๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

The General Linear Model as a Framework for Models in Configural Frequency Analysis

โœ Scribed by Alexander Von Eye


Publisher
John Wiley and Sons
Year
1988
Tongue
English
Weight
503 KB
Volume
30
Category
Article
ISSN
0323-3847

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Non-Standard Log-Linear Models for Ortho
โœ Alexander von Eye; Michael J. Rovine ๐Ÿ“‚ Article ๐Ÿ“… 1994 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 374 KB ๐Ÿ‘ 2 views

The paper discusses LAUTSCH, LIENERT. and VON EYE'S (1992) orthogonal prediction configural frequency analysis (PCFA). Problems with this approach result from a lack of rules for specification of orthogonal comparisons, and because it is not obvious which comparisons are orthogonal. As an alternativ

Generation, modeling, and analysis of CC
โœ Ramy A. Saad; Ahmed M. Soliman ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 220 KB

## Abstract In this paper, CCIIโ€based gyrators are synthesized, modeled, and analyzed using the generalized symbolic framework for linear active circuits. The systematic synthesis method using admittance matrix expansion, included in the framework, is applied to generate optimized nullorโ€“mirror des

Residuals analysis of the generalized li
โœ Yue-Cune Chang ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 196 KB ๐Ÿ‘ 3 views

The generalized estimation equation (GEE) method, one of the generalized linear models for longitudinal data, has been used widely in medical research. However, the related sensitivity analysis problem has not been explored intensively. One of the possible reasons for this was due to the correlated

A general log-linear model for the analy
โœ Michael C. Cooper; Douglas G. Bonett; Mohammed A. El-Saidi ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 174 KB ๐Ÿ‘ 2 views

Many current methods of analyzing band recovery data are described by the classic monograph Statistical Inference from Band Recovery Data ยฑ A Handbook of Brownie et al. (1985). A log-linear model with restricted minimum modiยฎed transformed chi-square estimation and Wald type testing are proposed. Th

A flexible nonlinear modelling framework
โœ Alex J. Cannon ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 234 KB

## Abstract Parameters in a generalized extreme value (GEV) distribution are specified as a function of covariates using a conditional density network (CDN), which is a probabilistic extension of the multilayer perceptron neural network. If the covariate is time or is dependent on time, then the GE