| 000 | 02443cam a22003618i 4500 | ||
|---|---|---|---|
| 001 | 22747429 | ||
| 003 | OSt | ||
| 005 | 20260505125623.0 | ||
| 008 | 220812s2023 enk b 001 0 eng | ||
| 010 | _a 2022035701 | ||
| 020 | _a9781032257839 (hbk.) | ||
| 035 | _a22747429 | ||
| 040 |
_aDLC _beng _erda _cDLC |
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| 042 | _apcc | ||
| 082 | 0 | 0 |
_a519.536 _223 _bARK.J |
| 100 | 1 |
_aArkes, Jeremy. _eauthor _937785 |
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| 245 | 1 | 0 |
_aRegression analysis : _ba practical introduction / _cJeremy Arkes. |
| 250 | _a2nd. | ||
| 260 |
_aMilton Park, Abingdon, Oxon ; _aNew York, NY : _bRoutledge, _c2023. |
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| 263 | _a2301 | ||
| 300 |
_axx, 392 p. ; _c25 cm. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_aunmediated _bn _2rdamedia |
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| 338 |
_avolume _bnc _2rdacarrier |
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| 365 |
_b42.99 _cPound |
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| 500 | _a"First edition published 2019"--Title page verso. | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 520 |
_a"This thoroughly practical and engaging textbook is designed to equip students with the skills needed to undertake sound regression analysis without requiring high-level math. Regression Analysis covers the concepts needed to design optimal regression models and to properly interpret regressions. It details the most common pitfalls, including three sources of bias not covered in other textbooks. Rather than focusing on equations and proofs, the book develops an understanding of these biases visually and with examples of situations in which such biases could arise. In addition, it describes how 'holding other factors constant' actually works. This second edition features a new chapter on integrity and ethics, and has been updated throughout to include more international examples. Each chapter offers examples, exercises and clear summaries, all of which are designed to support student learning to help towards producing responsible research. This is the textbook the author wishes he had learned from, as it would have helped him avoid many research mistakes he made in his career. It is ideal 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 regressions"-- _cProvided by publisher. |
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| 650 | 0 | _aRegression analysis. | |
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
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| 942 |
_2ddc _c1 _e23 _n0 |
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| 999 |
_c612854 _d612854 |
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