The DOI matches its Crossref record.
Multivariate Geostatistics: An Introduction With Applications.
Abstract
The USt of general descriptive names, registered names, trademarks, ~tc. in this publication does not irnply.even in the absence of a specific statemen t, that such names are ~~cmpt from the rel~vant protective laws and regulations and thcre fore fTee for general Ust .Product liability: The publishcrs cannot guarantee th~ accuracy of any information about the app licatioD of operative technique s and medications eontained in this book.In every indi vidua l cast the user must check such infonnation by consulting the re levant literature. Camera ready byauthorCover design: E. Kirchner.Heide lberg Printed on acid-free paper SPIN 11398189 3213111fas 54321 1 L'analyse des donnees est "un outil pour degager de la gangue des donnees le pur diamant de la veridique nature". IP BENZECRI (according to [333])Multivariate analysis is "a tool to extract from the gangue of the data the pure diamond of truthful nature".
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
A generic framework for spatial prediction of soil variables based on regression-kriging
Hengl, T., Heuvelink, G. B. M., & Stein, A. (2004) · Geoderma · doi:10.1016/j.geoderma.2003.08.018 · Cited by 1,083
About regression-kriging: From equations to case studies
Hengl, T., Heuvelink, G. B. M., & Rossiter, D. G. (2007) · Computers & Geosciences · doi:10.1016/j.cageo.2007.05.001 · Cited by 1,019
Yondo, R., Andrés, E., & Valero, E. (2018) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2017.11.003 · Cited by 311
Advancing Near-Real-Time Quality Controls of Meteorological Observations
Toreti, A., Bratu, M., Müller, E., van der Grijn, G., Oliveira, I., Zampieri, M., & Ceglar, A. (2022) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-21-0171.1 · Cited by 3
Metadata
- Authors
- Haas, T. C., & Wackernagel, H.
- Venue
- Journal of the American Statistical Association
- Publisher
- JSTOR
- Published
- 1996-09
- Volume
- 91
- Issue
- 435
- Pages
- 1375
- ISSN
- 0162-1459 (ISSN-L)
- OpenAlex
- W2613327815
- Cited by
- 589
- References
- 0
- FWCI
- 3.02
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Multivariate Geostatistics: An Introduction With Applications. https://app.cochat.ai/papers/10.2307/2291758
- The paper
- Haas, T. C., & Wackernagel, H. (1996). Multivariate Geostatistics: An Introduction With Applications. Journal of the American Statistical Association. https://doi.org/10.2307/2291758
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.
