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About the Book

As with all natural sciences, the methods of study of geological phenomena has progressed from the descriptive stage to quantification and the stage of model building. In this process of scientific endeavour, statistical methods and models are being increasingly applied to geological sciences. This collection of papers is intended to give readers some insight into the basic concepts of some of the statistical methods that have been used in interpreting geological data and to provide examples of such studies. The book is broadly divided into two parts; the first deals mainly with multivariate techniques and the second with geostatistical methods.

Table of Contents

Paper 1: Synopsis of Newer Multivariate Methods in Geology – Richard Reyment
Paper 2: Application of Statistical Techniques in Environmental Geochemistry – D.S. Ratha
Paper 3: Morphometrics of some Lepidocycline Foraminifera: Applications in Taxonomy and Biostratigraphy – P. K. Saraswati and Arun Kumar
Paper 4: Seriation of an Original Data Matrix as Applied to Biostratigraphy – James C. Brower
Paper 5: Milankovitch Cycles and Sequence Boundaries – W. Schwarzacher
Paper 6: Mineral Assessment and Target Delineation: Intrinsic Sample Concepts, Methods and Case Studies – De Verle P. Harris
Paper 7: Recoverable Reserves and their Economic Significance – P.A. Dowd
Paper 8: Introduction to the Modelling of the Support Effect – Christian Lajaunie
Paper 9: Models and Techniques in Recovery Estimation – A. Subramanyam and H.S. Pandalai
Paper 10: Geostatistical Techniques Applied to Groundwater Hydrology – Shakeel Ahmed and Vanita Agnihotri
Paper 11: Time (Spatial) Domain Stochastic Modelling of Geochemical Assays of Iron Ores: A Case Study from Northern Goa, India – P.S. Raikar

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