Testing linearity and modelling nonlinear time series
Timo Teräsvirta (1994)
Kybernetika
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Displaying similar documents to “Testing on the recurrence of coefficients in the linear regressional model.”
Testing linearity and modelling nonlinear time series
Detecting non linearity a review
Dominique Guegan (1990)
Statistique et analyse des données
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F and selective F tests with balanced cross-nesting and associated models
Célia Nunes, Iola Pinto, João Tiago Mexia (2006)
Discussiones Mathematicae Probability and Statistics
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F tests and selective F tests for fixed effects part of balanced models with cross-nesting are derived. The effects of perturbations in the numerator and denominator of the F statistics are considered.
Selective F tests for sub-normal models
Célia Maria Pinto Nunes, João Tiago Mexia (2003)
Discussiones Mathematicae Probability and Statistics
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F tests that are specially powerful for selected alternatives are built for sub-normal models. In these models the observation vector is the sum of a vector that stands for what is measured with a normal error vector, both vectors being independent. The results now presented generalize the treatment given by Dias (1994) for normal fixed-effects models, and consider the testing of hypothesis on the ordering of mean values and components.
The and the Peas: An Intuitive Modeling Approach to Hypothesis Testing
C. Neuhauser, E. Stanley (2011)
Mathematical Modelling of Natural Phenomena
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We propose a novel approach to introducing hypothesis testing into the biology curriculum. Instead of telling students the hypothesis and what kind of data to collect followed by a rigid recipe of testing the hypothesis with a given test statistic, we ask students to develop a hypothesis and a mathematical model that describes the null hypothesis. Simulation of the model under the null hypothesis allows students to compare their experimental...
Testing in stationary models based on divergences of observed and theoretical frequencies
María Luisa Menéndez, Domingo Morales, Leandro Pardo, Igor Vajda (1997)
Kybernetika
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A simple statistic to test generalized palindromic symmetry model in a 4x4 contingency table.
Sadao Tomizawa (1993)
Qüestiió
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For a 4x4 contingency table, this note gives a simple statistic to test the goodness-of-fit of the generalized palindromic symmetry (GPS) model considered by McCullagh (1978). Also an asymptotic confidence interval for a parameter of interest in the GPS model is given. Two sets of unaided vision data are used as example.
One sample tests for the location of modes of nonnormal data.
Carolan, Anthony M., Rayner, J.C.W. (2001)
Journal of Applied Mathematics and Decision Sciences
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Behaviour of higher-order approximations of the tests in the single parameter Cox proportional hazards model
Aneta Andrášiková, Eva Fišerová (2020)
Applications of Mathematics
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Survival analysis is applied in a wide range of sectors (medicine, economy, etc.), and its main idea is based on evaluating the time until the occurrence of an event of interest. The effect of some particular covariates on survival time is usually described by the Cox proportional hazards model and the statistical significance of the impact of covariates is verified by the likelihood ratio test, the Wald test, or the score test. In addition to standard tests, appropriate higher-order...