C. P. Quesenberry

882 total citations
23 papers, 581 citations indexed

About

C. P. Quesenberry is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, C. P. Quesenberry has authored 23 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 14 papers in Statistics, Probability and Uncertainty and 6 papers in Management Science and Operations Research. Recurrent topics in C. P. Quesenberry's work include Statistical Distribution Estimation and Applications (10 papers), Probabilistic and Robust Engineering Design (10 papers) and Advanced Statistical Methods and Models (9 papers). C. P. Quesenberry is often cited by papers focused on Statistical Distribution Estimation and Applications (10 papers), Probabilistic and Robust Engineering Design (10 papers) and Advanced Statistical Methods and Models (9 papers). C. P. Quesenberry collaborates with scholars based in United States and Canada. C. P. Quesenberry's co-authors include David C. Hurst, Frank L. Miller, J. T. Kent, Federico J. O'Reilly, H. A. David, C. A. Hales, Siswadi Siswadi, Santiago Rincón-Gallardo, J. W. Dickens and T. B. Whitaker and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

C. P. Quesenberry

23 papers receiving 511 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
C. P. Quesenberry United States	13	378	218	95	87	30	23	581
Donald B. Owen United States	11	292 0.8×	225 1.0×	122 1.3×	60 0.7×	28 0.9×	16	660
Irving W. Burr United States	15	354 0.9×	388 1.8×	130 1.4×	57 0.7×	54 1.8×	25	733
Chien‐Pai Han United States	10	334 0.9×	81 0.4×	48 0.5×	86 1.0×	22 0.7×	54	546
Saul Blumenthal United States	18	563 1.5×	147 0.7×	138 1.5×	153 1.8×	14 0.5×	48	717
B. K. Kale India	14	294 0.8×	108 0.5×	66 0.7×	96 1.1×	24 0.8×	38	417
J. K. Patel United States	8	149 0.4×	103 0.5×	35 0.4×	46 0.5×	13 0.4×	12	388
D. A. Evans United Kingdom	6	382 1.0×	659 3.0×	69 0.7×	38 0.4×	110 3.7×	10	842
William G. Bulgren United States	11	260 0.7×	111 0.5×	68 0.7×	79 0.9×	7 0.2×	32	390
M. V. Johns United States	14	432 1.1×	195 0.9×	124 1.3×	125 1.4×	20 0.7×	17	672
A. F. Bissell United Kingdom	11	184 0.5×	284 1.3×	68 0.7×	36 0.4×	74 2.5×	45	532

Countries citing papers authored by C. P. Quesenberry

Since Specialization

Citations

This map shows the geographic impact of C. P. Quesenberry's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by C. P. Quesenberry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. P. Quesenberry more than expected).

Fields of papers citing papers by C. P. Quesenberry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. P. Quesenberry. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by C. P. Quesenberry. The network helps show where C. P. Quesenberry may publish in the future.

Co-authorship network of co-authors of C. P. Quesenberry

This figure shows the co-authorship network connecting the top 25 collaborators of C. P. Quesenberry. A scholar is included among the top collaborators of C. P. Quesenberry based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. P. Quesenberry. C. P. Quesenberry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Quesenberry, C. P., et al.. (1991). A NU Test for Serial Correlation of Residuals From One or More Regression Regimes. Technometrics. 33(4). 441–457. 2 indexed citations

Quesenberry, C. P., et al.. (1991). A NU Test for Serial Correlation of Residuals from One or More Regression Regimes. Technometrics. 33(4). 441–441. 5 indexed citations

Quesenberry, C. P., F. G. Giesbrecht, & J. C. Burns. (1983). Some Methods for Studying the Validity of Normal Model Assumptions for Multiple Samples. Biometrics. 39(3). 735–735. 1 indexed citations

Quesenberry, C. P. & J. T. Kent. (1982). Selecting Among Probability Distributions Used in Reliability. Technometrics. 24(1). 59–65. 67 indexed citations

Quesenberry, C. P. & C. P. Quesenberry. (1982). On the disribution of residuals form fitted parametric models. Journal of Statistical Computation and Simulation. 15(2-3). 129–140. 2 indexed citations

Siswadi, Siswadi & C. P. Quesenberry. (1982). Selecting among weibull, lognormal and gamma distributions using complete and censored smaples. Naval Research Logistics Quarterly. 29(4). 557–569. 15 indexed citations

Quesenberry, C. P. & J. T. Kent. (1982). Selecting among Probability Distributions Used in Reliability. Technometrics. 24(1). 59–59. 25 indexed citations

Quesenberry, C. P. & C. A. Hales. (1980). Concentration bands for uniformity plots. Journal of Statistical Computation and Simulation. 11(1). 41–53. 27 indexed citations

Rincón-Gallardo, Santiago, C. P. Quesenberry, & Federico J. O'Reilly. (1979). Conditional Probability Integral Transformations and Goodness-of-Fit Tests for Multivariate Normal Distributions. The Annals of Statistics. 7(5). 22 indexed citations

10.

Quesenberry, C. P.. (1978). On similarity and independence properties of composite edf goodness-of-fit tests. Communication in Statistics- Theory and Methods. 7(8). 717–723. 1 indexed citations

11.

Quesenberry, C. P. & Frank L. Miller. (1977). Power studies of some tests for uniformity. Journal of Statistical Computation and Simulation. 5(3). 169–191. 61 indexed citations

12.

Quesenberry, C. P., T. B. Whitaker, & J. W. Dickens. (1976). On Testing Normality Using Several Samples: An Analysis of Peanut Aflatoxin Data. Biometrics. 32(4). 753–753. 9 indexed citations

13.

Quesenberry, C. P.. (1975). Transforming samples from truncation parameter distributions to uniformity. Communications in Statistics. 4(12). 1149–1155. 14 indexed citations

14.

Miller, Frank L. & C. P. Quesenberry. (1973). Power comparisons of tests for uniformity. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5(1). 39–49. 1 indexed citations

15.

O'Reilly, Federico J. & C. P. Quesenberry. (1973). The Conditional Probability Integral Transformation and Applications to Obtain Composite Chi-Square Goodness-of-Fit Tests. The Annals of Statistics. 1(1). 46 indexed citations

16.

O'Reilly, Federico J. & C. P. Quesenberry. (1972). Uniform Strong Consistency of Rao-Blackwell Distribution Function Estimators. The Annals of Mathematical Statistics. 43(5). 1678–1679. 6 indexed citations

17.

Quesenberry, C. P., et al.. (1968). Nonparametric Discrimination Using Tolerance Regions. The Annals of Mathematical Statistics. 39(2). 664–673. 34 indexed citations

18.

Quesenberry, C. P., et al.. (1964). Large Sample Simultaneous Confidence Intervals for Multinomial Proportions. Technometrics. 6(2). 191–191. 38 indexed citations

19.

Quesenberry, C. P. & H. A. David. (1961). Some tests for outliers. Biometrika. 48(3-4). 379–390. 54 indexed citations

20.

Quesenberry, C. P., et al.. (1961). Some Tests for Outliers. Biometrika. 48(3/4). 379–379. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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