The Criterion

Results: 1531



#Item
761Response Prompting Procedures / Behavior / Evaluation methods / Education policy / Evaluation / Behavioural sciences / Educational psychology

WASC/NLSA Self-Study Report Category A: Organization for Student Learning A1. School Purpose Criterion Respond to the criterion (shown as a guide question) by answering the prompts (findings and support

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Source URL: www.acswasc.org

Language: English - Date: 2013-11-08 12:56:55
762Econometrics / Logistic regression / Actuarial science / Logit / Ordered logit / Akaike information criterion / Statistics / Categorical data / Regression analysis

Knee Injuries - Proportional Odds Models February 8, 2012 At the beginning the knee dataset is loaded: > > >

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Source URL: cran.r-project.org

Language: English - Date: 2014-11-11 11:39:44
763AICC / Mathematics / Model selection / Akaike information criterion / Algorithm

Introduction to the surface package Travis Ingram This tutorial walks through the steps of a SURFACE analysis using a simple demonstration data set. The main use of SURFACE is to construct a macroevolutionary adaptive la

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Source URL: cran.r-project.org

Language: English - Date: 2014-07-02 16:39:21
764Categorical data / Analysis of variance / Logistic regression / Actuarial science / Logit / Akaike information criterion / Exchangeable random variables / Generalized linear model / Generalized linear mixed model / Statistics / Regression analysis / Statistical models

Knee Data - Random Effects Logit Models February 8, 2012 First the knee dataset is loaded: > library(catdata) > data(knee) For the following models the data set is transformed into long format what

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Source URL: cran.r-project.org

Language: English - Date: 2014-11-11 11:39:44
765Educational psychology / Pedagogy / Behavior / Response Prompting Procedures / Evaluation methods / Teaching / Evaluation / Education / Behavioural sciences

WASC Self-Study Report Chapter IV: Self-Study Findings For each criterion, respond to the indicators and related prompts for each criterion and note the supporting evidence. Refer to the areas to analyze a

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Source URL: www.acswasc.org

Language: English - Date: 2014-10-31 13:30:37
766Ecology / Foxes / Island fox / Population viability analysis / Sensitivity analysis / Variance / Explained variation / Akaike information criterion / Survival analysis / Statistics / Data analysis / Biostatistics

Ecological Monographs, 79(1), 2009, pp. 77–108 Ó 2009 by the Ecological Society of America Incorporating ecological drivers and uncertainty into a demographic population viability analysis for the island fox VICTORIA

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Source URL: www.iws.org

Language: English - Date: 2011-12-29 14:18:43
767Educational psychology / Special education / Education reform / Inclusion / Response Prompting Procedures / Education / Philosophy of education / Education policy

WASC/NLSA Self-Study Report Category C: Support for Student Personal and Academic Growth C1. Student Connectedness Criterion Respond to the criterion (shown as a guide question) by answering the prompts

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Source URL: www.acswasc.org

Language: English - Date: 2013-11-08 12:56:59
768Statistical models / Data analysis / Minimum description length / Anomaly detection / Akaike information criterion / Information theory / Model selection / Statistics / Formal sciences / Data mining

Information-theoretic Learning and Data Mining Kenji Yamanishi The University of Tokyo, JAPAN Oct. 18th, 2009

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Source URL: www.jst.go.jp

Language: English - Date: 2010-11-01 01:10:41
769Econometrics / Multinomial logit / Logistic regression / Logit / Akaike information criterion / Statistics / Regression analysis / Categorical data

Preference for Political Parties - Multinomial Logit Model February 8, 2012 The dataset ”partydat” is built by reading the data as a matrix given in ”partypref”. >

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Source URL: cran.r-project.org

Language: English - Date: 2014-11-11 11:39:44
770Science / Statistics / Biology / Substitution model / Models of DNA evolution / Molecular clock / Akaike information criterion / Maximum parsimony / Sequence alignment / Computational phylogenetics / Bioinformatics / Phylogenetics

Syst. Biol. 63(1):31–54, 2014 © The Author(s[removed]Published by Oxford University Press, on behalf of the Society of Systematic Biologists. All rights reserved. For Permissions, please email: journals.permissions@oup

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Source URL: pryerlab.biology.duke.edu

Language: English - Date: 2014-01-10 01:22:33
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