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Bonferroni correction: A procedure for guarding against the rise in the probability of a type I error when performing the multiple signi?cance tests. To maintain probability of a type I error at some specific selected value α, each of the m tests to be done is judged against the signi?cance level, α=m. For a small number of concurrent tests (up to ?ve) this method gives an easy and acceptable answer to the problem of multiple testing. It is though highly conservative and not recommended if the large numbers of tests are to be applied, when one of many other multiple comparison procedures available is usually preferable.
Dear Experts, Please note that I''m doing a PhD in Business management under the title: Technology transfer and competitive advantage in Qatar oil and gas companies. It is a quant
Matching is the method of making a study group and a comparison group comparable with respect to the extraneous factors. Generally used in the retrospective studies when selecting
The Null Hypothesis - H0: There is no first order autocorrelation The Alternative Hypothesis - H1: There is first order autocorrelation Durbin-Watson statistic = 1.98307
Behrens Fisher problem : The difficulty of testing for the equality of the means of the two normal distributions which do not have the equal variance. Various test statistics have
Opreation research phase
Cointegration : The vector of not motionless time sequence is said to be cointegrated if the linear combination of the individual series is stationary. Facilitates suitable testing
The theory of measurement which recognizes that in any measurement situation there are multiple (actually infinite) sources of variation (known as facets in the theory), and that a
Genstat: The basic purpose piece of statistical software for the management and the analysis of data. The package incorporates the wide variety of data handling events and a wi
Captures recapture sampling : Another approach to a census for estimating the size of population, which operates by sampling the population number of times, identifying the individ
methods of determining trend in time series?
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