نتایج جستجو برای: variance ratio test

تعداد نتایج: 1335794  

2013
Stephen A. Mistler

For multilevel analyses (e.g., linear mixed models), researchers are often interested in pooling, interpreting, and testing both fixed effects and random effects. PROC MIANALYZE has two shortcomings in this regard. First, it cannot easily pool variance estimates. Second, the significance tests of these estimates are Wald-type tests that are inappropriate for testing variance estimates. Likeliho...

2010
Sascha Otto

This paper analyses the validity of the weak-form market efficiency, using the random-walk hypothesis for the six industrial base metals copper, aluminium, zinc, nickel, tin and lead traded at the London Metal Exchange. I analyse the behaviour of daily and weekly prices of the daily rolling three-month futures contracts, as these contracts exhibit the highest level of trading activity. In contr...

پایان نامه :0 1374

the following question poped up: is there any relationship between iranian high school efl learners reading comprehension and listening comprehension? then the following null hypothesis (ho) was developed to the test the above, mentioned question. "there is no relationship between high school efl learners reading comprehension and listening comprehension. for nearly 16 weeks, the experimental g...

Journal: :The Annals of Mathematical Statistics 1956

Journal: :Int. J. Math. Mathematical Sciences 2011
J. Martin van Zyl

It is shown that the likelihood ratio test for heteroscedasticity, assuming the Laplace distribution, gives good results for Gaussian and fat-tailed data. The likelihood ratio test, assuming normality, is very sensitive to any deviation from normality, especially when the observations are from a distribution with fat tails. Such a likelihood test can also be used as a robust test for a constant...

2013
M. A. Djauhari D. E. Herwindiati

In recent years, the use of vector variance as a measure of multivariate variability has received much attention in wide range of statistics. This paper deals with a more economic measure of multivariate variability, defined as vector variance minus all duplication elements. For high dimensional data, this will increase the computational efficiency almost 50 % compared to the original vector va...

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