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B0233
Title: Two-sample change-point analysis Authors:  Zdenek Hlavka - Charles University (Czech Republic) [presenting]
Marie Huskova - Charles University (Czech Republic)
Abstract: Applications of change-point analysis are numerous: many authors studied change-points in mean, variance, regression coefficients, or changes occurring in time series. In contrast to the mainstream of existing literature concerning mostly one-sample problems, we are interested in the investigation of differences observed between two independent random samples. One possible area of application are gender specific differences observed between growth curves. As an illustration, we describe a simple two-sample gradual change analysis and show that the two-sample change-point approach leads to more reasonable and more powerful tests than application of standard two-sample $t$-test in each age category.