20th-century Statistician Quotes
It this terrible simplification that there is one Africa, and things go on in one way in Africa. We have to stop that, it is not respectful, and it's not very clever to think that way. I had the fortune to live and work for a time in the United States. I found out that Salt Lake City and San Francisco were different. And so it is in Africa, it's a lot of difference. What do we think it would be concurrency? And what is concurrency? In Sweden, we have no concurrency. We have serial monogamy. Vodka New Year's Eve, new partner for the spring, vodka Midsummer Eve, new partner for the fall, vodka, and it goes on like this, you know, and you collect a big number of ex's, and we've got a terrible chlamydia epidemic.
A time series is a sequence of observations, usually ordered in time, although in some cases the ordering may be according to another dimension. The feature of time series analysis which distinguishes it from other statistical analysis is the explicit recognition of the importance of the order in which the observations are made. While in many problems the observations are statistically independent, in time series successive observations may be dependent, and the dependence may depend on the positions in the sequence. The nature of a series and the structure of its generating process also may involve in other ways the sequence in which the observations are taken.
It was Karl Pearson, a man with an unquenchable ambition for scholarly recognition and the kind of drive and determination that had taken Hannibal over the Alps and Marco Polo to China, who recognized the power in Edgeworth's formulations of Galton's ideas. Pearson lacked Galton's originality and Edgeworth's depth of understanding, but it was his zeal, with a vital assist from G. Udny Yule, that created the methodology and sold it to the world.