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Data analysis and statistics for geography, environmental science, and engineering /
PART I Introduction to Probability, Statistics, Time Series, and Spatial AnalysisIntroductionBrief History of Statistical and Probabilistic AnalysisComputersApplicationsTypes of VariablesProbability Theory and Random VariablesMethodologyDescriptive StatisticsInferential StatisticsPredictors, Models,...
| Call Number: | Libro Electrónico |
|---|---|
| Main Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Boca Raton, FL :
CRC Press,
[2013]
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| Subjects: | |
| Online Access: | Texto completo Texto completo |
Table of Contents:
- Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1
- Introduction; Chapter 2
- Probability Theory; Chapter 3
- Random Variables, Distributions, Moments, and Statistics; Chapter 4
- Exploratory Analysis and Introduction to Inferential Statistics; Chapter 5
- More on Inferential Statistics: Goodness of Fit, Contingency Analysis, and Analysis of Variance; Chapter 6
- Regression; Chapter 7
- Stochastic or Random Processes and Time Series; Chapter 8
- Spatial Point Patterns; Chapter 9
- Matrices and Linear Algebra; Chapter 10
- Multivariate Models.
- Chapter 11
- Dependent Stochastic Processes and Time SeriesChapter 12
- Geostatistics: Kriging; Chapter 13
- Spatial Auto-Correlation and Auto-Regression; Chapter 14
- Multivariate Analysis I: Reducing Dimensionality; Chapter 15
- Multivariate Analysis II: Identifying and Developing Relationships among Observations and Variables; Bibliography; Back Cover.