【MeL】Econometrics for dummies (--For dummies)
Pedace, Roberto
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数量
冊
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価格
\8,030(税込)
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※表示価格は「学術機関向け・同時1アクセス」の価格となります。 ご注文を承った際には、実際のご契約内容により算出した価格でご請求いたします。
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発行年月 |
2013年07月 |
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言語 |
英語 |
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媒体 |
電子 |
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ページ数/巻数 |
360 p. |
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ジャンル |
和書 |
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商品コード |
1021865677 |
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商品URL
| https://kw.maruzen.co.jp/ims/itemDetail.html?itmCd=1021865677 |
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内容
Learn to: Grasp the techniques and applications of econometrics Make sense of complex concepts and material Use specialized software to apply your acquired econometrics skills Understand econometric theory and apply econometric techniques Econometrics can prove challenging for many students. Thankfully, Econometrics For Dummies eliminates that confusion with easy-to-understand explanations of important topics in the study of econometrics. This hands-on, friendly guide breaks down the complex subject of econometrics and provides you with an easy-to-follow course supplement to further refine your understanding of how econometrics works and how it can be applied in real-world situations. The nuts and bolts get familiar with the various characteristics of the classical linear regression model (CLRM), which is the foundation of traditional econometric analysis Form and function discover how econometric analysis is able to accommodate a considerable amount of flexibility with different mathematical functions and types of data Don't assume find out how econometricians use some bizarre titles to identify problems that violate CLRM assumptions Be discrete get to know how discrete and restricted dependent variables can create problems for traditional regression analysis and discover the techniques econometricians have developed to modify traditional regression analysis Make special note delve deeper into a few specialized areas of econometrics, namely time-series analysis, pooled cross sections, and panel econometrics Open the book and find: Plain-English explanations of complex material Computer outputs from STATA for many of the examples The economist's approach to statistical analysis The various characteristics of the classical linear regression model The most common problems encountered when performing regression analysis Lots of helpful figures Common mistakes in applied econometrics