Results 261 to 270 of about 8,857,554 (290)

Null Controllability in a Heat–Solid Structure Model

Applied Mathematics and Optimization, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vanninathan, Muthusamy, Raymond, Jean-Pierre   +1 more
openaire   +3 more sources

P Values for Composite Null Models

Journal of the American Statistical Association, 2000
Abstract The problem of investigating compatibility of an assumed model with the data is investigated in the situation when the assumed model has unknown parameters. The most frequently used measures of compatibility are p values, based on statistics T for which large values are deemed to indicate incompatibility of the data and the model.
M. J. Bayarri, James O. Berger
openaire   +1 more source

Null or minimal models

1994
Abstract The problem with models in phylogenetic inference is one of regress or circularity. Sound models demand either some knowledge of phylogeny, or assumptions about it. If knowledge is claimed, how was that knowledge gained? If assumptions are held to be merely provisional or approximate, how will they be tested by phylogenies that ...
openaire   +1 more source

Null Models in Cluster Validation

1996
A brief overview is given of the problem of validation in classification studies. Attention is concentrated on the specification of appropriate null models for data, with respect to which one may assess some cluster structure that has been obtained as the output of a clustering algorithm.
openaire   +1 more source

Null Models in Ecology.

Ecology, 1997
Kimberly A. With, Nicholas J. Gotelli, Gary R. Graves   +2 more
openaire   +2 more sources

A Null Model for Null Models in Biogeography

2014
ROBERT K. COLWELL, DAVID W. WINKLER
openaire   +1 more source

20. A Null Model for Null Models in Biogeography

1984
Robert K. Colwell, David W. Winkler
openaire   +1 more source

Random Graphs as Null Models

2016
In the last chapter, a qualitative comparison of various real-world structures with classic random graph models revealed that complex networks are non-random in many aspects. This chapter focuses on the question of how to quantify the statistical significance of an observed network structure with respect to a given random graph model.
openaire   +1 more source

Null Model Analysis of Species Co-Occurrence Patterns

Ecology, 2000
Nicholas J. Gotelli
exaly   +2 more sources

Null models for animal social network analysis and data collected via focal sampling: Pre-network or node network permutation?

Methods in Ecology and Evolution, 2021
Cédric Sueur, Sebastian Sosa, Ivan Puga-Gonzalez   +2 more
exaly