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Biometry: The Principles and Practice of Statistics in Biological Research (2nd ed.).
Abstract
This text develops the science of biometry from an elementary introduction up to the advanced methods necessary for biological research and for an understanding of the published literature. This text is aimed primarily at the academic biologist including general zoologists botanists microbiologists geneticists and physiologists in universities research institutes and museums. This book while furnishing ample directions for the analysis of experimental works also stresses the descriptive and analytical statistical study of biological phenomena. It is intended both as a text to accompany a lecture course and as a complete course for self-study. The book aims to instill in students an ability to think through biological research problems in such a way as to grasp the essentials of the experimental or analytical setup to know which types of statistical tests to apply in a given case and to carry out the computations required. Chapters cover biological data data handling descriptive statistics probability estimation and hupothesis testing analysis of variance linear regression correlation multiple and curvilinear regression analysis of frequencies and miscellaneous methods.
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Citations
Cited by
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Ravussin, E., Lillioja, S., Knowler, W. C., Christin, L., Freymond, D., Abbott, W. G. H., Boyce, V., Howard, B. V., & Bogardus, C. (1988) · New England Journal of Medicine · doi:10.1056/nejm198802253180802 · Cited by 1,215
A multi-sensor approach for the on-orbit validation of ocean color satellite data products
Bailey, S. W., & Werdell, P. J. (2006) · Remote Sensing of Environment · doi:10.1016/j.rse.2006.01.015 · Cited by 964
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Jenkins, D. G., & Quintana-Ascencio, P. F. (2020) · PLOS ONE · doi:10.1371/journal.pone.0229345 · Cited by 665
Segrè, A. V., DIAGRAM Consortium, MAGIC investigators, Groop, L., Mootha, V. K., Daly, M. J., & Altshuler, D. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001058 · Cited by 463
Metadata
- Authors
- Bailey, K., Sokal, R. R., & Rohlf, F. J.
- Venue
- Journal of the American Statistical Association
- Publisher
- JSTOR
- Published
- 1982-12
- Volume
- 77
- Issue
- 380
- Pages
- 946
- ISSN
- 0162-1459 (ISSN-L)
- OpenAlex
- W2608799023
- Cited by
- 3,728
- References
- 0
- FWCI
- 29.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Biometry: The Principles and Practice of Statistics in Biological Research (2nd ed.). https://app.cochat.ai/papers/10.2307/2287349
- The paper
- Bailey, K., Sokal, R. R., & Rohlf, F. J. (1982). Biometry: The Principles and Practice of Statistics in Biological Research (2nd ed.). Journal of the American Statistical Association. https://doi.org/10.2307/2287349
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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.
