Kenneth L. Kvamme Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Fayetteville
faculty
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Biography and Research Information
OverviewAI-generated summary
Kenneth L. Kvamme's research interests lie at the intersection of statistical methods and their application in various analytical domains, including archaeology and general statistical practice. He has published extensively on statistical methodologies, with a particular focus on permutation tests and their implementation using the R programming language. His work explores fundamental statistical concepts such as central tendency and variability, and the design of experiments, including randomized-blocks and completely-randomized designs. Kvamme has also contributed to the field of archaeological research through the application of geographic information systems (GIS), investigating methods for characterizing landscape features, such as the ridge-drainage continuum in digital elevation models.
With an h-index of 23 and over 1,600 citations from 124 publications, Kvamme is recognized as a highly cited researcher. He leads a research group and has a notable collaboration history with Paul W. Mielke, with whom he shares 12 publications. His recent activity and publications indicate an ongoing engagement with his research areas.
Metrics
- h-index: 23
- Publications: 124
- Citations: 1,682
Selected Publications
- Defining and Modeling the Dimensions of Settlement Choice: An Empirical Approach (2023) DOI
- Integrating Survey Data (2023) DOI
- Geographical Information Systems (GIS) (2022) DOI
- Introduction (2021) DOI
- Two-Sample Tests (2021) DOI
- One-Sample Tests (2021) DOI
- Permutation Statistical Methods (2021) DOI
- Central Tendency and Variability (2021) DOI
- Matched-Pairs Tests (2021) DOI
- Randomized-Blocks Designs (2021) DOI
- Completely-Randomized Designs (2021) DOI
- A filter for characterizing the ridge-drainage continuum in digital elevation models (2021) DOI
- The R Programming Language (2021) DOI
- Chi-Squared and Related Measures (2021) DOI
- Permutation Statistical Methods with R (2021) DOI
Collaborators
Researchers in the database who share publications