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Showing 121 to 135 of 185 results Save | Export
Carlson, James E.; Timm, Neil H. – 1980
This paper presents two extensions of the full-rank multivariate linear model that are particularly useful in multivariate analysis of covariance (MANCOVA) and repeated measurements designs. After a review of the basic full-rank model, an extension is described which allows restrictions of a more general nature. This model is useful in the…
Descriptors: Analysis of Covariance, Data Analysis, Hypothesis Testing, Mathematical Formulas
Peer reviewed Peer reviewed
Guttman, Irwin; Olkin, Ingram – Journal of Educational Statistics, 1989
A model for student retention and attrition is presented. Focus is on alternative models for the "dampening" in attrition rates as educational programs progress. Maximum likelihood estimates for the underlying parameters in each model and a Bayesian analysis are provided. (TJH)
Descriptors: Bayesian Statistics, Grade Repetition, Mathematical Formulas, Mathematical Models
Peer reviewed Peer reviewed
Chen, Ye-Sho; And Others – Information Processing and Management, 1994
Investigates the relationships between the parameters of the Simon-Yule model and the shapes of three bibliometric distributions: Lotka's Law of Scientific Productivity; Bradford's Law of Bibliometric Scattering; and Zipf's Law of Word Frequency. The results indicate that the probability of a new entry determines the characteristics of all three…
Descriptors: Bibliometrics, Information Science, Information Utilization, Mathematical Formulas
Peer reviewed Peer reviewed
Aslamazov, Lev – Quantum, 1992
Discusses the hydrodynamic reasons why a riverbed meanders through a plain. Describes how water movement at a bend in a river causes erosion and changes in the riverbed. Provides a mathematical model to explain the periodic shape of meanders of a river in a plain. (MDH)
Descriptors: Enrichment Activities, Mathematical Formulas, Mathematical Models, Motion
Peer reviewed Peer reviewed
Bookstein, Abraham; And Others – Information Processing and Management, 1992
Describes the use of loglinear statistical models in the field of informetrics, especially for the analysis of information systems. A detailed example is given of developing a model based on loglinear analysis to determine book acquisition patterns in libraries, including mathematical considerations and algorithms. (19 references) (LRW)
Descriptors: Algorithms, Information Retrieval, Information Science, Information Systems
Peer reviewed Peer reviewed
Mazur, Zygmunt – Information Processing and Management, 1994
Discusses distributed information retrieval systems that take into account the weights of descriptors from thesauri. Topics addressed include a mathematical model for information retrieval subsystems; organization of inverted files; models for the distributed homogeneous information systems; a distributed information retrieval system based on…
Descriptors: Computer Networks, Information Retrieval, Information Systems, Mathematical Formulas
Peer reviewed Peer reviewed
Patterson, Jim – Physics Teacher, 2000
While it is most often the case that an understanding of physics can simplify mathematical calculations, occasionally mathematical precision leads directly to a better physical understanding of a situation. Presents an example of a mechanics problem in which careful mathematical derivation can lead directly to a deeper physical understanding of…
Descriptors: High Schools, Higher Education, Mathematical Formulas, Mathematical Models
Peer reviewed Peer reviewed
Tsutakawa, Robert K. – Journal of Educational Statistics, 1984
The EM algorithm is used to derive maximum likelihood estimates for item parameters of the two-parameter logistic item response curves. The observed information matrix is then used to approximate the covariance matrix of these estimates. Simulated data are used to compare the estimated and actual item parameters. (Author/BW)
Descriptors: Computer Simulation, Estimation (Mathematics), Latent Trait Theory, Mathematical Formulas
Peer reviewed Peer reviewed
Feldt, Leonard S. – Educational and Psychological Measurement, 1984
The binomial error model includes form-to-form difficulty differences as error variance and leads to Ruder-Richardson formula 21 as an estimate of reliability. If the form-to-form component is removed from the estimate of error variance, the binomial model leads to KR 20 as the reliability estimate. (Author/BW)
Descriptors: Achievement Tests, Difficulty Level, Error of Measurement, Mathematical Formulas
Peer reviewed Peer reviewed
Charter, Richard A. – Educational and Psychological Measurement, 1982
Practical formulas for several analysis of variance (ANOVA) designs and models are presented which make it possible for readers to compute strength of association measures without the use of complete ANOVA tables. (Author/PN)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Formulas, Mathematical Models
Peer reviewed Peer reviewed
Kim, Y. S.; And Others – American Journal of Physics, 1979
Using covarient harmonic oscillator formalism as an illustrative example, a method is proposed for illustrating the difference between the Poincare (inhomogeneous Lorentz) and homogeneous Lorentz groups. (BT)
Descriptors: Calculus, College Science, Higher Education, Mathematical Formulas
Peer reviewed Peer reviewed
Daniels, David S. – Mathematics Teacher, 1989
Discusses the use of scaling test scores for an algebra class. Provides example data, several equations used in scaling, and graphs. (YP)
Descriptors: Algebra, Equated Scores, Equations (Mathematics), Mathematical Concepts
Peer reviewed Peer reviewed
Fuhr, Norbert – Information Processing and Management, 1989
Describes three models for probabilistic indexing, all based on the Darmstadt automatic indexing approach, and presents experimental evaluation results for each. The discussion covers the improved retrieval effectiveness of probabilistic indexing over binary indexing, and suggestions for using this automatic indexing method with free text terms.…
Descriptors: Automatic Indexing, Comparative Analysis, Information Retrieval, Mathematical Formulas
Peer reviewed Peer reviewed
Burrell, Quentin L.; Fenton, Michael R. – Journal of the American Society for Information Science, 1993
Discusses the generalized inverse Gaussian-Poisson (GIGP) process for informetric modeling. Negative binomial distribution is discussed, construction of the GIGP process is explained, zero-truncated GIGP is considered, and applications of the process with journals, library circulation statistics, and database index terms are described. (50…
Descriptors: Bibliometrics, Databases, Library Circulation, Library Statistics
Peer reviewed Peer reviewed
Kennedy, Paul A.; And Others – Mathematics and Computer Education, 1991
Presented is a method for factoring quadratic equations that helps the teacher demonstrate how to eliminate guessing through establishment of the connection between multiplication and factoring. Included are examples that allow the student to understand the link between the algebraic and the pictorial representations of quadratic equations. (JJK)
Descriptors: Algebra, Equations (Mathematics), Mathematical Formulas, Mathematical Models
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