Peter H. Peskun

638 total citations
9 papers, 342 citations indexed

About

Peter H. Peskun is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Control and Systems Engineering. According to data from OpenAlex, Peter H. Peskun has authored 9 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 3 papers in Statistics, Probability and Uncertainty and 2 papers in Control and Systems Engineering. Recurrent topics in Peter H. Peskun's work include Markov Chains and Monte Carlo Methods (2 papers), Fault Detection and Control Systems (2 papers) and Advanced Statistical Methods and Models (2 papers). Peter H. Peskun is often cited by papers focused on Markov Chains and Monte Carlo Methods (2 papers), Fault Detection and Control Systems (2 papers) and Advanced Statistical Methods and Models (2 papers). Peter H. Peskun collaborates with scholars based in Canada and United Kingdom. Peter H. Peskun's co-authors include and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Computational Physics and Biometrika.

In The Last Decade

Peter H. Peskun

9 papers receiving 308 citations

Peers

Peter H. Peskun

SP

AI

MP

CMP

SNP

Peter E. Castro United States

Mark Huber United States

Raúl Gouet Chile

Pierre-André Zitt France

Harald Bergström Sweden

Yukio Ogura Japan

James L. McGregor United States

Robert E. Gaunt United Kingdom

Erik Andersén Denmark

Tom Alberts United States

Peter E. Castro United States

Peter H. Peskun

130 ×0.6

SP

73 ×0.6

AI

109 ×1.9

MP

18 ×0.5

CMP

26 ×0.8

SNP

Citations per year, relative to Peter H. Peskun Peter H. Peskun (= 1×) peers Peter E. Castro

Countries citing papers authored by Peter H. Peskun

Since Specialization

Citations

This map shows the geographic impact of Peter H. Peskun'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 Peter H. Peskun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter H. Peskun more than expected).

Fields of papers citing papers by Peter H. Peskun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter H. Peskun. 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 Peter H. Peskun. The network helps show where Peter H. Peskun may publish in the future.

No nodes

All Works

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9 of 9 papers shown

1.

Peskun, Peter H.. (2018). Two-Tailed p -Values and Coherent Measures of Evidence. The American Statistician. 74(1). 80–86. 8 indexed citations

2.

Peskun, Peter H.. (1993). A New Confidence Interval Method Based on the Normal Approximation for the Difference of Two Binomial Probabilities. Journal of the American Statistical Association. 88(422). 656–661. 16 indexed citations

3.

Peskun, Peter H.. (1993). A New Confidence Interval Method Based on the Normal Approximation for the Difference of Two Binomial Probabilities. Journal of the American Statistical Association. 88(422). 656–656. 6 indexed citations

4.

Peskun, Peter H.. (1990). A Note on a General Method for Obtaining Confidence Intervals from Samples from Discrete Distributions. The American Statistician. 44(1). 31–31. 4 indexed citations

5.

Peskun, Peter H.. (1990). A Note on a General Method for Obtaining Confidence Intervals from Samples from Discrete Distributions. The American Statistician. 44(1). 31–35. 6 indexed citations

6.

Peskun, Peter H.. (1987). Constructing Symmetric Tests of Hypotheses. Teaching Statistics. 9(1). 19–23. 2 indexed citations

7.

Peskun, Peter H.. (1981). Guidelines for choosing the transition matrix in Monte Carlo methods using Markov chains. Journal of Computational Physics. 40(2). 327–344. 8 indexed citations

8.

Peskun, Peter H.. (1973). Optimum Monte-Carlo sampling using Markov chains. Biometrika. 60(3). 607–612. 281 indexed citations

9.

Peskun, Peter H.. (1973). Optimum Monte-Carlo Sampling Using Markov Chains. Biometrika. 60(3). 607–607. 11 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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