Overview This package contains tools for performing univariate goodness-of-fit (GOF) statistical tests. Static methods for computing (or approximating) the distribution function F (x) of certain GOF test statistics, as well as their complementary distribution function ¯ F (x) = 1 − F (x), are implemented in classes FDist and FBar. Tools for computing the GOF test statistics and the correspondin...

This paper reports an empirical test of Schneider’s (1987) selection proposition that organizations select people who share the organization’s values. The values of 412 applicants to nine utility companies in the United Kingdom were captured and their fit to (1) the values of the organization as viewed by members of the Top Team (P–OV fit), (2) the values of the recruiting departments as viewed...

American National Standards Institute (ANSI) standard Z88.10, Respirator Fit Testing Methods, includes criteria to evaluate new fit-tests. The standard allows generated aerosol, particle counting, or controlled negative pressure quantitative fit-tests to be used as the reference method to determine acceptability of a new test. This study examined (1) comparability of three Occupational Safety a...

For any generalized linear model, the Pearson goodness of fit statistic is the score test statistic for testing the current model against the saturated model. The relationship between the Pearson statistic and the residual deviance is therefore the relationship between the score test and the likelihood ratio test statistics, and this clarifies the role of the Pearson statistic in generalized li...

Let X be the unique solution started from x0 of the stochastic differential equation dXt = θ(t, Xt)dBt + b(t, Xt)dt with B a standard Brownian motion. We consider an approximation of the volatility θ(t, Xt), the drift being considered as a nuisance parameter. The approximation is based on a discrete time observation of X and we study its rate of convergence as a process. A goodness-of-fit test ...

The most frequency used goodness of fit tests are based on measuring the distance between the theoretical distribution function and the empirical distribution function (EDF), but presence of outliers influences these tests strongly. In this study, we propose a simple robust method for goodness of fit test by using the “Forward Search” (FS) method. The FS method is a powerful general method for ...

We consider spherical data Xi noised by a random rotation εi ∈ SO(3) so that only the sample Zi = εiXi, i = 1, . . . , N is observed. We define a nonparametric test procedure to distinguish H0 : ”the density f of Xi is the uniform density f0 on the sphere” and H1 : ”‖f − f0‖2 ≥ CψN and f is in a Sobolev space with smoothness s”. For a noise density fε with smoothness index ν, we show that an ad...

1. Abstract: The construction of facial composites by assembling individual facial features is common in criminal investigations. Arguably, the best known such method is E-FIT (electronic facial identication technique). However, although humans have excellent facial recognition ability, it is widely recognised that they often have great difficulty recalling facial characteristics in sufficient ...

In this paper we propose a nonparametric test for conditional heteroskedasticity based on a new measure of nonparametric goodness-of-fit (R2). In analogy with the ANOVA tools for classical linear regression models, the nonparametric R2 is obtained for the local polynomial regression of the residuals from a parametric regression on some covariates. It is close to 0 under the null hypothesis of c...