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Linear mixed models (LMM) are frequently used to analyze repeated measures data, because they are more flexible to modelling the correlation within-subject, often present in this type of data. The most popular LMM for continuous responses assumes that both the random effects and the...
Persistent link: https://www.econbiz.de/10005492194
Because it is easy to compute from three common statistics (minimum, maximum, standard deviation) the studentized range is a useful test for non-normality when the original data are unavailable. For samples from symmetric populations, the studentized range allows an assessment of kurtosis with...
Persistent link: https://www.econbiz.de/10005458142
In this paper we consider and propose some confidence intervals for estimating the mean or difference of means of skewed populations. We extend the median t interval to the two sample problem. Further, we suggest using the bootstrap to find the critical points for use in the calculation of...
Persistent link: https://www.econbiz.de/10004966839
Skew-normal distribution is a class of distributions that includes the normal distributions as a special case. In this paper, we explore the use of Markov Chain Monte Carlo (MCMC) methods to develop a Bayesian analysis in a multivariate, null intercept, measurement error model [R. Aoki, H....
Persistent link: https://www.econbiz.de/10005639827
Control charts are one of the most important methods in industrial process control. The acceptance control chart is generally applied in situations when an X-super-¯ chart is used to control the fraction of conforming units produced by the process and where 6-sigma spread of the process is...
Persistent link: https://www.econbiz.de/10005278896
For testing normality we investigate the power of several tests, first of all, the well-known test of Jarque & Bera (1980) and furthermore the tests of Kuiper (1960) and Shapiro & Wilk (1965) as well as tests of Kolmogorov-Smirnov and Cramer-von Mises type. The tests on normality are based,...
Persistent link: https://www.econbiz.de/10005278900