書籍詳細

書籍詳細




洋書

Rで学ぶ統計学・データ解析(テキスト)

Introduction to Statistics and Data Analysis : With Exercises, Solutions and Applications in R

1st ed. 2016.

Heumann, C.   Schomaker, M.

Springer 2017/01
480 p.   
装丁: Hrd    装丁について
テキストの言語: ENG    出版国: DE
ISBN: 9783319461601
KCN: 1025977181
紀伊國屋書店 選定タイトル
標準価格:¥12,867(本体 ¥11,698)   
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納期について
KDC: F16 確率・統計
関連書リスト: SB2849 データサイエンス 2017
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Annotation

Presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis.

Full Description

This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.

Table of Contents

Part I Descriptive Statistics: Introduction and Framework.- Frequency Measures and Graphical Representation of Data.- Measures of Central Tendency and Dispersion.- Association of Two Variables.- Part I Probability Calculus: Combinatorics.- Elements of Probability Theory.- Random Variables.- Probability Distributions.- Part III Inductive Statistics: Inference.- Hypothesis Testing.- Linear Regression.- Part IV Appendices: Introduction to R.- Solutions to Exercises.- Technical Appendix.- Visual Summaries.