000 | 02026cam a2200337 i 4500 | ||
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999 |
_c184244 _d184243 |
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001 | 20710715 | ||
005 | 20241211113952.0 | ||
008 | 180909s2019 flua b 001 0 eng c | ||
010 | _a 2018041298 | ||
020 | _a9781498773133 (hardback : acidfree paper) | ||
020 | _z9781498773164 (e-book) | ||
020 |
_z9780429614415 _qebook |
||
040 | _beng | ||
042 | _apcc | ||
050 | 0 | 0 |
_aQA276 _b.R875 2019 |
082 | 0 | 0 |
_a519.5/7 _223 _bRUS |
100 | 1 |
_aRussell, K. G. _q(Kenneth Graham), |
|
245 | 1 | 0 |
_aDesign of experiments for generalized linear models / _cKenneth G. Russell, National Institute for Applied Statistical Research Australia, University of Wollongong. |
264 | 1 |
_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c[2019] |
|
300 |
_axiii, 225 pages : _billustrations; _c24 cm. |
||
490 | 0 | _aChapman & Hall/CRC interdisciplinary statistics series | |
500 | _a"A Chapman & Hall book." | ||
504 | _aIncludes bibliographical references (pages 219-221) and index. | ||
520 |
_a"While there are numerous books on the analysis of Generalized Linear Models (GLMs), there is very little information available on how to design the experiments that will collect the data. This book will describe the theory and methods for designing experiments to collect data that will be analysed by GLMs. It shows that the extensive theory underlying design for linear models does not work for GLMs, and gives practical guidance as to how best to design experiments for GLMs. It includes lots of examples to illustrate the topics, and is supplemented by R code for their implementation"-- _cProvided by publisher. |
||
650 | 0 | _aLinear models (Statistics) | |
650 | 0 | _aExperimental design. | |
856 |
_3EB _uhttps://www.taylorfrancis.com/books/mono/10.1201/9780429057489/design-experiments-generalized-linear-models-kenneth-russell _ySF |
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906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
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942 | _cEB |