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Data analysis and statistics for geography, environmental science, and engineering / by Miguel F. Acevedo

By: Material type: TextTextLanguage: English Publication details: CRC Press, 2013. Boca Raton :Description: xxi, 535pISBN:
  • 9781439885017
Subject(s): DDC classification:
  • 519.5 ACE-D
Contents:
Part I Introduction to Probability, Statistics, Time Series, and Spatial Analysis-- 1.Introduction-- 2.Probability Theory-- 3. Random Variables, Distributions, Moments, and Statistics-- 4. Exploratory Analysis and Introduction to Inferential Statistics-- 5. More on Inferential Statistics: Goodness of Fit, Contingency Analysis, and Analysis of Variance-- 6. Regression-- 7. Stochastic or Random Processes and Time Series-- 8. Spatial Point Patterns-- Part II Matrices, Tempral and Spatial Autoregressive Processes, and Multivariate Analysis-- 9. Matrices and Linear Algebra-- 10. Multivariate Models-- 11. Dependent Stochastic Processes and Time Series-- 12. Geostatistics: Kriging-- 13.Spatial Auto-Correlation and Auto-Regression-- 14. Multivariate Analysis I: Reducing Dimensionality-- 15. Multivariate Analysis
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Text/Reserve Book Text/Reserve Book Library, SPAB G-1 Non Fiction 519.5 ACE-D (Browse shelf(Opens below)) Available 007424
Total holds: 0

Part I Introduction to Probability, Statistics, Time Series, and Spatial Analysis--
1.Introduction--
2.Probability Theory--
3. Random Variables, Distributions, Moments, and Statistics--
4. Exploratory Analysis and Introduction to Inferential Statistics--
5. More on Inferential Statistics: Goodness of Fit, Contingency Analysis, and Analysis of Variance--
6. Regression--
7. Stochastic or Random Processes and Time Series--
8. Spatial Point Patterns--
Part II Matrices, Tempral and Spatial Autoregressive Processes, and Multivariate Analysis--
9. Matrices and Linear Algebra--
10. Multivariate Models--
11. Dependent Stochastic Processes and Time Series--
12. Geostatistics: Kriging--
13.Spatial Auto-Correlation and Auto-Regression--
14. Multivariate Analysis I: Reducing Dimensionality--
15. Multivariate Analysis

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