S. Cumming

Statistics and Probability · with Bayne · 2001–2013

A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 20 citations into it
• Artificial Intelligence — 6 citations into it

Whom S. Cumming trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. R. Strawderman
2. David W. Hosmer Jr.
3. K. Burnham

Who trusts S. Cumming overall

1. M. C. Arienti
2. W. Reed
3. Steve Taylor
4. J. Littell
5. Jonathan Koh
6. Marc-André Parisien
7. S. Boutin

Papers from S. Cumming's perspective

Ordered by how strongly the researchers S. Cumming trusts endorse each paper. Same corpus, a different order for every researcher.

1. Model selection and inference : a practical information-theoretic approach
2. Modern Applied Statistics With S
3. Applied Logistic Regression: Hosmer/Applied Logistic Regression
4. A parametric model of the fire-size distribution
5. LANDBIRD COUNTING TECHNIQUES: CURRENT PRACTICES AND AN ALTERNATIVE
6. A REMOVAL MODEL FOR ESTIMATING DETECTION PROBABILITIES FROM POINT-COUNT SURVEYS
7. Generalized Linear Models
8. Effective fire suppression in boreal forests
9. Large scale wildlife monitoring studies: statistical methods for design and analysis
10. INCORPORATING AVAILABILITY FOR DETECTION IN ESTIMATES OF BIRD ABUNDANCE

Their papers

• Calibrating indices of avian density from non‐standardized survey data: making the most of a messy situation (2013) — 117 citations
• Using Binomial Distance-Sampling Models to Estimate the Effective Detection Radius of Point-Count Surveys Across Boreal Canada (2012) — 50 citations
• Empirical models of forest fire initial attack success probabilities : the effects of fuels, anthropogenic linear features, fire weather, and management (2006) — 125 citations
• Effective fire suppression in boreal forests (2005) — 141 citations
• A parametric model of the fire-size distribution (2001) — 153 citations