J. Lappi
European Journal of Forest Research · 2006
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.
Whom J. Lappi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts J. Lappi overall
Papers from J. Lappi's perspective
Ordered by how strongly the researchers J. Lappi trusts endorse each paper. Same corpus, a different order for every researcher.
- Interregional nonlinear height-diameter model with random coefficients for stone pine in Spain
- Nonlinear models for repeated measurement data: An overview and update
- Predicting site index of Douglas-Fir plantations from ecological variables in the Massif Central area of France
- Analysis of longitudinal data
- An improved method for estimating individual growth variability in fish, and the correlation between von Bertalanffy growth parameters
- Standard errors and confidence intervals in inverse problems: sensitivity and associated pitfalls
- Estimation and extrapolation of optimal treatment and testing strategies
- Propensity score estimation: machine learning and classification methods as alternatives to logistic regression
- Falling Rule Lists
- A graphical approach to the identification and estimation of causal parameters in mortality studies with sustained exposure periods.
Their papers
- A non-linear hierarchical mixed model to describe tree height growth (2006) — 48 citations