Statistical analysis of spatial and spatio-temporal point patterns / Peter J. Diggle.
Material type:
TextSeries: Monographs on statistics and applied probability ; 128.Publication details: Boca Raton : CRC Press, T c2014.Edition: 3rd edDescription: xxxi, 267 p. : illustrations ; 24 cmISBN: - 9781466560239 (hbk.)
- 000SA.07 23 D573
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.07 D573 (Browse shelf(Opens below)) | Available | 136534 |
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| 000SA.07 C518 Multivariate Bonferroni-type inequalities : | 000SA.07 C787 Ranking of multivariate populations : | 000SA.07 D395 Applied univariate, bivariate, and multivariate statistics / | 000SA.07 D573 Statistical analysis of spatial and spatio-temporal point patterns / | 000SA.07 D951 Principles of copula theory / | 000SA.07 El37 Joint modeling of longitudinal and time-to-event data / | 000SA.07 H112 Multivariate general linear models / |
Includes bibliographical references and index.
1. Introduction --
2. Preliminary testing --
3. Methods for sparsely sampled patterns --
4. Spatial point processes --
5. Nonparametric methods --
6. Models --
7. Model-fitting using summary descriptions --
8. Model-fitting using likelihood-based methods --
9. Point process methods in spatial epidemiology --
10. Spatio-temporal point processes --
11. Exploratory analysis --
12. Empirical models and methods --
13. Mechanistic models and methods --
References --
Index.
This third rdition presents models and statistical methods for analyzing spatially referenced point process data. Reflected in the title, this third edition now covers spatio-temporal point patterns. It explores the methodological developments from the last decade along with diverse applications that use spatio-temporally indexed data. Practical examples illustrate how the methods are applied to analyze spatial data in the life sciences. This edition also incorporates the use of R through several packages dedicated to the analysis of spatial point process data.
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