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Tague, Jean M. – Information Storage and Retrieval, 1973
A probabilistic model for interactive retrieval is presented. Bayesian statistical decision theory principles are applied: use of prior and sample information about the relationship of document descriptions to query relevance; maximization of expected value of a utility function, to the problem of optimally restructuring search strategies in an…
Descriptors: Bayesian Statistics, Information Retrieval, Mathematical Models, Probability
Takahama, Tadahiko – Information Storage and Retrieval, 1973
The theoretical model of a document retrieval system is described by giving logical meaning to the vagueness and the similarity characteristic to such systems, with the frequency of occurrences of keywords and the relations among them taken into consideration. (6 references) (Author/SJ)
Descriptors: Information Retrieval, Information Systems, Keywords, Mathematical Models
Peer reviewedGrams, William; Van Belle, Gerald – Psychometrika, 1972
A formula for the ratio of the variance of the pooled transformed data under departure from the binomial assumption to the variance of the pooled transformed data when the binomial assumption holds is given. (Authors)
Descriptors: Hypothesis Testing, Mathematical Models, Memory, Transformations (Mathematics)
Peer reviewedBookstein, Abraham – Library Quarterly, 1972
This paper attempts to analyze the problem of congestion, using a mathematical model shown to be of value in other similar applications. Three criteria of congestion are considered, and it is found that the conclusion one can draw is sensitive to which of these criteria is paramount. (8 references) (Author/NH)
Descriptors: Catalogs, Library Catalogs, Mathematical Models, Use Studies
Peer reviewedEtaugh, Alfred F.; Etaugh, Claire Falk – Developmental Psychology, 1972
Authors demonstrate that a simple algebraic analysis renders previous interpretations superfluous, making overlap" a tautology and not a hypothesis. (Authors/MB)
Descriptors: Intelligence Quotient, Investigations, Mathematical Models, Measurement Techniques
Peer reviewedSchonemann, Peter H. – Psychometrika, 1971
A simplified proof of a lemma by Ledermann, which lies at the core of the factor indeterminacy issue, is presented. (Author)
Descriptors: Correlation, Factor Analysis, Mathematical Models, Orthogonal Rotation
Peer reviewedGreeno, James G.; And Others – Psychometrika, 1971
Earlier Analyses are shown to involve special cases of the equations developed here; also that a general four-state chain has the same parameter space as an all-or-none model if and only if its representation with an observable absorbing state is lumpable into a Markov chain with three states. (Author/GS)
Descriptors: Learning Theories, Mathematical Models, Probability, Research Methodology
Peer reviewedWaggoner, Paul E. – BioScience, 1971
Presents a model for the removal of ozone from air masses by vegetation. Compares simulation with Los Angeles data, and suggests needed research. (AL)
Descriptors: Air Pollution, Botany, Environment, Mathematical Models
Peer reviewedKnapp, Thomas R. – American Educational Research Journal, 1970
Descriptors: Analysis of Variance, Mathematical Models, Statistical Analysis
Bullock, Nicholas; And Others – Architect Rev, 1970
The authors, members of a group that has been studying university planning since 1965, describe a mathematical, computerized model of university activities which they are now constructing, using data from the University of Reading. (JW)
Descriptors: Campus Planning, Mathematical Models, Systems Approach, Universities
Terranova, Carmelo – Educ Psychol Meas, 1970
Descriptors: Analysis of Variance, Computer Programs, Mathematical Models
Peer reviewedRamsay, J. O. – Psychometrika, 1982
Data are often a continuous function of a variable such as time observed over some interval. One or more such functions might be observed for each subject. The extension of classical data analytic techniques to such functions is discussed. (Author/JKS)
Descriptors: Data Analysis, Mathematical Models, Multivariate Analysis, Psychometrics
Peer reviewedRiccia, Giacomo Della; Shapiro, Alexander – Psychometrika, 1982
Some mathematical aspects of minimum trace factor analysis (MTFA) are discussed. The uniqueness of an optimal point of MTFA is proved, and necessary and sufficient conditions for any particular point to be optimal are given. The connection between MTFA and classical minimum rank factor analysis is discussed. (Author/JKS)
Descriptors: Data Analysis, Factor Analysis, Mathematical Models, Matrices
Peer reviewedDeSarbo, Wayne S.; And Others – Psychometrika, 1982
A variety of problems associated with the interpretation of traditional canonical correlation are discussed. A response surface approach is developed which allows for investigation of changes in the coefficients while maintaining an optimum canonical correlation value. Also, a discrete or constrained canonical correlation method is presented. (JKS)
Descriptors: Correlation, Mathematical Models, Multivariate Analysis, Statistical Studies
Peer reviewedKarpman, Mitchell B. – Educational and Psychological Measurement, 1983
This paper explains how a major statistical package (BMDP) can be used to produce partial, semipartial, or bipartial set correlation in terms of a procedure outlined by Karpman (1980). (BW)
Descriptors: Computer Programs, Correlation, Mathematical Models, Multivariate Analysis


