| 000 | 02417cam a2200265 i 4500 | ||
|---|---|---|---|
| 999 |
_c1335 _d1335 |
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| 003 | OSt | ||
| 005 | 20200801125431.0 | ||
| 008 | 180930s2019 enk b 001 0 eng c | ||
| 020 |
_a9781138541405 _q(hardback ; _qalk. paper) |
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| 020 |
_a9781138541436 _q(pbk. ; _qalk. paper) |
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| 020 |
_z9781351011099 _q(ebk) |
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| 040 |
_aLBSOR/DLC _cKABLIB _dKABLIB |
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| 082 | 0 | 0 |
_a519.536 _223 _bARK |
| 100 | 1 |
_aArkes, Jeremy, _eAuthor. _93877 |
|
| 240 | _aa practical introduction / | ||
| 245 | 1 | 0 |
_aRegression Analysis : _ba practical introduction / _cJeremy Arkes. |
| 264 | 1 |
_aLondon ; _aNew York : _bRoutledge, Taylor & Francis Group, _cc2019. |
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| 300 |
_axx, 342 pages : _billustrations ; _c25 cm |
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| 500 | _aIncludes index. | ||
| 504 | _aIncludes bibliographical references. | ||
| 520 |
_a"With the rise of "big data", there is an increasing demand to learn the skills needed to undertake sound quantitative analysis without requiring students to spend too much time on high-level math and proofs. This book provides an efficient alternative approach, with more time devoted to the practical aspects of regression analysis and how to recognise the most common pitfalls. By doing so, the book will better prepare readers for conducting, interpreting, and assessing regression analyses, while simultaneously making the material simpler and more enjoyable to learn. Logical and practical in approach, Regression Analysis teaches: (1) the tools for conducting regressions; (2) the concepts needed to design optimal regression models (based on avoiding the pitfalls); and (3) the proper interpretations of regressions. Furthermore, this book emphasizes honesty in research, with a prevalent lesson being that statistical significance is not the goal of research. This book is an ideal introduction to regression analysis for anyone learning quantitative methods in the social sciences, business, medicine, and data analytics. It will also appeal to researchers and academics looking to better understand what regressions do, what their limitations are, and what they can tell us. This will be the most engaging book on regression analysis (or Econometrics) you will ever read!"-- _cProvided by publisher. |
||
| 650 | 0 |
_aRegression analysis. _93878 |
|
| 776 | 0 | 8 |
_iOnline version: _aArkes, Jeremy, author. _tRegression analysis _dAbingdon, Oxon ; New York, NY : Routledge, 2019 _z9781351011099 _w(DLC) 2019015329 |
| 942 |
_2ddc _cBOOK |
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