Learn the definition of the linear model of communication, discover its components, and view examples. Also, understand its advantages and disadvantages. Updated: 11/21/2023 Table of Contents What Is a Linear Model of Communication? Linear Model of Communication Examples Advantages of the Linear ...
Linear Model Approach for Investigating the Comprehensive Entrainment in Conversationdoi:10.2299/jsp.28.133COMMUNICATION accommodation theoryLINEAR models (Communication)COVARIANCE matricesSUPPORT vector machinesT-test (Statistics)This study investigates the entrainment phenomenon, which is related to how s...
This model is also called a ‘linear model of communication’, ‘uni-directional process’ or ‘action model, because it describes a one-way process within communication. It is seen as one of the most influential communication models. The model consists of five components, that are used as an...
A Monte Carlo study was used to examine the Type I error rates of five multivariate tests for the single-factor repeated measures model. The performance of... M Harwell,R Serlin - 《Chi Square》 被引量: 28发表: 1995年 Hypothesis Testing for Independence Under Blocked Compound Symmetric Covari...
The perceptual process model of communication is a theory that deals with how individuals communicate with one another. This process assumes that each individual creates meaning in his own mind for each part of communication. This process is comprised of eight steps that involve both parties. ...
It is shown that any communication system which admits a sum-product (SP) receiver also admits a corresponding linear-programming (LP) receiver. The two receivers have a relationship defined by the local structure of the underlying graphical model, and are inhibited by the same phenomenon, which...
We present the theory for heteroscedastic discriminant analysis (HDA), a model-based generalization of linear discriminant analysis (LDA) derived in the ma... N Kumar,AG Andreou - 《Speech Communication》 被引量: 608发表: 1998年 LIKELIHOOD-BASED INFERENCE IN COINTEGRATED VECTOR AUTOREGRESSIVE MODEL...
Whole-brain models have proven to be useful to understand the emergence of collective activity among neural populations or brain regions. These models combine connectivity matrices, or connectomes, with local node dynamics, noise, and, eventually, transm
This study considers a networked system in which the measurement suffers from one-step delay and packet dropouts because of the unreliability of the network. A new model applied to describe the arrival conditions of the measurements is proposed. Based on the new model and using a state augmentati...
L Nordberg - Communication in Statistics- Theory and Methods 被引量: 34发表: 1982年 Variable selection in generalized linear models with canonical link functions This paper studies a class of AIC-like model selection criteria for a generalized linear model with the canonical link. They have the ...