| 000 | 02687nam a2200337 a 4500 | ||
|---|---|---|---|
| 005 | 20250918145515.0 | ||
| 008 | 111031s2011 flua b 001 0 eng | ||
| 020 |
_a9781584885740 (hbk.) _cRM222.84 |
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| 020 | _a1584885742 (hbk.) | ||
| 039 | 9 |
_a201111220923 _bzabidah _c201111101203 _dbaiti _y10-31-2011 _zfarid |
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| 040 | _aUKM | ||
| 090 | _aQA278.4.B744 | ||
| 090 |
_aQA278.4 _b.B744 |
||
| 100 | 1 | _aBretz, Frank. | |
| 245 | 1 | 0 |
_aMultiple comparisons using R / _cFrank Bretz, Torsten Hothorn, Peter Westfall. |
| 260 |
_aBoca Raton, FL : _bCRC Press, _c2011. |
||
| 300 |
_axvii, 187 p. : _bill. ; _c25 cm. |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 520 | _a'Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. After giving examples of multiplicity problems, the book covers general concepts and basic multiple comparisons procedures, including the Bonferroni method and Simes' test. It then shows how to perform parametric multiple comparisons in standard linear models and general parametric models. It also introduces the multcomp package in R, which offers a convenient interface to perform multiple comparisons in a general context. Following this theoretical framework, the book explores applications involving the Dunnett test, Tukey's all pairwise comparisons, and general multiple contrast tests for standard regression models, mixed-effects models, and parametric survival models. The last chapter reviews other multiple comparison procedures, such as resampling-based procedures, methods for group sequential or adaptive designs, and the combination of multiple comparison procedures with modeling techniques. Controlling multiplicity in experiments ensures better decision making and safeguards against false claims. A self-contained introduction to multiple comparison procedures, this book offers strategies for constructing the procedures and illustrates the framework for multiple hypotheses testing in general parametric models. It is suitable for readers with R experience but limited knowledge of multiple comparison procedures and vice versa.'--Publisher's description. | ||
| 650 | 0 | _aMultiple comparisons (Statistics) | |
| 650 | 0 | _aR (Computer program language) | |
| 700 | 1 | _aHothorn, Torsten. | |
| 700 | 1 |
_aWestfall, Peter H., _d1957- |
|
| 907 |
_a.b15186866 _b2021-05-28 _c2019-11-12 |
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| 942 |
_c01 _n0 _kQA278.4.B744 |
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| 914 | _avtls003481965 | ||
| 990 | _abaiti | ||
| 991 | _aFakulti Sains & Teknologi (FST) | ||
| 998 |
_at _b2011-05-10 _cm _da _feng _gflu _y0 _z.b15186866 |
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| 999 |
_c502903 _d502903 |
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