Linear models in biology: Linear systems analysis with biological applications
β Scribed by Charles E. Smith
- Book ID
- 104272637
- Publisher
- Springer
- Year
- 1987
- Tongue
- English
- Weight
- 326 KB
- Volume
- 49
- Category
- Article
- ISSN
- 1522-9602
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Fractional derivative rheological models are known to be very effective in describing the viscoelastic behaviour of materials, especially of polymers, and when applied to dynamic problems the resulting equations of motion, after a fractional state-space expansion, can still be studied in terms of mo
We propose stability criteria for differential equations that contain the time derivative of the Preisach operator.
Splitting methods are used to solve most of the linear systems, Ax = b, when the conventional method of Gauss is not efficient. These methods use the factorization of the square matrix A into two matrices M and N as A = M -N where M is nonsingular. Basic iterative methods such as Jacobi or Gauss-Sei
This article discusses two different approaches to estimate the difficulty parameters (fixed effects parameters) and the variance of latent traits (variance components) in the mixed Ranch model. The first one is the generalized estimating equations (GEE2) which uses an approximation of the marginal