| 書目名稱 | Multivariate Methods and Forecasting with IBM? SPSS? Statistics |
| 編輯 | Abdulkader Aljandali |
| 視頻video | http://file.papertrans.cn/642/641313/641313.mp4 |
| 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 |
| 叢書名稱 | Statistics and Econometrics for Finance |
| 圖書封面 |  |
| 描述 | This is the second of a two-part guide to quantitative analysis using the IBM SPSS Statistics software package; this volume focuses on multivariate statistical methods and advanced forecasting techniques. More often than not, regression models involve more than one independent variable. For example, forecasting methods are commonly applied to aggregates such as inflation rates, unemployment, exchange rates, etc., that have complex relationships with determining variables. This book introduces multivariate regression models and provides examples to help understand theory underpinning the model. The book presents the fundamentals of multivariate regression and then moves on to examine several related techniques that have application in business-orientated fields such as logistic and multinomial regression. Forecasting tools such as the Box-Jenkins approach to time series modeling are introduced, as well as exponential smoothing and na?ve techniques. This part also covers hot topics suchas Factor Analysis, Discriminant Analysis and Multidimensional Scaling (MDS). |
| 出版日期 | Book 2017 |
| 關(guān)鍵詞 | data analysis; correlation; forecast; diagnostic; univariate frequencies; SPSS; Mann-Whitney test; Kruskal- |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-56481-4 |
| isbn_softcover | 978-3-319-85922-4 |
| isbn_ebook | 978-3-319-56481-4Series ISSN 2199-093X Series E-ISSN 2199-0948 |
| issn_series | 2199-093X |
| copyright | Springer International Publishing AG 2017 |
|Archiver|手機(jī)版|小黑屋|
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