Abstract
Writing papers is an essential part of the research process. Researchers have a professional obligation of disseminating their results, making them available for others to use to enhance common scientific knowledge. Besides the fun of sharing their own ideas and views, to publish is essential in order to actually have a scientific career. Although scientific writing certainly has its own conventions and standards, I suspect there is no a unique true recipe making the trick. As a matter of fact I do not have any. However my quite long time in the academic arena has given me a pretty clear idea about how I do and do not like things done. In this paper I will be giving my personal view and rules, in the hope that sharing my own experience would do some good to others as it did for me.
Keywords
- Professional Obligation
- Conditional Acceptance
- International Statistical Institute
- Author Credit
- Young Statistician
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References
National Academy Press (1995) On being a scientist. National Academy Press http://www.nap.edu/openbook.php?record_id=4917&page=R1
Little RJ, Wilson S. WRITE Statistics RIGHT! Tips on good writing style for R&M researchers. Bureau of the Census http://sitemaker.umich.edu/rlittle/files/writestatsrev.pdf
Sand-Jensen K (2011) How to write consistently boring scientific literature. Oikos 116:723–727. doi: 10.1111/j.2007.0030-1299.15674.x
Acknowledgements
I would like to thank Francesca Ieva and Anna Maria Paganoni for inviting me to give this paper. I had a great time twice: first addressing young attendees at BAYSM2013 and then writing this paper. I accepted because they asked so nicely I could not say no. Now I know what the fun of becoming a senior might be.
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Mecatti, F. (2014). The Point Is…to Publish?. In: Lanzarone, E., Ieva, F. (eds) The Contribution of Young Researchers to Bayesian Statistics. Springer Proceedings in Mathematics & Statistics, vol 63. Springer, Cham. https://doi.org/10.1007/978-3-319-02084-6_39
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DOI: https://doi.org/10.1007/978-3-319-02084-6_39
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