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Geostatistics Explained An Introductory Guide for Earth Scientists

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ISBN-10: 0521746566

ISBN-13: 9780521746564

Edition: 2010

Authors: Steve McKillup, Melinda Darby Dyar

List price: $77.95
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Book details

List price: $77.95
Copyright year: 2010
Publisher: Cambridge University Press
Publication date: 3/25/2010
Binding: Paperback
Pages: 414
Size: 5.91" wide x 8.90" long x 0.98" tall
Weight: 1.430
Language: English

Steve McKillup is an Associate Professor of Biology in the School of Medical and Applied Sciences at Central Queensland University, Rockhampton. He has received several tertiary teaching awards, including the Vice-Chancellor's Award for Quality Teaching and an Australian Learning and Teaching Council citation 'for developing a highly successful method of teaching complex physiological and statistical concepts, and embodying that method in an innovative international textbook' (2008). He has gained a further citation for Outstanding Contributions to Student Learning, in the latest Australian Awards for University Teaching 2014. The citation has been awarded for 'developing resources that…    

Melinda Darby Dyar is an Associate Professor of Geology and Astronomy at Mount Holyoke College, Massachusetts. Her research interests range from innovative pedagogies and curricular materials to the characterization of planetary materials. She has studied samples from mid-ocean ridges and every continent on Earth, as well as from the lunar highlands and Mars. She is a Fellow of the Mineralogical Society of America, and the author or coauthor of more than 130 refereed journal articles. She is the author of two mineralogy DVDs used in college-level teaching, and a textbook, Mineralogy and Optical Mineralogy (2008).

'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 ratio, interval or ordinal scale data
Introductory concepts of multivariate analysis
Introductory concepts of sequence analysis
Introductory concepts of spatial analysis
Choosing a test
Critical values of chi-square, Student's t and F
Answers to questions