News Help Institutional access
Back to results
Bibliographic record · Consultation and access
Artículo

Statsmodels: Econometric and Statistical Modeling with Python

Skipper Seabold; Josef Perktold · Proceedings of the Python in Science Conferences · 2010

Resource page
Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.
Author / responsible party
Skipper Seabold; Josef Perktold
Publisher
Proceedings of the Python in Science Conferences
Year
2010
Language
English

Resource access

Open the content from the main option or choose another available source.

OpenAlex OpenAlex Works
Entrar por OpenAlex
Main access

Resource page

Resource reference page. Full text availability has not been automatically confirmed.
Open resource

Summary

Descripción general del contenido del recurso.

Statsmodels is a library for statistical and econometric analysis in Python. This paper discusses the current relationship between statistics and Python and open source more generally, outlining how the statsmodels package fills a gap in this relationship. An overview of statsmodels is provided, including a discussion of the overarching design and philosophy, what can be found in the package, and some usage examples. The paper concludes with a look at what the future holds.

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

Seabold, S. & Perktold, J. (2010). Statsmodels: Econometric and Statistical Modeling with Python. https://doi.org/10.25080/majora-92bf1922-011

MLA

Seabold, Skipper, and Josef Perktold. "Statsmodels: Econometric and Statistical Modeling with Python." 2010. https://doi.org/10.25080/majora-92bf1922-011.

Chicago

Seabold, Skipper and Josef Perktold. 2010. "Statsmodels: Econometric and Statistical Modeling with Python.". https://doi.org/10.25080/majora-92bf1922-011.

Harvard

Seabold, S. and Perktold, J. 2010, Statsmodels: Econometric and Statistical Modeling with Python, Proceedings of the Python in Science Conferences, available at: https://doi.org/10.25080/majora-92bf1922-011 [Accessed 9 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

RIS BibTeX

Resource details

Bibliographic information to help confirm that this is the correct material.

Title
Statsmodels: Econometric and Statistical Modeling with Python
Author / contributors
Skipper Seabold; Josef Perktold
Publisher
Proceedings of the Python in Science Conferences
Publication year
2010
Language
English

Subjects

Explore related resources through these subjects.

Python (programming language); Computer science; Open source; Statistical analysis; Programming language; Econometrics; Software engineering; Data science; Statistics; Software; Mathematics
Copied