社会统计学与数理统计学的统一(The Unity Of Social Statistics and Mathematical Statistics)

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作者: 王见定著

出 版 社: 中国经济出版社

出版时间: 2010-6-1字数: 168000版次: 1页数: 193印刷时间: 2010-6-1开本: 16开印次: 1纸张: 胶版纸I S B N : 9787501796922包装: 平装

社会统计学与数理统计学的统一(The Unity Of Social Statistics and Mathematical Statistics)
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 19thcentury 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.

社会统计学与数理统计学的统一(The Unity Of Social Statistics and Mathematical Statistics)
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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