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Practical Statistics For Geographers And Earth Scientists (Pb 2016) - Pasta blanda

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N. Walford:
Practical Statistics for Geographers and Earth Scientists (Hardcover) - Primera edición

2011

ISBN: 0470849142

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Practical Statistics for Geographers and Earth Scientists - encuadernado, tapa blanda

2011, ISBN: 9780470849149

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Practical Statistics For Geographers And Earth Scientists - Pasta blanda

ISBN: 9780470849149

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Detalles del libro
Practical Statistics for Geographers and Earth Scientists

Practical Statistics for Geographers and Earth Scientists is a text that all students can work through, regardless of their geography or earth science stream degree pathway and their existing mathematical knowledge. The text demystifies the mathematical component of statistics and presents these techniques in an easy-to-understand fashion. Case studies that illustrate the workings of each technique through photographs and diagrams will help students visualize some of the processes involved. Also covered in the book is a clear explanation of how statistical software packages work.

Detalles del libro - Practical Statistics for Geographers and Earth Scientists


EAN (ISBN-13): 9780470849149
ISBN (ISBN-10): 0470849142
Tapa dura
Tapa blanda
Año de publicación: 2011
Editorial: John Wiley & Sons Inc
416 Páginas
Peso: 0,907 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2008-01-25T03:54:08+01:00 (Madrid)
Página de detalles modificada por última vez el 2023-08-12T14:22:32+02:00 (Madrid)
ISBN/EAN: 0470849142

ISBN - escritura alterna:
0-470-84914-2, 978-0-470-84914-9
Mode alterno de escritura y términos de búsqueda relacionados:
Título del libro: practical statistics for geographers earth scientists, the whole earth, geo


Datos del la editorial

Autor: Nigel Walford
Título: Practical Statistics for Geographers and Earth Scientists
Editorial: John Wiley & Sons
440 Páginas
Año de publicación: 2011-01-07
Peso: 0,924 kg
Idioma: Inglés
139,00 € (DE)
No longer receiving updates
168mm x 244mm x 28mm

BB; gebunden; Hardcover, Softcover / Geowissenschaften/Allgemeines, Lexika; Geowissenschaften, Geographie, Umwelt, Planung; Geographie; Geography; Earth Sciences; Geowissenschaften; Allg. Geographie; Allg. Geowissenschaften; BC

Preface. Acknowledgements. Glossary. Section 1 First principles. 1 What's in a number? Learning outcomes. 1.1 Introduction to quantitative analysis. 1.2 Nature of numerical data. 1.3 Simplifying mathematical notation. 1.4 Introduction to case studies and structure of the book. 2 Geographical data: quantity and content. Learning outcomes. 2.1 Geographical data. 2.2 Populations and samples. 2.3 Specifying attributes and variables. 3 Geographical data: collection and acquisition. Learning outcomes. 3.1 Originating data. 3.2 Collection methods. 3.3 Locating phenomena in geographical space. 4 Statistical measures (or quantities). Learning outcomes. 4.1 Descriptive statistics. 4.2 Spatial descriptive statistics. 4.3 Central tendency. 4.4 Dispersion. 4.5 Measures of skewness and kurtosis for nonspatial data. 4.6 Closing comments. 5 Frequency distributions, probability and hypotheses. Learning outcomes. 5.1 Frequency distributions. 5.2 Bivariate and multivariate frequency distributions. 5.3 Estimation of statistics from frequency distributions. 5.4 Probability. 5.5 Inference and hypotheses. 5.6 Connecting summary measures, frequency distributions and probability. Section 2 Testing times. 6 Parametric tests. Learning outcomes. 6.1 Introduction to parametric tests. 6.2 One variable and one sample. 6.3 Two samples and one variable. 6.4 Three or more samples and one variable. 6.5 Con3 dence intervals. 6.6 Closing comments. 7 Nonparametric tests. Learning outcomes. 7.1 Introduction to nonparametric tests. 7.2 One variable and one sample. 7.3 Two samples and one (or more) variable(s). 7.4 Multiple samples and/or multiple variables. 7.5 Closing comments. Section 3 Forming relationships. 8 Correlation. Learning outcomes. 8.1 Nature of relationships between variables. 8.2 Correlation techniques. 8.3 Concluding remarks. 9 Regression. Learning outcomes. 9.1 Specifcation of linear relationships. 9.2 Bivariate regression. 9.3 Concluding remarks. 10 Correlation and regression of spatial data. Learning outcomes. 10.1 Issues with correlation and regression of spatial data. 10.2 Spatial and temporal autocorrelation. 10.3 Trend surface analysis. 10.4 Concluding remarks. References. Further Reading. Index. Plate section: Statistical Analysis Planner and Checklist falls between pages 172 and 173.

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