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Titlebook: Geostatistics with Applications in Earth Sciences; D. D. Sarma Textbook 2009Latest edition The Editor(s) (if applicable) and The Author(s)

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Computer Software,The following statistical and geostatistical software programs written in FORTRAN can be implemented with ease on a PC. These can be also implemented on other systems with slight modifications.
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Textbook 2009Latest editionware codes are put in a CD for convenience of the students/practitoner of geostatistics. A few additions have been made in the bibliography making it more exhaustive. This contains references to the concepts and methods presented, in-depth treatment of related topics and possible extensions. My grat
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Statistical Methods in Earth Sciences,ons, particularly on observations where there is a large portion of uncertainty, Statistics plays a major role in drawing inferences concerning the earth and its interior. Statistical problems, whether perceived or not, still persist when there are elements associated with chance. Earth scientists t
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Univariate Statistical Methods, Frequency Analysis and Simulation,e a set of data obtained by performing the experiment a number of times is called ‘sample’ from the population. Since it is time consuming, uneconomical and may not be practical to analyse the whole population, statistical inference consists in drawing conclusions on the basis of its samples drawn.
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Stochastic Modelling (Time Series Analysis) and Forecasting,nces of samples are drawn. Prediction of future observations is done by constructing relevant models based on stochastic process concepts. Stochastic processes can be classified as stationary and non-stationary. Special classes of linear models of stationary stochastic processes are:
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Regularised Models, Volume-Variance Relationships and Economics,d and copper were based on point/punctual samples. Point samples do not possess any support/volume. However, in the case of variogram for Fe.O. element of bauxite mineral, the variogram was based on core samples of length 0.5 m. The assay values represent the averages for core lengths of 0.5 m. Tabl
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