| 书目名称 | Quantitative Analysis and IBM® SPSS® Statistics | | 副标题 | A Guide for Business | | 编辑 | Abdulkader Aljandali | | 视频video | | | 概述 | Utilizes the popular and accessible IBM SPSS Statistics software package to teach data analysis for business and finance in a step-by-step approach.A comprehensive, in-depth guide, especially relative | | 丛书名称 | Statistics and Econometrics for Finance | | 图书封面 |  | | 描述 | . ..This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods...IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S...Although the emphasis in this guide is on applications of IBM SPS | | 出版日期 | Book 2016 | | 关键词 | data analysis; correlation; forecast; diagnostic; univariate frequencies; SPSS; Mann-Whitney test; Kruskal- | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-45528-0 | | isbn_softcover | 978-3-319-83312-5 | | isbn_ebook | 978-3-319-45528-0Series ISSN 2199-093X Series E-ISSN 2199-0948 | | issn_series | 2199-093X | | copyright | Springer International Publishing Switzerland 2016 |
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发表于 2025-3-21 19:04:29
