Chris J. Cieszewski
Forestry sciences · 2000–2008
A researcher in the Science corpus: 7 papers; trusts 3 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Whom Chris J. Cieszewski trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Chris J. Cieszewski overall
- Ulises Diéguez-Aranda
- T. Nord‐Larsen
- Aaron Weiskittel
- M. B. Anta
- P. Adame
- Henrik Meilby
- J. A. Grandas-Arias
- D. Hann
- J. P. Skovsgaard
- Harold E. Burkhart
Papers from Chris J. Cieszewski's perspective
Ordered by how strongly the researchers Chris J. Cieszewski trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Calculating landscape surface area from digital elevation models
- A Flexible Growth Function for Empirical Use
- Gentleman R: R: A language for data analysis and graphics
- Estimation and mapping of forest stand density, volume, and cover type using the k-nearest neighbors method
- Data Analysis Using Stein's Estimator and its Generalizations
- Iterative Reclassification Procedure for Constructing An Asymptotically Optimal Rule of Allocation in Discriminant-Analysis
- Factor Analysis as a Statistical Method.
- A Simplex Method for Function Minimization
- A Generalization of Bayesian Inference
Their papers
- Comparing Fixed- and Variable-Base-Age Site Equations Having Single Versus Multiple Asymptotes (2002) — 110 citations
- Generalized Algebraic Difference Approach Derivation of Dynamic Site Equations with Polymorphism and Variable Asymptotes from Exponential and Logarithmic Functions (2008) — 47 citations
- A linear mixed-effects model of biomass and volume of trees using Landsat ETM+ images (2007) — 71 citations
- A finite mixture distribution approach for characterizing tree diameter distributions by natural social class in pure even-aged Scots pine stands in Poland (2005) — 46 citations
- Developing a Well-Behaved Dynamic Site Equation Using a Modified Hossfeld IV Function Y3 = (axm)/(c + x m–1), a Simplified Mixed-Model and Scant Subalpine Fir Data (2003) — 102 citations
- Three methods of deriving advanced dynamic site equations demonstrated on inland Douglas-fir site curves (2001) — 107 citations
- Generalized Algebraic Difference Approach: Theory Based Derivation of Dynamic Site Equations with Polymorphism and Variable Asymptotes (2000) — 218 citations