10.1 The Chi-square Goodness of Fit Test. The general area of nonparametric statistical inference deals with statistical procedures such as hypothesis testing, point estimation and confidence intervals in problems where the parent distribution has no known functional form. For one reason or another, the chi-square goodness of fit test is considered to be in this area, and so we present it here....

The multivariate asymptotic distribution of sequential Chi-square test statistics is investigated. It is shown that: (a) when sequential Chi-square statistics are calculated for nested models on the same data, the statistics have an asymptotic intercorrelation which may be expressed in closed form, and which is, in many cases, quite high; and (b) sequential Chi-square difference tests are asymp...

The information inequality has been shown to be an effective tool for providing lower bounds for the minimax risk. Bounds based on the chisquare distance can sometimes offer a considerable improvement especially when applied iteratively. This paper compares these two methods in four examples including the bounded normal mean problem as well as obervations from a Poisson distribution.

The Chi square test is a statistical test which measures the association between two categorical variables. A working knowledge of tests of this nature are important for the chiropractor and osteopath in order to be able to critically appraise the literature.

the main concern of this study was communication strategies (css) which are used to compensate for communication breakdown. the goals of this study were to examine whether proficiency level of iranian students had any relationship with their choice of css. this research was descriptive in nature. the participants were 15 pre-intermediate and 14 intermediate efl learners between 16 to 21years ol...