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|a Geostatistics explained :
|b an introductory guide for earth scientists /
|c Steve McKillup, Central Queensland University, Melinda Darby Dyar, Mount Holyoke College, Massachusetts.
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|a Cambridge ;
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|b Cambridge University Press,
|c 2010.
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|a "A reader-friendly introduction to geostatistics for students and researchers struggling with statistics. Using simple, clear explanations for introductory and advanced material, it demystifies complex concepts and makes formulas and statistical tests easy to apply. Beginning with a critical evaluation of experimental and sampling design, the book moves on to explain essential concepts of probability, statistical significance and type 1 and type 2 error. An accessible graphical explanation of analysis of variance (ANOVA) leads onto advanced ANOVA designs, correlation and regression, and non-parametric tests including chi-square. Finally, it introduces the essentials of multivariate techniques, multi-dimensional scaling and cluster analysis, analysis of sequences and concepts of spatial analysis. Illustrated with wide-ranging examples from topics across the Earth and environmental sciences, Geostatistics Explained can be used for undergraduate courses or for self-study and reference. Worked examples at the end of each chapter reinforce a clear understanding of the statistical tests and their applications."--Jacket.
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504 |
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|a Includes bibliographical references (pages 389-390) and index.
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|a Introduction -- "Doing science": hypotheses, experiments and disproof -- Collecting and displaying data -- Introductory concepts of experimental design -- Doing science responsibly and ethically -- Probability helps you make a decision about your results -- Working from samples: data, populations and statistics -- Normal distributions: tests for comparing the means of one and two samples -- Type 1 and type 2 error, power and sample size -- Single-factor analysis of variance -- Multiple comparisons after ANOVA -- Two-factor analysis of variance -- Important assumptions of analysis of variance, transformations and a test for equality of variances -- Two-factor analysis of variance without replication, and nested analysis of variance -- Relationships between variables: linear correlation and linear regression -- Linear regression -- Non-parametric statistics -- Non-parametric tests for nominal scale data -- Non-parametric tests for ration, interval or ordinal scale data -- Introductory concepts of multivariate analysis -- Introductory concepts of sequence analysis -- Introductory concepts of spatial analysis -- Choosing a test.
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|a Geology
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|a Dyar, M. Darby
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|i Print version:
|a McKillup, Steve.
|t Geostatistics explained.
|d Cambridge, UK ; New York : Cambridge University Press, 2010
|z 9780521763226
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