In the analysis of clustered data with covariates measured with error, a problem of common interest is to test for correlation within clusters and heterogeneity across clusters. We examined this problem in the framework of generalized linear mixed measurement error models. We propose using the simulation extrapolation (SIMEX) method to construct a score test for the null hypothesis that all var...

Roller bearing is one of the most widely used and critical elements in rotating machinery. In consequence, bearing fault diagnosis in machines, as well as to discriminate the different fault conditions have been a great interest. In this study, firstly, analytical model of a shaft-ball bearing system is developed. The shaft is assumed to be perfectly rigid and uniform, and supported by two radi...

The nonadult stages, egg strings, eggs, larvae, and cysts of Gordius robustus, Paragordius varius, and Chordodes morgani are described morphometrically. The goal was to document the differences between species and to evaluate the usefulness of morphometrics in species identification. In concert, multivariate analysis of variance (MANOVA) and univariate analysis of variance (ANOVA, a posteriori ...

Nonlinear mixed-effects models are very useful in analyzing repeated-measures data and have received a lot of attention in the field. It is of common interest to test for the correlation within clusters and the heterogeneity across different clusters. In this paper, we address these problems by proposing a class of score tests for the null hypothesis that all components of withinand between-sub...

Location S1A1 S1A2 S2A1 S2A2 Fig. 1 Design for the estimation of the random components of uncertainty arising from both the sampling and the analytical procedures. (A) Balanced design. (B) Unbalanced design. An empirical estimation of the random components of measurement uncertainty arising from the sampling and analytical processes can be made via an experiment involving replication. Analysis ...

Recently, Sakai proposed two methods for determining the topic set size n for a new test collection based on variance estimates from past data: the first method determines the minimum n to ensure high statistical power [22], while the second method determines the minimum n to ensure tight confidence invervals [23]. These methods are based on statistical techniques described by Nagata [15]. Whil...

Analysis of variance (ANOVA) is a commonly used statistical analysis in agricultural experiments. Additivity, variance homogeneity, and normality are often considered prerequisites for ANOVA (Cochran, 1943; Eisenhart, 1947). The interpretation of ANOVA is valid when the random errors are independently distributed according to a normal distribution with zero mean and an unknown but fixed varianc...

ABSTRACT The SAS ® procedure MIXED provides a single tool for analyzing a large array of models used in statistics, especially experimental design, through the use of REML estimation. A strategy for identifying mixed models is followed by a description of REML estimation along with a simple example that illustrates its advantages. A comparison of some of the available tests for variance compone...

among the several non-conventional processes, electrical discharge machining (edm) is the most widely and successfully applied for the machining of conductive parts. in this technique, the tool has no mechanical contact with the work piece and also the hardness of work piece has no effect on the machining pace. hence, this technique could be employed to machine hard materials such as super allo...

McKay JL, Welch TD, Vidakovic B, Ting LH. Statistically significant contrasts between EMG waveforms revealed using wavelet-based functional ANOVA. J Neurophysiol 109: 591–602, 2013. First published October 24, 2012; doi:10.1152/jn.00447.2012.—We developed wavelet-based functional ANOVA (wfANOVA) as a novel approach for comparing neurophysiological signals that are functions of time. Temporal re...