The DOI matches its Crossref record.
Probability and Statistics for Engineers and Scientists.
Abstract
1. Introduction to Statistics and Data Analysis 2. Probability 3. Random Variables and Probability Distributions 4. Mathematical Expectations 5. Some Discrete Probability Distributions 6. Some Continuous Probability Distributions 7. Functions of Random Variables (optional) 8. Fundamental Distributions and Data Description 9. One and Two Sample Estimation Problems 10. One and Two Sided Tests of Hypotheses 11. Simple Linear Regression 12. Multiple Linear Regression 13. One Factor Experiments: General 14. Factorial Experiments (Two or More Factors) 15. 2k Factorial Experiments and Fractions 16. Nonparametric Statistics 17. Statistical Quality Control 18. Bayesian Statistics
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
The use of the area under the ROC curve in the evaluation of machine learning algorithms
Bradley, A. P. (1997) · Pattern Recognition · doi:10.1016/s0031-3203(96)00142-2 · Cited by 7,217
Robust frequency and timing synchronization for OFDM
Schmidl, T. M., & Cox, D. C. (1997) · IEEE Transactions on Communications · doi:10.1109/26.650240 · Cited by 3,409
Identification and Review of Sensitivity Analysis Methods
Christopher Frey, H., & Patil, S. R. (2002) · Risk Analysis · doi:10.1111/0272-4332.00039 · Cited by 1,036
Personalized e-learning system using Item Response Theory
Chen, C.-M., Lee, H.-M., & Chen, Y.-H. (2005) · Computers & Education · doi:10.1016/j.compedu.2004.01.006 · Cited by 482
Uncertainty analysis of thermoreflectance measurements
Yang, J., Ziade, E., & Schmidt, A. J. (2016) · Review of Scientific Instruments · doi:10.1063/1.4939671 · Cited by 174
Metadata
- Authors
- Beckman, R. J., Walpole, R. E., & Meyers, R. H.
- Venue
- Journal of the American Statistical Association
- Publisher
- JSTOR
- Published
- 1973-03
- Volume
- 68
- Issue
- 341
- Pages
- 247
- ISSN
- 0162-1459 (ISSN-L)
- OpenAlex
- W2145224695
- Cited by
- 2,835
- References
- 0
- FWCI
- 4.91
- 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: Probability and Statistics for Engineers and Scientists. https://app.cochat.ai/papers/10.2307/2284195
- The paper
- Beckman, R. J., Walpole, R. E., & Meyers, R. H. (1973). Probability and Statistics for Engineers and Scientists. Journal of the American Statistical Association. https://doi.org/10.2307/2284195
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.
