Authors: Oyetunde-Usman, Z., Shee, A., Abdoulaye, T.
Subject Terms: Climate-smart agriculture, Drought, Improved maize varieties, Manure, Multinomial endogenous switching regression, Multivalued inverse probability weighting regression adjustment, Organic fertiliser, Sub-saharan Africa
Relation: https://doi.org/10.1111/1467-8489.12550; Oyetunde-Usman, Z., Shee, A. and Abdoulaye, T. 2024. Does simultaneous adoption of drought-tolerant maize varieties and organic fertiliser affect productivity and welfare outcomes? Evidence from rural Nigeria. The Australian journal of agricultural resource economics. https://doi.org/10.1111/1467-8489.12550
Authors: Hassall, K. L., Dailey, A. G., Zawadzka, J., Milne, A. E., Harris, J. A., Corstanje, R., Whitmore, A. P.
Subject Terms: Bayes nets, Belief networks, Expert elicitation, Conditional probability tables
File Description: application/pdf
Relation: https://repository.rothamsted.ac.uk/download/e887d06f0ebd50f8008877783172042740f3217be41895f2e9c75a42ffd8c77b/4622634/Hassall-2019-Facilitating-the-elicitation-of-bel.pdf; https://doi.org/10.1016/j.envsoft.2019.104539; Hassall, K. L., Dailey, A. G., Zawadzka, J., Milne, A. E., Harris, J. A., Corstanje, R. and Whitmore, A. P. 2019. Facilitating the elicitation of beliefs for use in Bayesian Belief modelling. Environmental Modelling and Software. 122, p. 104539. https://doi.org/10.1016/j.envsoft.2019.104539
Availability:
https://doi.org/10.1016/j.envsoft.2019.104539
https://repository.rothamsted.ac.uk/item/8w8w4/facilitating-the-elicitation-of-beliefs-for-use-in-bayesian-belief-modelling
https://repository.rothamsted.ac.uk/download/e887d06f0ebd50f8008877783172042740f3217be41895f2e9c75a42ffd8c77b/4622634/Hassall-2019-Facilitating-the-elicitation-of-bel.pdf
Authors: Hassall, K. L.
Subject Terms: Expert elicitation, Conditional probability table, Bayesian belief network
Relation: https://doi.org/10.5281/zenodo.2563239; Hassall, K. L. 2019. ACE: Application for Conditional probability Elicitation. GitHub Rothamsted Research. https://doi.org/10.5281/zenodo.2563239
Availability:
https://doi.org/10.5281/zenodo.2563239
https://repository.rothamsted.ac.uk/item/8w916/ace-application-for-conditional-probability-elicitation
Authors: Chagumaira, C., Nalivata, P. C., Chimungu, J. G., Gashu, D., Broadley, M., Milne, A. E., Lark, R. M.
Subject Terms: Decision-making, Framing effect, Interpret probability, Values mean probability value, Uncertainty
File Description: application/pdf
Relation: https://repository.rothamsted.ac.uk/download/0c6b016e2170702ba68f1aa2f6d492140842ec3ea3dc81432b50e54a01cee2ad/3780607/Stakeholder%20interpretation%20of%20probabilistic%20representations%20of%20uncertainty%20in%20spatial%20information%20an%20example%20on%20the%20nutritional%20quality%20of%20staple.pdf; https://doi.org/10.1080/13658816.2021.2020278; Chagumaira, C., Nalivata, P. C., Chimungu, J. G., Gashu, D., Broadley, M., Milne, A. E. and Lark, R. M. 2022. Stakeholder interpretation of probabilistic representations of uncertainty in spatial information an example on the nutritional quality of staple. International Journal Of Geographical Information Science. 36 (12), pp. 2446-2472. https://doi.org/10.1080/13658816.2021.2020278
Availability:
https://doi.org/10.1080/13658816.2021.2020278
https://repository.rothamsted.ac.uk/item/98843/stakeholder-interpretation-of-probabilistic-representations-of-uncertainty-in-spatial-information-an-example-on-the-nutritional-quality-of-staple
https://repository.rothamsted.ac.uk/download/0c6b016e2170702ba68f1aa2f6d492140842ec3ea3dc81432b50e54a01cee2ad/3780607/Stakeholder%20interpretation%20of%20probabilistic%20representations%20of%20uncertainty%20in%20spatial%20information%20an%20example%20on%20the%20nutritional%20quality%20of%20staple.pdf
Authors: Oliver, M. A., Webster, R., McGrath, S. P.
Subject Terms: Environmental Sciences, Mathematics, Interdisciplinary Applications, Statistics & Probability
Relation: https://doi.org/10.1002/(SICI)1099-095X(199605)7:33.0.CO;2-V; Oliver, M. A., Webster, R. and McGrath, S. P. 1996. Disjunctive kriging for environmental management. Environmetrics. 7 (3), pp. 333-358. https://doi.org/10.1002/(SICI)1099-095X(199605)7:33.0.CO;2-V
Availability:
https://doi.org/10.1002/(SICI)1099-095X(199605)7:3<333::AID-ENV209>3.0.CO;2-V
https://repository.rothamsted.ac.uk/item/87640/disjunctive-kriging-for-environmental-management
Authors: Orton, T. G., Saby, N. P. A., Arrouays, D., Walter, C., Lemercier, B., Schvartz, C., Lark, R. M.
Subject Terms: Environmental Sciences, Mathematics, Statistics & Probability, Probability, Interdisciplinary applications
Relation: https://doi.org/10.1002/env.2136; Orton, T. G., Saby, N. P. A., Arrouays, D., Walter, C., Lemercier, B., Schvartz, C. and Lark, R. M. 2012. Spatial prediction of soil organic carbon from data in large and variable spatial supports. I. Inventory and mapping. Environmetrics. 23 (2), pp. 129-147. https://doi.org/10.1002/env.2136
Authors: Orton, T. G., Saby, N. P. A., Arrouays, D., Walter, C., Lemercier, B., Schvartz, C., Lark, R. M.
Subject Terms: Environmental Sciences, Mathematics, Interdisciplinary Applications, Statistics & Probability
Relation: https://doi.org/10.1002/env.2134; Orton, T. G., Saby, N. P. A., Arrouays, D., Walter, C., Lemercier, B., Schvartz, C. and Lark, R. M. 2012. Spatial prediction of soil organic carbon from data in large and variable spatial supports. II. Mapping temporal change. Environmetrics. 23 (2), pp. 148-161. https://doi.org/10.1002/env.2134
Authors: Dick, J., Andrews, C., Beaumont, D. A., Benham, S., Brooks, D. R., Corbett, S., Lloyd, D., Mcmillan, S., Monteith, D. T., Pilgrim, E. S., Rose, R., Scott, T., Scott, A., Smith, R. I., Taylor, C., Taylor, M., Turner, A., Watson, H.
Subject Terms: Environmental Sciences, Mathematics, Interdisciplinary Applications, Statistics & Probability
Relation: https://doi.org/10.1002/env.1069; Dick, J., Andrews, C., Beaumont, D. A., Benham, S., Brooks, D. R., Corbett, S., Lloyd, D., Mcmillan, S., Monteith, D. T., Pilgrim, E. S., Rose, R., Scott, T., Scott, A., Smith, R. I., Taylor, C., Taylor, M., Turner, A. and Watson, H. 2011. A comparison of ecosystem services delivered by 11 long-term monitoring sites in the UK environmental change network. Environmetrics. 22 (5), pp. 639-648. https://doi.org/10.1002/env.1069
Authors: Smith, A. B., Thompson, R., Butler, D. G., Cullis, B. R.
Subject Terms: Statistics & Probability
Relation: https://doi.org/10.1111/j.1467-9876.2010.00755.x; Smith, A. B., Thompson, R., Butler, D. G. and Cullis, B. R. 2011. The design and analysis of variety trials using mixtures of composite and individual plot samples. Journal of the Royal Statistical Society, Series C (Applied Statistics). 60 (3), pp. 437-455. https://doi.org/10.1111/j.1467-9876.2010.00755.x
Authors: Lark, R. M.
Subject Terms: Social Sciences, Mathematical Methods, Statistics & Probability
File Description: application/pdf
Relation: https://repository.rothamsted.ac.uk/download/fa289082d269df8f2fa3ef0f670a4a4fca7979ebedb30d57522aacb738074b4d/3512769/j.1467-985X.2010.00681_12.x.pdf; https://doi.org/10.1111/j.1467-985X.2010.00681_13.x; Lark, R. M. 2011. Statistical methods for estimating petroleum resources. Journal of the Royal Statistical Society, Series A (Statistics in Society). 174, pp. 513-513. https://doi.org/10.1111/j.1467-985X.2010.00681_13.x
Availability:
https://doi.org/10.1111/j.1467-985X.2010.00681_13.x
https://repository.rothamsted.ac.uk/item/8w847/statistical-methods-for-estimating-petroleum-resources
https://repository.rothamsted.ac.uk/download/fa289082d269df8f2fa3ef0f670a4a4fca7979ebedb30d57522aacb738074b4d/3512769/j.1467-985X.2010.00681_12.x.pdf
Authors: Welham, S. J., Gogel, B. J., Smith, A. B., Thompson, R., Cullis, B. R.
Subject Terms: Statistics & Probability
Relation: https://doi.org/10.1111/j.1467-842X.2010.00570.x; Welham, S. J., Gogel, B. J., Smith, A. B., Thompson, R. and Cullis, B. R. 2010. A comparison of analysis methods for late-stage variety evaluation trials. Australian & New Zealand Journal of Statistics. 52 (2), pp. 125-149. https://doi.org/10.1111/j.1467-842X.2010.00570.x
Authors: Lark, R. M.
Subject Terms: Social Sciences, Mathematical Methods, Statistics & Probability
Relation: Lark, R. M. 2008. Compositional data analysis in the geosciences: From theory to practice. Journal of the Royal Statistical Society, Series A (Statistics in Society). 171, pp. 313-314.
Availability: https://repository.rothamsted.ac.uk/item/8w7y4/compositional-data-analysis-in-the-geosciences-from-theory-to-practice
Authors: Welham, S. J., Cullis, B. R., Kenward, M. G., Thompson, R.
Subject Terms: Statistics & Probability
Relation: https://doi.org/10.1111/j.1467-842X.2006.00454.x; Welham, S. J., Cullis, B. R., Kenward, M. G. and Thompson, R. 2007. A comparison of mixed model splines for curve fitting. Australian & New Zealand Journal of Statistics. 49 (1), pp. 1-23. https://doi.org/10.1111/j.1467-842X.2006.00454.x
Authors: Welham, S. J., Cullis, B. R., Kenward, M. G., Thompson, R.
Subject Terms: Biology, Mathematical & Computational Biology, Statistics & Probability
Relation: https://doi.org/10.1111/j.1541-0420.2005.00500.x; Welham, S. J., Cullis, B. R., Kenward, M. G. and Thompson, R. 2006. The analysis of longitudinal data using mixed model L-splines. Biometrics. 62 (2), pp. 392-401. https://doi.org/10.1111/j.1541-0420.2005.00500.x
Authors: Welham, S. J., Cullis, B. R., Gogel, B., Gilmour, A., Thompson, R.
Subject Terms: Statistics & Probability
Relation: https://doi.org/10.1111/j.1467-842X.2004.00334.x; Welham, S. J., Cullis, B. R., Gogel, B., Gilmour, A. and Thompson, R. 2004. Prediction in linear mixed models. Australian & New Zealand Journal of Statistics. 46 (3), pp. 325-347. https://doi.org/10.1111/j.1467-842X.2004.00334.x
Authors: Rothery, P., Clark, S. J., Perry, J. N.
Subject Terms: Environmental Sciences, Mathematics, Interdisciplinary Applications, Statistics & Probability
Relation: https://doi.org/10.1002/env.619; Rothery, P., Clark, S. J. and Perry, J. N. 2003. Design of the farm-scale evaluations of genetically modified herbicide-tolerant crops. Environmetrics. 14 (7), pp. 711-717. https://doi.org/10.1002/env.619
Authors: Smith, A., Cullis, B. R., Thompson, R.
Subject Terms: Biology, Mathematical & Computational Biology, Statistics & Probability
Relation: https://doi.org/10.1111/j.0006-341X.2001.01138.x; Smith, A., Cullis, B. R. and Thompson, R. 2001. Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend. Biometrics. 57 (4), pp. 1138-1147. https://doi.org/10.1111/j.0006-341X.2001.01138.x
Authors: Riley, J.
Contributors: Barnett, V.
Subject Terms: Environmental Sciences, Environmental Studies, Medicine, General & Internal, Statistics & Probability
Relation: Riley, J. 1999. Indicator quality for multidisciplinary systems. in: Barnett, V. and Goode, J. (ed.) Environmental statistics Wiley. pp. 178-190
Availability: https://repository.rothamsted.ac.uk/item/880yy/indicator-quality-for-multidisciplinary-systems
Authors: Pan, J. X., Fang, K. T., Von Rosen, D.
Subject Terms: Mathematical & Computational Biology, Statistics & Probability
Relation: https://doi.org/10.1002/(SICI)1521-4036(199910)41:63.0.CO;2-#; Pan, J. X., Fang, K. T. and Von Rosen, D. 1999. Bayesian local influence in growth curve model with unstructured covariance. Biometrical Journal. 41 (6), pp. 641-658. https://doi.org/10.1002/(SICI)1521-4036(199910)41:63.0.CO;2-#
Availability:
https://doi.org/10.1002/(SICI)1521-4036(199910)41:6<641::AID-BIMJ641>3.0.CO;2
https://repository.rothamsted.ac.uk/item/8816y/bayesian-local-influence-in-growth-curve-model-with-unstructured-covariance
Authors: Verbyla, A. P., Cullis, B. R., Kenward, M. G., Welham, S. J.
Subject Terms: Statistics & Probability
Relation: https://doi.org/10.1111/1467-9876.00154; Verbyla, A. P., Cullis, B. R., Kenward, M. G. and Welham, S. J. 1999. The analysis of designed experiments and longitudinal data using smoothing splines. Applied Statistics. 48, pp. 269-311. https://doi.org/10.1111/1467-9876.00154