doi:10.1007/s10651-022-00539-2engCastillo Mateo, JorgeDistribution-free changepoint detection tests based on the breaking of recordsART-2022-130160The analysis of record-breaking events is of interest in fields such as climatology, hydrology or anthropology. In connection with the record occurrence, we propose three distribution-free statistics for the changepoint detection problem. They are CUSUM-type statistics based on the upper and/or lower record indicators observed in a series. Using a version of the functional central limit theorem, we show that the CUSUM-type statistics are asymptotically Kolmogorov distributed. The main results under the null hypothesis are based on series of independent and identically distributed random variables, but a statistic to deal with series with seasonal component and serial correlation is also proposed. A Monte Carlo study of size, power and changepoint estimate has been performed. Finally, the methods are illustrated by analyzing the time series of temperatures at Madrid, Spain. The R package RecordTest publicly available on CRAN implements the proposed methods.2022http://zaguan.unizar.es/record/11897510.1007/s10651-022-00539-2http://zaguan.unizar.es/record/118975oai:zaguan.unizar.es:118975info:eu-repo/grantAgreement/ES/DGA/E46-20Rinfo:eu-repo/grantAgreement/ES/MICINN/PID2020-116873GB-I00ENVIRONMENTAL AND ECOLOGICAL STATISTICS 29, 3 (2022), 655–676byhttp://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccess