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2016, ISBN: 9780470849149
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2011, ISBN: 0470849142
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[EAN: 9780470849149], Neubuch, [PU: John Wiley & Sons Inc, New York], Hardcover. Practical Statistics for Geographers and Earth Scientists provides an introductory guide to the principles… Mehr…
2011
ISBN: 0470849142
Gebundene Ausgabe
[EAN: 9780470849149], Neubuch, [PU: John Wiley & Sons Inc, New York], Hardcover. Practical Statistics for Geographers and Earth Scientists provides an introductory guide to the principles… Mehr…
2011, ISBN: 9780470849149
Buch, Hardcover, Practical Statistics for Geographers and Earth Scientists provides an introductory guide to the principles and application of statistical analysis in context. This book h… Mehr…
ISBN: 9780470849149
Wiley. Softcover. Brand New. International Edition - ISBN number and front cover may be different in rare cases but CONTENTS are same as the US edition. No shipping to … Mehr…
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Detailangaben zum Buch - Practical Statistics for Geographers and Earth Scientists
EAN (ISBN-13): 9780470849149
ISBN (ISBN-10): 0470849142
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2011
Herausgeber: John Wiley & Sons Inc
416 Seiten
Gewicht: 0,907 kg
Sprache: eng/Englisch
Buch in der Datenbank seit 2008-01-25T03:54:08+01:00 (Zurich)
Detailseite zuletzt geändert am 2023-08-12T14:22:32+02:00 (Zurich)
ISBN/EAN: 0470849142
ISBN - alternative Schreibweisen:
0-470-84914-2, 978-0-470-84914-9
Alternative Schreibweisen und verwandte Suchbegriffe:
Titel des Buches: practical statistics for geographers earth scientists, the whole earth, geo
Daten vom Verlag:
Autor/in: Nigel Walford
Titel: Practical Statistics for Geographers and Earth Scientists
Verlag: John Wiley & Sons
440 Seiten
Erscheinungsjahr: 2011-01-07
Gewicht: 0,924 kg
Sprache: Englisch
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.Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
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