id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_jpwj5mpn7rby3a3bnsa5jmf6mq	Alexander Koplenig	Why the quantitative analysis of diachronic corpora that does not consider the temporal aspect of time-series can lead to wrong conclusions	2015.0	10	.pdf	application/pdf	4597	370	65	of time-series data, run the risk of incorrect statistical inference, where potential effects are both such an analysis can be questioned, I use three additional time-series. Replications of the correlation analysis of Caruana-Galizia (2015, p. correlations between the Nazi words and the selected keywords in the time span 1870–1946 on the basis of the Google correlation between the time-series of both words as Replications of the correlation analysis of Caruana-Galizia (2015, p .11 Table 3). correlations between the first differences for the time-series for each word. For this analysis, the first differences for each time-series Conversely, I believe that the use of more appropriate tools for the analysis of time-series data can Time-series plots for the examples presented in Figs 1 and 4. For each plot, the time-series of the first word is 11) only uses one ARIMA model specification for the time-series of all six keywords.	./cache/work_jpwj5mpn7rby3a3bnsa5jmf6mq.pdf	./txt/work_jpwj5mpn7rby3a3bnsa5jmf6mq.txt