<commit_before># tsEva #

This MATLAB toolbox contains an implementation of the Transformed-Stationary (TS) methodology for non-stationary EVA as described in Mentaschi et al. (2016). In synthesis this approach consists in (i) transforming a non-stationary time series into a stationary one to which the stationary EVA theory can be applied; and (ii) reverse-transforming the result into a non-stationary extreme value distribution.

This toolbox is free of external dependencies, and contains calls for both the statistical analysis and the graphical rendering of the results.

A version working on MATLAB R2014b is available at the branch 0.1_R2014b of this project, and can be downloaded [here](https://bitbucket.org/menta78/tseva/get/0.1_R2014b.zip).
The subdirectory "test" in the toolbox contains a sample script which illustrates the features of the toolbox.

## References ##
[<NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME> and <NAME>. Non-stationary Extreme Value Analysis: a simplified approach for Earth science applications. Submitted to Hydrology and Earth System Sciences (HESS); 2016](http://www.hydrol-earth-syst-sci-discuss.net/hess-2016-65/)<commit_msg>README.md edited online with Bitbucket<commit_after># tsEva #

This MATLAB toolbox contains an implementation of the Transformed-Stationary (TS) methodology for non-stationary EVA as described in Mentaschi et al. (2016). In synthesis this approach consists in (i) transforming a non-stationary time series into a stationary one to which the stationary EVA theory can be applied; and (ii) reverse-transforming the result into a non-stationary extreme value distribution.

This toolbox is free of external dependencies, and contains calls for both the statistical analysis and the graphical rendering of the results.

A version working on MATLAB R2014b is available at the branch 0.1_R2014b of this project, and can be downloaded [here](https://bitbucket.org/menta78/tseva/get/0.1_R2014b.zip).
The subdirectory "test" in the toolbox contains a sample script which illustrates the features of the toolbox.

## References ##
[<NAME>., <NAME>., <NAME>., <NAME>., <NAME>., <NAME> <NAME>.: Non-stationary Extreme Value Analysis: a simplified approach for Earth science applications, Hydrol. Earth Syst. Sci. Discuss., doi:10.5194/hess-2016-65, in review, 2016](http://www.hydrol-earth-syst-sci-discuss.net/hess-2016-65/)
{'fraction_non_alphanumeric': 0.08305369127516779, 'fraction_numerical': 0.031879194630872486, 'mean_word_length': 5.037974683544304, 'pattern_counts': {'":': 0, '<': 17, '<?xml version=': 0, '>': 17, 'https://': 2, 'lorem ipsum': 0, 'www.': 2, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 2, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '32516', 'n_tokens_mistral': 723, 'n_tokens_neox': 633, 'n_words': 296}