Uncertainty theory is a branch of mathematics that deals with human uncertainty, and uncertain variable is used to model an uncertain quantity. Uncertainty exists not only in real quantities but also in complex quantities. Complex uncertain variable is mainly used to model a complex uncertain quantity. In uncertainty theory, inverse uncertainty distribution provides an easy way to calculate exp...

this study compared the effects of neurofeedback and physical practices on performance and retention of dart throwing skill. 24 subjects were selected by convenience sampling method from female physical education students of urmia university who were all right-handed with no history of neurofeedback training and dart throwing. they were divided to three groups: physical practice, neurofeedback ...

A key issue in various applications of analysis of variance is testing for interaction and the interpretation of resulting analysis of variance tables. In this note is demonstrated that for a two-way ANOVA, incorporating interactions or not may have a dramatic influence when considering the usual statistical tests for normality of residuals. The effect of numerical rounding is also discussed.

Statistical methods for categorical data, such as loglinear models and logistic regression, represent discrete analogs of the analysis of variance and regression methods for continuous response variables. However. while graphical display techniques are common adjuncts to analysis of variance and regression, methods for plotting contingency table data are not as widely used. This paper provides ...

Statistical methods for categorical data. such as loglinear models and logistic regression, represent discrete analogs of the analysis of variance and regression methods for 'ontinuous response variables. However. while graphical display techniques are common adjuncts to analysis of ~~-variance and regression. methods for plotting contingency table data are not as widely used. This paper provid...

In this paper we consider variance components and other models for repeated measures in which a general transformation is applied to the response variable. Using Cox and Reid's concept of parameter orthogonality (1987, JRSS B 49, 1-18) and some approximations to the information matrix we show that the intraclass correlation coe cient in the one-way model is robust to the choice of transformatio...

function/sub-system At this level of the AH, there are 12 variables that describe the state of the microworld: MO1, EI1, EO1, M1, E1, MI1, MO2, EI2, EO2, M2, E2 and MI2 (see Bisantz and Vicente 1994). With the addition of time, they form a 13-dimensional space. Multi-variance is de®ned in the same way as variance at the goal level, except thatthe variables are normalized with respect to the...