000 | 01843nam a22003257a 4500 | ||
---|---|---|---|
001 | sulb-eb0015781 | ||
003 | BD-SySUS | ||
005 | 20160405134444.0 | ||
008 | 120306s2013||||enk o ||1 0|eng|d | ||
020 | _a9781139342810 (ebook) | ||
020 | _z9781107030015 (hardback) | ||
020 | _z9781107670341 (paperback) | ||
040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
050 | 0 | 0 |
_aQC174.8 _b.B474 2013 |
082 | 0 | 0 |
_a530/.078 _223 |
100 | 1 |
_aBevan, Adrian, _eauthor. |
|
245 | 1 | 0 |
_aStatistical Data Analysis for the Physical Sciences / _cAdrian Bevan. |
264 | 1 |
_aCambridge : _bCambridge University Press, _c2013. |
|
300 |
_a1 online resource (229 pages) : _bdigital, PDF file(s). |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
500 | _aTitle from publisher's bibliographic system (viewed on 04 Apr 2016). | ||
520 | _aData analysis lies at the heart of every experimental science. Providing a modern introduction to statistics, this book is ideal for undergraduates in physics. It introduces the necessary tools required to analyse data from experiments across a range of areas, making it a valuable resource for students. In addition to covering the basic topics, the book also takes in advanced and modern subjects, such as neural networks, decision trees, fitting techniques and issues concerning limit or interval setting. Worked examples and case studies illustrate the techniques presented, and end-of-chapter exercises help test the reader's understanding of the material. | ||
650 | 0 |
_a _aPhysical sciences _xStatistical methods. |
|
650 | 0 |
_a _aPhysical sciences _xExperiments _xData processing. |
|
776 | 0 | 8 |
_iPrint version: _z9781107030015 |
856 | 4 | 0 | _uhttp://dx.doi.org/10.1017/CBO9781139342810 |
942 |
_2Dewey Decimal Classification _ceBooks |
||
999 |
_c37625 _d37625 |