The Dictionary of Statistics (Classic Reprint) - Couverture souple

Mulhall, Michael G.

 
9780259376415: The Dictionary of Statistics (Classic Reprint)

Synopsis

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Présentation de l'éditeur

It I was self-ixnposedy for two reasons; because a work of this kind has been greatly I needed, and because all my predecessors and contemporaries have recoiled in dismay from the years of labour which it involved. In 1884 I brought out what may be termed a pocket edition, about one-fifth of the size of the present completeD ictionary. Not that it is now complete in a strict sense of the word, but that it exhausts all the statistical information which I have been able to collectS mall and unpretending as the first effort was, it received such favour from the public as sufficed to show that it partly met the want previously felt in this important field of science. There is no record in iflv European language of a work of this description, but it is quite possible that the Chinese, who were so early and indefatigable in many regards, may prove some day that this is not really the first Dictionary of Statistics. There have been, indeed, various Dictionaries of Commerce and Geography, before those of MC uU och, not to speak of Gazetteers and A lmanacs. Nor have efforts been wanting on the part of the cost famous statisticians in Europe to classify and publish in a well-digested form the ctfidal and semi-official returns bearing upon many very interesting questions. All such Piblications, however, were more or less spasmodic and unconnected. To collect them in alphabetical order, to arrange them in proportions suitable to the importance of the subject; this was a task of greater magnitude than any one can imagine. Each of the larger subjects is introduced with a conspectus or general table, showing the figures approximately for each country every ten years. Then each country is dealt Mritb in detail, showing the official or non-official statements at successive qxxhs. 1have freely used the works of others, because there is no copyright in statistics, and because
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