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Buckley, Fred – College Mathematics Journal, 1987
Mathematical models that are used to solve facility location problems are presented. All involve minimizing some distance function. (MNS)
Descriptors: Algorithms, College Mathematics, Functions (Mathematics), Higher Education
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Cronk, Jeff; And Others – College Mathematics Journal, 1987
Algorithms to determine the optimal locations of emergency service centers in a given city are presented, with theorems and proofs. (MNS)
Descriptors: Algorithms, College Mathematics, Higher Education, Mathematical Models
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Nesher, Pearla – For the Learning of Mathematics, 1986
The conceptual difference between understanding and algorithmic performance is examined first. Then some dilemmas that flow from these distinctions are discussed. (MNS)
Descriptors: Algorithms, Cognitive Processes, Computation, Decimal Fractions
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Carraher, Terezinha Nunes; Schliemann, Analucia Dias – Journal for Research in Mathematics Education, 1985
Fifty Brazilian children aged seven-13 were individually given addition and subtraction exercises. Counting was the preferred procedure, with use of school-taught algorithms limited. Some children decomposed numbers into tens and units and then worked at both levels. They rarely referred to previous results when doing related exercises. (MNS)
Descriptors: Addition, Algorithms, Cognitive Processes, Educational Research
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Wallace, Edward D.; Chance, Joseph E. – Mathematics Teacher, 1986
Described is a simple algorithm that can be used for the input, arithmetic manipulation, and output of large integers in their exact representations. Three BASIC programs are included that apply this method to the problem of multiplication of large integers, computation of factorials, and the generation of palindromic integers. (MNS)
Descriptors: Algorithms, Computer Software, Integers, Mathematics Instruction
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Tsutakawa, Robert K.; Lin, Hsin Ying – Psychometrika, 1986
Item response curves for a set of binary responses are studied from a Bayesian viewpoint of estimating the item parameters. For the two-parameter logistic model with normally distributed ability, restricted bivariate beta priors are used to illustrate the computation of the posterior mode via the EM algorithm. (Author/LMO)
Descriptors: Algorithms, Bayesian Statistics, Estimation (Mathematics), Latent Trait Theory
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Hart, Eric W. – Mathematics Teacher, 1985
Considered are what discrete mathematics includes, some parallels and differences between new math and discrete mathematics (listed in a table), and lessons to be learned. A list of references is included. (MNS)
Descriptors: Algorithms, College Mathematics, Higher Education, Mathematics Curriculum
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Heine, M. H. – Information Processing and Management, 1984
Offers characterization of sign-transmission which is more general than conventional signal-transmission theory. Concepts and terminology, formal description of individual communications process, reconciliation with classical signal-detection theory, applications of sign-detection formalism to information retrieval on MEDLINE database, and a…
Descriptors: Algorithms, Cognitive Processes, Communication (Thought Transfer), Information Retrieval
Peer reviewed Peer reviewed
Carter, Philip; And Others – Journal of Experimental Child Psychology, 1983
Two experiments studied nine-year-olds, l3-year-olds, and adults in their encoding of two kinds of stimuli taken from a psychometric measure of spatial aptitude. The first experiment used letter-like stimuli; the second employed multi-element flags. (CI)
Descriptors: Adults, Age Differences, Algorithms, Children
Kenton, David – Online, 1984
The National Library of Medicine has discarded connect hour-only billing for a more equitable system, which distributes user costs by type and intensity of work performed and data delivered. User data (cost comparisons, interpolated input/output count per connect hours, connect hours per year) were analyzed and further improvements are planned.…
Descriptors: Algorithms, Comparative Analysis, Costs, Information Retrieval
Peer reviewed Peer reviewed
Wackerly, D. D.; Robinson, D. H. – Psychometrika, 1983
A statistical method for testing the agreement between a judge's assessment of an object or subject and a known standard is developed and shown to be superior to two other methods which appear in the literature. (Author/JKS)
Descriptors: Algorithms, Computer Programs, Judges, Measurement Techniques
van der Linden, Wim J. – 1997
In constrained adaptive testing, the numbers of constraints needed to control the content of the tests can easily run into the hundreds. Proper initialization of the algorithm becomes a requirement because the presence of large numbers of constraints slows down the convergence of the ability estimator. In this paper, an empirical initialization of…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
van der Linden, Wim J. – 1997
The case of adaptive testing under a multidimensional logistic response model is addressed. An adaptive algorithm is proposed that minimizes the (asymptotic) variance of the maximum-likelihood (ML) estimator of a linear combination of abilities of interest. The item selection criterion is a simple expression in closed form. In addition, it is…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
Thomas, Neal – 1993
Mislevy (1984, 1985) introduced an EM algorithm for estimating the parameters of a latent distribution model that is used extensively by the National Assessment of Educational Progress. Second order asymptotic corrections are derived and applied along with more common first order asymptotic corrections to approximate the expectations required by…
Descriptors: Algorithms, Elementary Secondary Education, Estimation (Mathematics), Evaluation Methods
van der Linden, Wim J.; Scrams, David J.; Schnipke, Deborah L. – 2003
This paper proposes an item selection algorithm that can be used to neutralize the effect of time limits in computer adaptive testing. The method is based on a statistical model for the response-time distributions of the test takers on the items in the pool that is updated each time a new item has been administered. Predictions from the model are…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Linear Programming
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