. Crump, K. and Howe, R. (1985). A review of methods for calculating confidence limits in low dose extrapolation. in Toxico-logical Risk Assessment 1. Biological and Statistical Criteria (D. B. Clayson, D. Krewski and I. Munro, eds.) 187-203. CRC Press, Boca Raton, FL.
26. Currie, L. A. (1968). Limits for qualitative detection and quantitative determination: application to radiochemistry. Analytical Chemistry 40 586-593.
27. Davis, C. B. (1994). Environmental regulatory statistics. In Environmental Statistics (G. P. Patil and C. R. Rao, eds.) Handbook of Statistics 12 817-865. North-Holland, Amsterdam.
28. Davison, A. C. and Smith, R. L. (1990). Models for exceedances over high thresholds (with discussion). J. Roy. Statist. Soc. Ser. B 52 393-442.
29. Diggle, P. J. (1990). A point process modelling approach to raised incidence of a rare phenomenon in the vicinity of a prespecified point. J. Roy. Statist. Soc. Ser. A 153 349-362.
30. Diggle, P. J. and Rowlingson, B. S. (1994). A conditional approach to point process modelling of elevated risk. J. Roy. Statist. Soc. Ser. A 157 433-440.
31. Diggle, P. J., Morris, S., Elliot, P. and Shaddick, G. (1997). Regression modelling of disease risk in relation to point sources. J. Roy. Statist. Soc. Ser. A 160 491-505.
32. Dixon, M. J. and Tawn, J. A. (1994). Extreme sea levels: modelling interaction between tide and surge. in Statistics for the Environment 2: Water Related Issues (V. Barnett and K. F. Turkman, eds.) 221-232. Wiley, New York.
33. Dominici, F., Parmigiani, G., Reckhow, K. H. and Wolpert, R. L. (1997). Combining information from related regressions. Journal of Agricultural, Biological, and Environmental Statistics 2 313-332.
34. DuMouchel, W. (1994). Hierarchical Bayes linear models for meta-analysis. Technical Report 27, National Institute of Statistical Sciences, Research Triangle Park, NC.
35. DuMouchel, W. M. and Harris, J. E. (1983). Bayes methods for combining the results of cancer studies in humans and other species (with discussion). J. Amer. Statist. Assoc. 77 293-313.
36. Duncan, G. and Kalton, G. (1987). Issues of design and analysis of surveys across time. International Statistical Review 55 97-117.
37. Egbert, G. D. and Lettenmeier, D. P. (1986). Stochastic modeling of the space-time structure of atmospheric chemical deposition. Water Resources Research 14 135-143.
38. Elliot, P., Martuzzi, M. and Shaddick, G. (1995). Spatial statistical methods in environmental epidemiology: a critique. Statistical Methods in Medical Research 4 137-159.
39. El-Shaarawi, A. and Naderi, A. (1991). Statistical inference from multiply censored environmental data. Environmental Monitoring and Assessment 17 339-347.
40. Esterby, S. R. (1996). Review of methods for the detection and estimation of trends with emphasis on water quality applications. Hydrological Processes 10 127-150.
41. Eynon, B. P. (1988). Statistical analysis of precipitation chemistry measurements over the eastern United States. Part II: Kriging analysis of regional patterns and trends. Journal of Applied Meteorology 27 1334-1343.
42. Eynon, B. P. and Switzer, P. (1983). The variability of rainfall activity. Canad. J. Statist. 11 11-24.
43. Fisher, R. A. (1948). Combining independent tests of significance. Amer. Statist. 2 30.
44. ). Statist. Sci. 3 3-56.
45. Gibbons, R. D. (1994). Statistical Methods for Groundwater Monitoring. Wiley, New York.
46. Gibbons, R. D. (1996). Some conceptual and statistical issues in analysis of groundwater monitoring data. Environmetrics 7 185-199.
47. Gomes, M. I. (1993). On the estimation of parameters of rare events in environmental time series. in Statistics for the Environment (V. Barnett and K. F. Turkman, eds.) 225-241. Wiley, New York.
48. Gumbel, E. J. (1958). Statistics of Extremes. Columbia Univ. Press.
49. Günther, O. (1997). Environmental Information Systems. Springer, New York.
50. Güttorp, P., Meiring, W. and Sampson, P. D. (1994). A spacetime analysis of ground-level ozone. Environmetrics 5 241-254.
51. Güttorp, P. and Sampson, P. D. (1994). Methods for estimating heterogeneous spatial covariance functions with environmental applications. In Environmental Statistics (G. P. Patil and C. R. Rao, eds.) Handbook of Statistics 12 661-690. North-Holland, Amsterdam.
52. Güttorp, P., Sampson, P. D. and Newman, K. (1992). Nonpara-metric estimation of spatial covariance with application to monitoring network evaluation. In Statistics in the Environmental and Earth Sciences (A. T. Walden and P. Guttorp, eds.) 39-57. Arnold, London.
53. Haas, T. C. (1995). Local prediction of a spatio-temporal process with an application to wet sulfate deposition. J. Amer. Statist. Assoc. 90 1189-1199.
54. Hallenbeck, W. H. (1993). Quantitative Risk Assessment for Environmental and Occupational Health. CRC Press, Boca Raton, FL.
55. Handcock, M. S. and Wallis, J. R. (1994). An approach to statistical spatial-temporal modeling of meteorological fields (with discussion). J. Amer. Statist. Assoc. 89 368-390.
56. Haseman, J. K. (1984). Statistical issues in the design, analysis and interpretation of animal carcinogenicity studies. Environmental Health Perspectives 58 385-392.
57. Hasselblad, V. (1994). Meta-analysis in environmental statistics. In Environmental Statistics (G. P. Patil and C. R. Rao, eds.) Handbook of Statistics 12 691-716. North-Holland, Amsterdam.
58. Hedges, L. V. and Olkin, I. (1985). Statistical Methods for Meta-Analysis. Academic Press, New York.
59. Hegerl, G., von Storch, H., Hasselmann, K., Santer, B. D., Cübasch, ü. and Jones, P. D. (1996). Detecting greenhouse-gas-induced climate change with an optimal fingerprint method. Journal of Climate 9 2281-2306.
60. Helsel, D. R. and Hirsch, R. M. (1992). Statistical Methods in Water Resources. North-Holland, Amsterdam.
61. Hewitt, C. N. (1992). Methods of Environmental Data Analysis. North Holland, Amsterdam.
62. Hoel, D. G. (1985). Mathematical dose-response models and their application to risk estimation. in Methods for Estimating Risk of Chemical Injury: Human and Non-Human Biota and Ecosystems (V. B. Vouk, G. C. Butler, D. G. Hoel and D. B. Peakall, eds.) 347-359. Wiley, New York.
63. Host, G., Omre, H. and Switzer, P. (1995). Spatial interpolation errors for monitoring data. J. Amer. Statist. Assoc. 90 853-861.
64. Hsing, T., Hüsler, J. and Leadbetter, M. R. (1988). On the exceedance point process for a stationary sequence. Probab. Theory Related Fields 78 97-112.
65. Hünter, J. S. (1994). Environmetrics: an emerging science. In Environmental Statistics (G. P. Patil and C. R. Rao, eds.) Handbook of Statistics 12 1-7. North-Holland, Amsterdam.
66. Klemes, V. (1994). Statistics and probability: wrong remedies for a confused hydrologic modeler. in Statistics for the Environment 2. Water Related Issues (V. Barnett and K. F. Turkman, eds.) 345-367. Wiley, New York.
67. Kodell, R. L. and Park, C. N. (1995). Linear extrapolation in cancer risk assessment. In Low-Dose Extrapolation of Cancer Risks: Issues and Perspectives (S. Olin, W. Farland, C. Park, L. Rhomberg, R. Scheuplein, T. Starr and J. Wilson, eds.) 87-104. ILSI Press, Washington, DC.
68. Krewski, D. and Brown, C. (1981). Carcinogenic risk assessment: a guide to the literature. Biometrics 37 353-366.
69. Lambert, D., Peterson, B. and Terpenning, I. (1991). Nonde-tects, detection limits, and the probability of detection. J. Amer. Statist. Assoc. 86 266-277.
70. Le, N. D., Sun, W. and Zidek, J. V. (1997). Bayesian multivariate spatial interpolation with data missing by design. J. Roy. Statist. Soc. Ser. B 59 501-510.
71. Le, N. D. and Zidek, J. V. (1992). Interpolation with uncertain spatial covariance: a Bayesian alternative to kriging. J. Multivariate Anal. 43 351-374.
72. Leadbetter, M. R. (1983). Extremes and local dependence in stationary sequences. Z. Wahrsch. Verw. Gebiete 65 291-306.
73. Leadbetter, M. R., Lindgren, G. and Rootzen, H. (1983). Extremes and Related Properties of Random Sequences and Series. Springer, New York.
74. Leslie, P. H. (1945). On the use of matrices in certain population mathematics. Biometrika 33 183-212.
75. Lindgren, G., Zetterqvist, I. and Holmstedt, G. (1993). Estimation of quantiles in airborne pollution: measuring pollution around gas furnaces. in Statistics for the Environment (V. Barnett and K. F. Turkman, eds.) 111-122. Wiley, New York.
76. Little, M. P. (1995). Are two mutations sufficient to cause cancer? Some generalizations of the two-mutation model of carcinogenesis of Moolgavkar, Venzon, and Knudson, and of the multistage model of Armitage and Doll. Biometrics 51 1278-1291.
77. Loader, C. and Switzer, P. (1992). Spatial covariance estimation for monitoring data. in Statistics in the Environmental and Earth Sciences (A. T. Walden and P. Guttorp, eds.) 52-70. Halsted Press, New York.
78. Luebeck, E. G. and Moolgavkar, S. H. (1996). Biologically based cancer modeling. In Toxicology and Risk Assessment. Principles, Methods, and Applications (A. M. Fan and L. W. Chang, eds.) 533-555. Dekker, New York.
79. Mathew, T., Sinha, B. K. and Zhou, L. (1993). Some statistical procedures for combining independent tests. J. Amer. Statist. Assoc. 88 912-919.
80. McCready, M., Patel, S. and Rennolls, K. (1997). An investigation of the effect of road traffic pollution on asthma, using geographical information systems. in Statistics for the Environment 3: Pollution Assessment and Control (V. Barnett and K. F. Turkmn, eds.) 287-299. Wiley, New York.
81. Meiring, W., Monestiez, p., Sampson, P. D. and Guttorp, P. (1997). Developments in the modelling of nonstationary spatial covariance structure from space-time monitoring data. In Geostatistics Wollongong’96 (E. Y. Baafi and N. Schofield, eds.) 1 162-173. Kluwer, Dordrecht.
82. Meng, Z., Dabdub, D. and Seinfeld, J. H. (1997). Chemical coupling between atmospheric ozone and particulate matter. Science 277 116-119.
83. Moolgavkar, S. H. and Venzon, D. J. (1979). Two-event models for carcinogenesis: incidence curves for childhood and adult tumors. Mathematical Biosciences 47 55-77.
84. Niu, X. and Tiao, G. C. (1995). Modeling satellite ozone data. J. Amer. Statist. Assoc. 90 969-983.
85. Oehlert, G. W. (1993). Regional trends in sulfate wet deposition. J. Amer. Statist. Assoc. 88 390-399.
86. Olkin, I., Sacks, J., Blumstein, A., Eddy, A., Eddy, W., Jurs, p., Kruskal, W., Kurtz, T., McDonald, G. C., Peierls, R., Shaman, P. and Spurgeon, W. (1990). Cross-disciplinary research in the statistical sciences. Statist. Sci. 5 121-146.
87. Ott, W. R. (1995). Environmental Statistics and Data Analysis. CRC Press, Boca Raton, FL.
88. Patil, G. P. and Rao, C. R. (1994). Environmental Statistics. Handbook of Statistics 12 North-Holland, Amsterdam.
89. Pearson, J. C. G. and Turton, A. (1993). Statistical Methods in Environmental Health. Chapman and Hall, New York.
90. Pickands, J. (1975). Statistical inference using extreme order statistics. Ann. Statist. 3 119-131.
91. Piegorsch, W. W. and Cox, L. H. (1996). Combining environmental information II: Environmental epidemiology and toxicology. Environmetrics 7 309-324.
92. Portier, C. J. (1989). Quantitative risk assessment. In Carcinogenicity and Pesticides. Principles, Issues, and Relationships (N. N. Ragsdale and R. E. Menzer, eds.) 164-174. American Chemical Society, Washington, DC.
93. Portier, C. J. and Kopp-Schneider, A. (1991). A multistage model of carcinogenesis incorporating DNA damage and repair. Risk Analysis 11 535-543.
94. Redmond, C. K. (1991). Introduction: methods for environmental risk assessment. Environmental Health Perspectives 90 157.
95. Reed, D. W. and Stewart, E. J. (1994). Inter-site and interduration dependence on rainfall extremes. In Statistics for the Environment 2. Water Related Issues (V. Barnett and K. F. Turkman, eds.) 125-146. Wiley, New York.
96. Resnick, S. (1987). Extreme Values, Point Processes and Regular Variation. Springer, New York.
97. Rivoirard, J. (1994). Introduction to Disjunctive Kriging and Non-linear Geostatistics. Oxford Univ. Press.
98. Samet, J. M., Zeger, S. L. and Berhane, K. (1995). The association of mortality and particulate air pollution. in Particulate Air Pollution and Daily Mortality: Replication and Validation of Selected Studies. The Phase I Report of the Particle Epidemiology Evaluation Project 1-104. Health Effects Institute, Cambridge, MA.
99. Samet, J. M., Zeger, S. L., Kelsall, J. E. and Xu, J. (1997). Air pollution, weather and mortality in Philadelphia, 19731988. in Particulate Air Pollution and Daily Mortality: Analyses of the Effects of Weather and Multiple Air Pollutants. The Phase IB Report of the Particle Epidemiology Evaluation Project 1-29. Health Effects Institute, Cambridge, MA.
100. Sampson, P. D. and Guttorp, P. (1992). Nonparametric estimation of nonstationary spatial covariance structure. J. Amer. Statist. Assoc. 87 108-119.
101. Santer, B. D., Taylor, K. E., Wigley, T. M. L., Johns, T. C., Jones, P. D., Karoly, D. J., Mitchell, J. F. B., Oort, A. H., Penner, J. E., Ramaswamy, V., Schwarzkopf, M. D., Stouf-fer, R. J. and Tett, S. (1996). A search for human influences on the thermal structure of the atmosphere. Nature 382 39-46.
102. Scheiner, S. M. and Gurevitch, J. (1993). The Design and Analysis of Ecological Experiments. Chapman & Hall, New York.
103. Schoenfeld, D. A. (1986). Confidence bounds for normal means under order restrictions, with application to dose-response curves, toxicology experiments, and low-dose extrapolation. J. Amer. Statist. Assoc. 81 186-195.
104. Schwartz, J. (1993). Air pollution and daily mortality in Birmingham, Alabama. American Journal of Epidemiology 137 1136-1147.
105. Schwartz, J. and Marcus, A. (1990). Mortality and air pollution in London: a time series analysis. American Journal of Epidemiology 131 185-194.
106. Seber, G. A. F. and Thompson, S. K. (1994). Environmental adaptive sampling. In Environmental Statistics (G. P. Patil and C. R. Rao, eds.) Handbook of Statistics 12 201-220. North-Holland, Amsterdam.
107. Smith, R. L. (1987). Estimating the tails of probability distributions. Ann. Statist. 15 1174-1207.
108. Smith, R. L. (1989). Extreme value analysis of environmental time series: an application to trend detection in ground-level ozone. Statist. Sci. 4 367-393.
109. Smith, R. L. (1993). Long-range dependence and global warming. In Statistics for the Environment (V. Barnett and K. F. Turkman, eds.) 141-161. Wiley, New York.
110. Smith, R. L. and Chen, F.-L. (1996). Regression in long-memory time series. in Time Series Analysis in Memory of E. J. Hanan (P. M. Robinson and M. Rosenblatt, eds.). Athens Conference on Applied Probability and Time Series 2 378-391. Springer, New York.
111. Smith, R. L., Davis, J. M., Sacks, J., Speckman, P. and Styer, P. E. (1997). Air pollution and daily mortality in Birmingham, Alabama: a reappraisal. Technical report, National Institute of Statistical Sciences. Research Triangle Park, NC.
112. Smith, R. L., Davis, J. M. and Speckman, P. (1998). Assessing the human health risk of environmental particulates. in Statistics for the Environment 4 (V. Barnett, K. F. Turkman and A. Stein, eds.). Wiley, New York. (To appear.)
113. Smith, R. L. and Huang, L.-S. (1994). Modeling high threshold exceedances of urban ozone. Technical Report 6, National Institute of Statistical Sciences. Research Triangle Park, NC.
114. Smith, R. L. and Shively, T. S. (1995). A point process approach to modeling trends in tropospheric ozone. Atmospheric Environment 29 3489-3499.
115. Smith, R. L., Tawn, J. A. and Coles, S. G. (1997). Markov chain models for threshold exceedances. Biometrika 84 249-268.
116. Smith, R. L. and Weissman, I. (1994). Estimating the extremal index. J. Roy. Statist. Soc. Ser. B 56 515-528.
117. Solow, A. R. (1994). Statistical methods in atmospheric science. In Environmental Statistics (G. P. Patil and C. R. Rao, eds.). Handbook of Statistics 12 717-734. North-Holland, Amsterdam.
118. Solow, A. R. and Polasky, S. (1994). Measuring biological diversity (with discussion). Environmental and Ecological Statistics 1 95-107.
119. Speed, T. (1993). Modelling and managing a salmon population. In Statistics for the Environment (V. Barnett and K. F. Turkman, eds.) 267-292. Wiley, New York.
120. Stehman, S. V. and Overton, W. S. (1994). Environmental sampling and monitoring. In Environmental Statistics (G. P. Patil and C. R. Rao, eds.). Handbook of Statistics 12 263-306. North-Holland, Amsterdam.
121. Stone, R. A. (1988). Investigations of excess environmental risks around putative sources: statistical problems and a proposed test. Statistics in Medicine 7 649-660.
122. Styer, P. E., McMillan, N., Gao, F., Davis, J. and Sacks, J. (1995). Effect of outdoor airborne particulate matter on daily death counts. Environmental Health Perspectives 103 490-497.
123. Tawn, J. A. (1993). Extreme sea levels. In Statistics for the Environment (V. Barnett and K. F. Turkman, eds.) 243-263. Wiley, New York.
124. Tawn, J. A., Dixon, M. J. and Woodworth, P. L. (1994). Trends in sea levels. In Statistics for the Environment 2. Water Related Issues (V. Barnett and K. F. Turkman, eds.) 147-181. Wiley, New York.
125. Urquhardt, S., Overton, W. S. and Irkes, D. S. (1993). Comparing sampling designs for monitoring ecological status and trends: impact of temporal patterns. In Statistics for the Environment (V. Barnett and K. F. Turkman, eds.) 71-85. Wiley, New York.
126. van der Hoeven, N. (1997). How to measure no effect. Part III: Statistical aspects of NOEC, EC x and NEC estimates. En-vironmetrics 8 255-261.
127. van Leeuwen, D. M., Murray, L. W. and Urquhardt, N. S. (1996). A mixed model with both fixed and random trend components across time. Journal of Agricultural, Biological, and Environmental Statistics 1 435-453.
128. Vrijling, J. K. (1994). Sea-level rise: a potential threat. In Statistics for the Environment 2. Water Related Issues (V. Barnett and K. F. Turkman, eds.) 183-204. Wiley, New York.
129. Wahba, G. (1990). Spline Models for Observational Data. SIAM, Philadelphia.
130. Walden, A. T. and Guttorp, P. (1992). Statistics in the Environmental and Earth Sciences. Halsted Press, New York.
131. Warren-Hicks, W. J. and Wolpert, R. L. (1994). Predictive models of fish response to acidification: using Bayesian inference to combine laboratory and field measurements. In Environmental Statistics, Assessment, and Forecasting (C. R. Cothern and N. P. Ross, eds.) 99-112. Lewis, Boca Raton, FL.
132. Yajima, Y. (1991). On estimation of a regression model with long-memory stationary errors. Ann. Statist. 19 158-177.
133. Zidek, J. V. (1997). Interpolating air pollution for health impact assessment. In Statistics for the Environment 3. Pollution Assessment and Control (V. Barnett and K. F. Turkman, eds.) 251-268. Wiley, New York.