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The Unity of Social Statistics and Mathematical Statistics

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The Unity of Social Statistics and Mathematical Statistics

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作 者:王见定

出 版 社:中国经济

出版时间:2010-6-1

I S B N:9787501796922

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《社会统计学与数理统计学的统一(英文版)》是由中国经济出版社出版的。

内容简介

it is recorded by the history of statistics that "political arithmetic" and " staatenkunde" date back to the 17th century--primary social statistics, originated in britain and germany. almost at the same time, "gambling mathematics'--primary probability theory, appeared in italy. primary mathematical statistics did not come into being until the 19th century when law of large numbers and error theory were discovered and added to probability theory. so we can draw the conclusion thatsocial statistics came into use two centuries earlier than mathematical statistics.
because social statistics is widely used in economy and politics,the governments of all nations have been attaching great 'importance to it and made it develop systematically. after 1940s, mathematical statistics developed rapidly owing to the development of probability theory. after 400 years' development, two branches of learning have been formed--social statistics and mathematical statistics, both of which are in constant competition and neither of them can win easily.

作者简介

目录

chapter 1 data collecting and data sorting
 section 1 data measure and types
 section 2 data collecting
 section 3 data sorting
chapter 2 data description
 section 1 absolute number and relative number
 section 2 description of average level
 section 3 description of dispersion degree
chapter 3 time series analysis
 section 1 basis analysis of time series
 section 2 determination of long-term trend
 section 3 determination of seasonal variation
 section 4 establishment of prediction equation
chapter 4 index analysis
 section 1 index and sorting
 section 2 weighted index
 section 3 index system
 section 4 several important indices
chapter 5 statistics distribution
 section 1 population and sample
 section 2 statistics distribution
chapter 6 parameter estimate
 section 1 point estimate
 section 2 standard to amount estimate
 section 3 interval estimate
chapter 7 hypothesis testing
 section 1 proposal on hypothesis testing problem
 section 2 procedure of hypothesis testing
 section 3 hypothesis testing of a normal population
 section 4 hypothesis testing on two normal populations
 section 5 hypothesis testing of the probability
 section 6 hypothesis testing of distribution function
 section 7 two types of errors in hypothesis testing
……

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