Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 11 |
Descriptor
Mathematical Models | 64 |
Statistical Data | 64 |
Statistical Analysis | 20 |
Research Methodology | 14 |
Goodness of Fit | 13 |
Tables (Data) | 12 |
Data Analysis | 10 |
Higher Education | 10 |
Measurement Techniques | 7 |
Simulation | 7 |
Comparative Analysis | 6 |
More ▼ |
Source
Author
Publication Type
Education Level
Postsecondary Education | 3 |
Adult Education | 2 |
Elementary Secondary Education | 2 |
Higher Education | 2 |
High Schools | 1 |
Secondary Education | 1 |
Audience
Researchers | 6 |
Policymakers | 1 |
Practitioners | 1 |
Students | 1 |
Laws, Policies, & Programs
Elementary and Secondary… | 1 |
Assessments and Surveys
ACT Assessment | 1 |
National Longitudinal Study… | 1 |
Schools and Staffing Survey… | 1 |
What Works Clearinghouse Rating
Langston, Randall; Wyant, Robert; Scheid, Jamie – Strategic Enrollment Management Quarterly, 2016
Both an art and a science, enrollment projections have become a major component to effective college and university fiscal planning. With stagnant or declining state budget support for public higher education along with an increasing emphasis on revenue generation, never before has predicting the size of an entering class become more imperative.…
Descriptors: Enrollment Management, Strategic Planning, Statistical Data, Predictor Variables
Rollinson, Joseph; Brunskill, Emma – International Educational Data Mining Society, 2015
At their core, Intelligent Tutoring Systems consist of a student model and a policy. The student model captures the state of the student and the policy uses the student model to individualize instruction. Policies require different properties from the student model. For example, a mastery threshold policy requires the student model to have a way…
Descriptors: Prediction, Models, Educational Policy, Intelligent Tutoring Systems
Xiang, Rui – ProQuest LLC, 2013
A key issue of cognitive diagnostic models (CDMs) is the correct identification of Q-matrix which indicates the relationship between attributes and test items. Previous CDMs typically assumed a known Q-matrix provided by domain experts such as those who developed the questions. However, misspecifications of Q-matrix had been discovered in the past…
Descriptors: Diagnostic Tests, Cognitive Processes, Matrices, Test Items
Baydogan, Mustafa Gokce – ProQuest LLC, 2012
Temporal data are increasingly prevalent and important in analytics. Time series (TS) data are chronological sequences of observations and an important class of temporal data. Fields such as medicine, finance, learning science and multimedia naturally generate TS data. Each series provide a high-dimensional data vector that challenges the learning…
Descriptors: Mathematical Models, Multivariate Analysis, Statistical Data, Computation
National Centre for Vocational Education Research (NCVER), 2011
This publication presents estimates of apprentice and trainee activity in Australia for the September quarter 2010. The figures in this publication are derived from the National Apprentice and Trainee Collection no.66 (December 2010 estimates). The most recent figures in this publication are estimated (those for training activity from the March…
Descriptors: Mathematical Models, Foreign Countries, Vocational Education, Trainees
National Centre for Vocational Education Research (NCVER), 2012
This publication presents estimates of apprentice and trainee activity in Australia for the December quarter 2011. The figures in this publication are derived from the National Apprentice and Trainee Collection no.71 (March 2012 estimates). The most recent figures in this publication are estimated (those for training activity from the June quarter…
Descriptors: Mathematical Models, Foreign Countries, Vocational Education, Trainees
National Centre for Vocational Education Research (NCVER), 2012
This publication presents estimates of apprentice and trainee activity in Australia for the June quarter 2012. The figures in this publication are derived from the National Apprentice and Trainee Collection no.73 (September 2012 estimates). The most recent figures in this publication are estimated (those for training activity from the December…
Descriptors: Vocational Education, Trainees, Foreign Countries, Mathematical Models
National Centre for Vocational Education Research (NCVER), 2013
This publication presents estimates of apprentice and trainee activity in Australia for the September quarter 2012. The figures in this publication are derived from the National Apprentice and Trainee Collection no.74 (December 2012 estimates). The most recent figures in this publication are estimated (those for training activity from the March…
Descriptors: Trainees, Foreign Countries, Mathematical Models, Expenditures
Mills, Jonathan N. – Journal of Education Finance, 2013
This article examines the impacts of Arkansas charter schools on the academic achievement of participating students. Our findings are that charter schools have small but statistically significant, negative impacts on student achievements for both math and literacy. Such negative effects, however, tend to decline with the number of years of charter…
Descriptors: Open Enrollment, Charter Schools, Academic Achievement, Statistical Significance
Actuarial Foundation, 2012
The purpose of these modules is to provide an introduction to the world of probability and statistics to accelerated mathematics students at the high school level. The materials are centered on the fictional town of Happy Shores, a coastal community which is at risk for hurricanes. Actuaries at an insurance company figure out the risks and…
Descriptors: Mathematical Concepts, Probability, Statistics, Learning Modules
Briggs, Ann R. J. – Management in Education, 2008
Modelling of statistical data is a well established analytical strategy. Statistical data can be modelled to represent, and thereby predict, the forces acting upon a structure or system. For the rapidly changing systems in the world of education, modelling enables the researcher to understand, to predict and to enable decisions to be based upon…
Descriptors: Mathematical Models, Statistical Data, Foreign Countries, Cooperation
Maiti, Alakes; Samanta, G. P. – International Journal of Mathematical Education in Science and Technology, 2005
This paper reports on studies of the deterministic and stochastic behaviours of a predator-prey system with prey-dependent response function. The first part of the paper deals with the deterministic analysis of uniform boundedness, permanence, stability and bifurcation. In the second part the reproductive and mortality factors of the prey and…
Descriptors: Statistical Data, Simulation, Animals, Mathematical Models

Drake, Miriam A. – College and Research Libraries, 1976
Forecasting techniques developed by government and industry are being applied to various library statistics. These techniques are explained and examples of their use discussed. (Author)
Descriptors: College Libraries, Growth Patterns, Library Planning, Mathematical Models
Elashoff, Janet Dixon; Elashoff, Robert M. – 1970
This paper introduces a model for describing outliers (observations which are extreme in some sense or violate the apparent pattern of other observations) in linear regression which can be viewed as a mixture of a quadratic and a linear regression. The maximum likelihood estimators of the parameters in the model are derived and their asymptotic…
Descriptors: Correlation, Mathematical Models, Multiple Regression Analysis, Research Methodology

Regal, Ronald R.; Larntz, Kinley – Psychometrika, 1978
Models relating individual and group problem solving solution times under the condition of limited time (time limit censoring) are presented. Maximum likelihood estimation of parameters and a goodness of fit test are presented. (Author/JKS)
Descriptors: Goodness of Fit, Hypothesis Testing, Mathematical Models, Problem Solving