| 000 | 01657cam a2200313 i 4500 | ||
|---|---|---|---|
| 001 | 17815443 | ||
| 003 | APU | ||
| 005 | 20151208051504.0 | ||
| 008 | 130717t20142014njua b 001 0 eng | ||
| 010 | _a 2013026538 | ||
| 020 | _a9781118386088 (hbk.) | ||
| 020 | _a1118386086 (hbk.) | ||
| 040 |
_aDLC _beng _cDLC _erda _dANA |
||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQA278.2 _b.W44 2014 |
| 082 | 0 | 0 |
_a519.536 _223 _bWEI 2014 |
| 100 | 1 |
_aWeisberg, Sanford, _d1947- _916098 |
|
| 245 | 1 | 0 |
_aApplied linear regression / _cSanford Weisberg. |
| 250 | _a4th ed. | ||
| 260 |
_aHoboken : _bJohn Wiley & Sons, _c2014. |
||
| 300 |
_axvii, 340 p. : _bill. ; _c24 cm |
||
| 490 | 0 | _aWiley series in probability and statistics | |
| 504 | _aIncludes bibliographical references (pages 317-328) and index. | ||
| 520 | _a"Providing a coherent set of basic methodology for applied linear regression without being encyclopedic, the fourth edition of Applied Linear Regression is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, this updated edition stresses the use of graphical methods in an effort to find appropriate models and to better understand them"-- | ||
| 650 | 0 |
_aRegression analysis. _94062 |
|
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
||
| 942 |
_2lcc _cBook _01 |
||
| 999 |
_c363921 _d363921 |
||