Literature DB >> 28308668

Choosing category size in a stage projection matrix.

John Vandermeer1.   

Abstract

A basic problem associated with choosing category size in a stage projection matrix is described. "Errors of estimation" are large if the category size is chosen too small and "errors of distribution" are large if the category size is chosen too large. An approximate technique of balancing these two error types is suggested as a solution to this dilemma.

Year:  1978        PMID: 28308668     DOI: 10.1007/BF00344691

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  4 in total

1.  On the construction of the population projection matrix for a population grouped in unequal stages.

Authors:  J H Vandermeer
Journal:  Biometrics       Date:  1975-03       Impact factor: 2.571

2.  On the use of matrices in certain population mathematics.

Authors:  P H LESLIE
Journal:  Biometrika       Date:  1945-11       Impact factor: 2.445

3.  Predictions of fate from rosette size in teasel (Dipsacus fullonum L.).

Authors:  Patricia A Werner
Journal:  Oecologia       Date:  1975-09       Impact factor: 3.225

4.  Redwoods: a population model.

Authors:  C A Bosch
Journal:  Science       Date:  1971-04-23       Impact factor: 47.728

  4 in total
  4 in total

1.  Inside dynamics for stage-structured integrodifference equations.

Authors:  Nathan G Marculis; Jimmy Garnier; Roger Lui; Mark A Lewis
Journal:  J Math Biol       Date:  2019-05-10       Impact factor: 2.259

2.  A generalized algorithm for determining category size.

Authors:  Kirk A Moloney
Journal:  Oecologia       Date:  1986-05       Impact factor: 3.225

3.  Comparing plant life histories using elasticity analysis: the importance of life span and the number of life-cycle stages.

Authors:  N J Enright; M Franco; J Silvertown
Journal:  Oecologia       Date:  1995-09       Impact factor: 3.225

4.  Matrix models for size-structured populations: unrealistic fast growth or simply diffusion?

Authors:  Nicolas Picard; Jingjing Liang
Journal:  PLoS One       Date:  2014-06-06       Impact factor: 3.240

  4 in total

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