NDLI: Computer simulations of the ROUSE model: An analytic simulation technique and a comparison between the error variance—covariance and bootstrap methods for estimating parameter confidence

Please wait, while we are loading the content...

Computer simulations of the ROUSE model: An analytic simulation technique and a comparison between the error variance—covariance and bootstrap methods for estimating parameter confidence

Throughput: A simple performance index with desirable characteristics

Oreja: A MATLAB environment for the design of psychoacoustic stimuli

General recognition theory of categorization: A MATLAB toolbox

Mix, a program for pseudorandomization

Stimulus generation, ratings, phoneme counts, and group classifications for 696 famous people by British adults over 40 years of age

The Bristol norms for age of acquisition, imageability, and familiarity

Cross-validating the Berlin Affective Word List

E-Hitz: A word frequency list and a program for deriving psycholinguistic statistics in an agglutinative language (Basque)

Assessing short summaries with human judgments procedure and latent semantic analysis in narrative and expository texts

A computational model for simulating text comprehension

Measuring online volitional response control with a continuous tracking task

MiniCog: A method for administering psychological tests and experiments on a handheld personal digital assistant

RUI: Recording user input from interfaces under Windows and Mac OS X

A system for tracking gaze on handheld devices

Detecting eye movements in dynamic environments

Interpersonal dynamics in sport: The role of artificial neural networks and 3-D analysis

An index of specific behaviors in the moral domain

A complete database of international chess players and chess performance ratings for varied longitudinal studies

Comparing the EthoVision 2.3 system and a new computerized multitracking prototype system to measure the swimming behavior in fry fish

Behavior Research Methods : Volume 38, Issue 3, August 2006

Behavior Research Methods : Volume 38, Issue 2, May 2006

Behavior Research Methods : Volume 38, Issue 1, February 2006

Behavior Research Methods : Volume 37

Behavior Research Methods : Volume 36

Behavior Research Methods : Volume 35

Behavior Research Methods : Volume 34

Behavior Research Methods : Volume 33

Behavior Research Methods : Volume 32

Behavior Research Methods : Volume 31

Behavior Research Methods : Volume 30

Behavior Research Methods : Volume 29

Computer simulations of the ROUSE model: An analytic simulation technique and a comparison between the error variance—covariance and bootstrap methods for estimating parameter confidence

Content Provider	Springer Nature Link
Author	Huber, David E.
Copyright Year	2006
Abstract	This article provides important mathematical descriptions and computer algorithms in relation to the responding optimally with unknown sources of evidence (ROUSE) model of Huber, Shiffrin, Lyle, and Ruys (2001), which has been applied to short-term priming phenomena. In the first section, techniques for obtaining parameter confidence intervals and parameter correlations are described, which are generally applicable to any mathematical model. In the second section, a technique for producing analytic ROUSE predictions is described. Huber et al. (2001) averaged many stochastic trials to obtain stable behavior. By appropriately weighting all possible combinations of feature states, an alternative analytic version is developed, yielding asymptotic model behavior with fewer computations. The third section ties together these separate techniques, obtaining parameter confidence and correlations for the analytic version of the ROUSE model. In doing so, previously unreported behaviors of the model are revealed. In particular, complications due to local minima are discussed, in terms of both variance-covariance analyses and bootstrap sampling analyses.
Starting Page	557
Ending Page	568
Page Count	12
File Format	PDF
ISSN	1554351X
Journal	Behavior Research Methods
Volume Number	38
Issue Number	4
e-ISSN	15543528
Language	English
Publisher	Springer-Verlag
Publisher Date	2006-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cognitive Psychology
Content Type	Text
Resource Type	Article
Subject	Experimental and Cognitive Psychology Arts and Humanities Developmental and Educational Psychology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Computer simulations of the ROUSE model: An analytic simulation technique and a comparison between the error variance—covariance and bootstrap methods for estimating parameter confidence

Comparison of methods for constructing confidence intervals of standardized indirect effects

Estimating confidence intervals for eigenvalues in exploratory factor analysis

Parametric and nonparametric bootstrap methods for meta-analysis

Estimating parameters of the diffusion model: Approaches to dealing with contaminant reaction times and parameter variability

Empirical validation of the diffusion model for recognition memory and a comparison of parameter-estimation methods

Empirical validation of the diffusion model for recognition memory and a comparison of parameter-estimation methods

The fallacy of placing confidence in confidence intervals

Estimating parameters of the diffusion model: Approaches to dealing with contaminant reaction times and parameter variability

Computer simulations of the ROUSE model: An analytic simulation technique and a comparison between the error variance—covariance and bootstrap methods for estimating parameter confidence

Similar Documents

Computer simulations of the ROUSE model: An analytic simulation technique and a comparison between the error variance—covariance and bootstrap methods for estimating parameter confidence

Comparison of methods for constructing confidence intervals of standardized indirect effects

Estimating confidence intervals for eigenvalues in exploratory factor analysis

Parametric and nonparametric bootstrap methods for meta-analysis

Estimating parameters of the diffusion model: Approaches to dealing with contaminant reaction times and parameter variability

Empirical validation of the diffusion model for recognition memory and a comparison of parameter-estimation methods

Empirical validation of the diffusion model for recognition memory and a comparison of parameter-estimation methods

The fallacy of placing confidence in confidence intervals

Estimating parameters of the diffusion model: Approaches to dealing with contaminant reaction times and parameter variability

Computer simulations of the ROUSE model: An analytic simulation technique and a comparison between the error variance—covariance and bootstrap methods for estimating parameter confidence