This presentation will discuss statistical methods for use in the analysis of remotely sensed data. Many of the methods represent enhancements of traditional means for processing remotely sensed data that have been developed by the CSIRO Mathematical and Information Sciences Remote Sesning and Monitoring Group (CMIS-RSM). The presentation will discuss statistical methods in the context of parti...

ii Acknowledgements iii

mental data are given, the majority of these coming from agricultural experiments, but some being data from medical investigations. The book contains 17 chapters in all. The first three consist of an introduction, an account of methods of increasing the accuracy of experiments, and the review referred to above of methods of statistical analysis. The remaining 14 chapters give the detailed accou...

The prediction of extreme crest elevations is fundamental to the design of marine structures, irrespective of whether they are intended for deep-water offshore locations or shallow-water coastal locations. In undertaking design extreme crest elevations, specified in terms of either a 1 in 100 year or 1 in 10,000 year event, are relevant to both the overall geometry of the structure, particularl...

We seek to quantify both the classification performance and estimation error robustness of the authors’ tomographic classifier fusion methodology by contrasting it in field tests and model scenarios with the sum and product classifier fusion methodologies. In particular, we seek to confirm that the tomographic methodology represents a generally optimal strategy across the entire range of proble...