The DOI matches its Crossref record.
Statistics and Data Analysis in Geology
Abstract
From the Publisher: This thoroughly revised edition presents important methods in the quantitative analysis of geologic data. Retains the basic arrangement of the previous edition but expands sections on probability, nonparametric statistics, and Fourier analysis. Contains revised coverage of eigenvalues and eigenvectors, and new coverage of data analysis methods, such as the semivariogram and the process of kriging.
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Citations
Cited by
The Analysis of Spatial Association by Use of Distance Statistics
Getis, A., & Ord, J. K. (1992) · Geographical Analysis · doi:10.1111/j.1538-4632.1992.tb00261.x · Cited by 6,276
Handbook on Constructing Composite Indicators: Methodology and User Guide
OECD, Union, E., & Joint Research Centre - European Commission (2008) · doi:10.1787/9789264043466-en · Cited by 3,960
A new procedure for gridding elevation and stream line data with automatic removal of spurious pits
Hutchinson, M. F. (1989) · Journal of Hydrology · doi:10.1016/0022-1694(89)90073-5 · Cited by 1,254
Ahmed, Z., Mohamed, K., Zeeshan, S., & Dong, X. (2020) · Database · doi:10.1093/database/baaa010 · Cited by 1,035
Specific microbiome-dependent mechanisms underlie the energy harvest efficiency of ruminants.
Shabat, S. K. B., Sasson, G., Doron-Faigenboim, A., Durman, T., Yaacoby, S., Berg Miller, M. E., White, B. A., Shterzer, N., & Mizrahi, I. (2016) · The ISME Journal · doi:10.1038/ismej.2016.62 · Cited by 823
Metadata
- Authors
- Shumway, R. H.
- Venue
- Technometrics
- Publisher
- Informa UK Limited
- Published
- 1987-11
- Volume
- 29
- Issue
- 4
- Pages
- 492-492
- ISSN
- 0040-1706 (ISSN-L)
- 1537-2723
- OpenAlex
- W2157895715
- Cited by
- 4,778
- References
- 0
- FWCI
- 145.76
- Type
- journal article
- Language
- en
- Open access
- closed
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- Shumway, R. H. (1987). Statistics and Data Analysis in Geology. Technometrics. https://doi.org/10.1080/00401706.1987.10488290
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.