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McSweeney, Maryellen; Schmidt, William H. – Journal of Educational Statistics, 1977
The relationship between quantitative predictor variables and the probability of occurrence of one or more levels of a qualitative criterion variable can be analyzed by quantal response techniques. This paper presents and discusses two quantal response models, comparing them to multiple linear regression and discriminant analysis. (Author/JKS)
Descriptors: Discriminant Analysis, Mathematical Models, Multiple Regression Analysis, Predictor Variables
Meyer, Rochelle Wilson – MATYC Journal, 1978
The author uses mathematical models that involve only algebra and a few basic ideas in discrete probability to describe the frequency of conception in large human societies. A number of calculations which can be done by students as exercises are given. (MN)
Descriptors: Abortions, Algebra, College Mathematics, Contraception
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Eaves, David – Journal of Multivariate Analysis, 1976
Vector sum of a white noise in an unknown hyperspace and an Ornstein-Uhlenbeck process in an unknown line is observed through sharp linear test functions over a finite time span. Parameters associated with white noise are determinable and index measure-equivalence classes in relevant sample space. Intraclass relative density provides a basis for…
Descriptors: Analysis of Covariance, Bayesian Statistics, Diffusion, Mathematical Models
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Kwok, K. L. – Journal of the American Society for Information Science, 1985
Introduces a new model of viewing documents based on citing-cited relationship between them. Using Bayes' decision theory, it is shown how source document may be indexed and weighted by relevant cited document features, corresponding to one pass relevance feedback Model 1 (probabilistic indexing) or Model 2 (probabilistic retrieval). (24…
Descriptors: Citations (References), Feedback, Indexing, Information Retrieval
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Burdick, David L. – Mathematics Teacher, 1973
Descriptors: College Mathematics, Instruction, Mathematical Models, Mathematics
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Stacy, E. Webb, Jr. – Evaluation and Program Planning: An International Journal, 1981
The use of prevalence data is discussed to help find the best way to separate at-risk and not-at-risk groups. Implications of the data being distributed normally are also discussed and several examples, including one with a nonnormal distribution, are given. (Author/GK)
Descriptors: High Risk Persons, Incidence, Mathematical Models, Mental Health Programs
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Hodges, J. L., Jr.; And Others – Journal of Educational Statistics, 1990
An Edgeworth approximation for accurate significance probabilities for the Wilcoxon two-sample test is substantially simplified. A method is developed that allows quick calculations of very accurate probabilities. Exact formulas are given for most of the remaining cases, and tables are presented comparing the new simplification to likely…
Descriptors: Equations (Mathematics), Mathematical Models, Probability, Sampling
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Nelson, Michael J. – Journal of Documentation, 1989
Presents a probability model of the occurrence of index terms used to derive discrete distributions which are mixtures of Poisson and negative binomial distributions. These distributions give better fits than the simpler Zipf distribution, have the advantage of being more explanatory, and can incorporate a time parameter if necessary. (25…
Descriptors: Goodness of Fit, Mathematical Models, Probability, Statistical Distributions
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Dzhafarov, Ehtibar N. – Psychometrika, 1993
A systematic investigation of the Grice modeling scheme for response time (RT) clarifies fundamental notions about RT modeling. The analysis presented can be used to determine what in a certain RT model constitutes a set of empirically testable assumptions and what is merely an arbitrary choice of mathematical language. (SLD)
Descriptors: Equations (Mathematics), Evaluation Criteria, Mathematical Models, Probability
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McDowell, J. J. – Journal of the Experimental Analysis of Behavior, 2004
Darwinian selection by consequences was instantiated in a computational model that consisted of a repertoire of behaviors undergoing selection, reproduction, and mutation over many generations. The model in effect created a digital organism that emitted behavior continuously. The behavior of this digital organism was studied in three series of…
Descriptors: Reinforcement, Models, Intervals, Behavior
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Levine, Douglas W.; Rockhill, Beverly – Teaching Statistics: An International Journal for Teachers, 2006
We focus on the problem of ignoring statistical independence. A binomial experiment is used to determine whether judges could match, based on looks alone, dogs to their owners. The experimental design introduces dependencies such that the probability of a given judge correctly matching a dog and an owner changes from trial to trial. We show how…
Descriptors: Probability, Statistical Analysis, Hypothesis Testing, Mathematical Models
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Ojeda, Mario Miguel; Sahai, Hardeo – International Journal of Mathematical Education in Science and Technology, 2002
Students in statistics service courses are frequently exposed to dogmatic approaches for evaluating the role of randomization in statistical designs, and inferential data analysis in experimental, observational and survey studies. In order to provide an overview for understanding the inference process, in this work some key statistical concepts in…
Descriptors: Probability, Data Analysis, Sampling, Statistical Inference
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Huang, Yueh-Min; Huang, Tien-Chi; Wang, Kun-Te; Hwang, Wu-Yuin – Educational Technology & Society, 2009
The ability to apply existing knowledge in new situations and settings is clearly a vital skill that all students need to develop. Nowhere is this truer than in the rapidly developing world of Web-based learning, which is characterized by non-sequential courses and the absence of an effective cross-subject guidance system. As a result, questions…
Descriptors: Markov Processes, Transfer of Training, Probability, Internet
Samejima, Fumiko – 1983
A general model for the homogeneous case of the continuous response is proposed. The model is an expansion and generalization of the one proposed by the author in 1974, in which the open response situation is dealt with. In this generalized model, the closed response situation is dealt with, and it includes the model for the open response…
Descriptors: Estimation (Mathematics), Latent Trait Theory, Mathematical Models, Probability
Bogartz, Richard S. – 1965
This paper is concerned with memory functions in sequentially structured behavior. Twenty-five 4- and 5-year-old preschool children participated in a prediction experiment in which a stack of cards (each card alternately having a patch of red or green tape on it) was displayed to the child. The child was presented with a card and asked to predict…
Descriptors: Learning Processes, Mathematical Models, Memory, Prediction
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