𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A multiple-criteria composite index model for quantitative and qualitative data

✍ Scribed by Wade D. Cook; Moshe Kress


Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
783 KB
Volume
78
Category
Article
ISSN
0377-2217

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


A Unified Approach to Joint Modeling of
✍ JUKKA CORANDER; MIKKO J. SILLANPÄÄ 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 215 KB

Using graph theory, we present a theoretical basis for mapping oligogenes in the joint presence of multiple phenotypic measurements of both quantitative and qualitative types. Various statistical models proposed earlier for several traits of solely single type are special cases of the unified approa

A Population Genetics Model for Multiple
✍ CHRISTOPHER F. TAYLOR; PAUL G. HIGGS 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 355 KB

We study a population genetics model of an organism with a genome of ¸RMR loci that determine the values of ¹ quantitative traits. Each trait is controlled by a subset of ¸loci assigned randomly from the genome. There is an optimum value for each trait, and stabilizing selection acts on the phenotyp

Phanerozoic general circulation model re
✍ L. A. Frakes; E. J. Barron 📂 Article 📅 2001 🏛 Taylor and Francis Group 🌐 English ⚖ 440 KB

Quantitative data bearing on Phanerozoic climates of Australia are summarised and comparisons are made with the predictions of atmospheric general circulation models over 12 time slices from the Silurian to the Miocene. Summaries of the model‐derived mean temperature and precipitation conditions are

A Dynamic Logistic Regression Model for
✍ Prof. Dr. A. Hamerle 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 526 KB

The paper deals with discrete-time regression models to analyze multistate-multiepisode failure time data. The covariate process may include fixed and external as well aa internal time dependent covarjates. The effects of the covariates may differ among different kinds of failures and among successi

A powerful new technique for the quantit
✍ A. J. M. Williams; A. P. Duffy; M. S. Woolfson; T. M. Benson 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 114 KB 👁 2 views

A quantitati¨e ¨alidation procedure for comparisons of modeled and experimental data is described. This produces se¨eral le¨els of information, from a straightforward numerical assessment to detailed diagnostic data. Results show that this method has significant ad¨antages o¨er a ¨isual approach in