Juan Carlos Pardo-Fernández
Statistics and Probability · 2007
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 6 citations into it
Whom Juan Carlos Pardo-Fernández trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John Fox
- Holger Dette
- I. Van Keilegom
- Matt P. Wand
- John H. J. Einmahl
- Michael G. Akritas
- Thomas Mikosch
- Natalie Neumeyer
- M. Chris Jones
- Chunming Zhang
Who trusts Juan Carlos Pardo-Fernández overall
Papers from Juan Carlos Pardo-Fernández's perspective
Ordered by how strongly the researchers Juan Carlos Pardo-Fernández trusts endorse each paper. Same corpus, a different order for every researcher.
- Bootstrap Methods and Their Application
- Kernel Smoothing
- Weak Convergence and Empirical Processes: With Applications to Statistics
- Nonparametric comparison of regression curves: An empirical process approach
- Calibrating the Degrees of Freedom for Automatic Data Smoothing and Effective Curve Checking
- Approximation Theorems of Mathematical Statistics
- Bootstrapping Regression Models
- Non‐parametric Estimation of the Residual Distribution
- Specification tests in nonparametric regression
- Generalized Additive Models
Their papers
- Testing for the equality of k regression curves (2007) — 68 citations