Luminescence dynamics in type-II GaAs/AlAs superlattices near the type-I to type-II crossover

Luminescence dynamics in type-II GaAs/AlAs superlattices near the type-I to type-II crossover.

Estimation for the Type-II Extreme Value Distribution Based on Progressive Type-II Censoring

In this paper, we discuss the statistical inference on the unknown parameters and reliability function of type-II extreme value (EVII) distribution when the observed data are progressively type-II censored. By applying EM algorithm, we obtain maximum likelihood estimates (MLEs). We also suggest approximate maximum likelihood estimators (AMLEs), which have explicit expressions. We provide Bayes ...

Statistical Evidences in Type-II Censored Data

In this article, we use a measure of expected true evidence for determine the required sample size in type-II censored experiments for obtaining statistical evidence in favor of one hypothesis about the exponential mean against another.

Demystifying Type I and Type II Errors

2010;31;209 Pediatrics in Review Jacky M. Jennings and Erica Sibinga Research and Statistics : Demystifying Type I and Type II Errors http://pedsinreview.aappublications.org/content/31/5/209 located on the World Wide Web at: The online version of this article, along with updated information and services, is http://pedsinreview.aappublications.org/content/suppl/2010/06/23/31.5.209.DC1.html Data ...

Understanding Type I and Type II Errors

• Type I error, also known as a “false positive”: the error of rejecting a null hypothesis when it is actually true. In other words, this is the error of accepting an alternative hypothesis (the real hypothesis of interest) when the results can be attributed to chance. Plainly speaking, it occurs when we are observing a difference when in truth there is none (or more specifically no statistical...