| 000 | 01397cam a2200289Ii 4500 | ||
|---|---|---|---|
| 001 | 9781315366715 | ||
| 008 | 180706s2017 flu ob 000 0 eng d | ||
| 020 |
_a9781315366715 _q(e-book : PDF) |
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| 020 |
_a9781315323602 _q(e-book: Mobi) |
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| 020 |
_z9781498797320 _q(hardback) |
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| 024 | 7 |
_a10.1201/9781315366715 _2doi |
|
| 035 | _a(OCoLC)993757885 | ||
| 050 | 4 |
_aQ375 _b.S53 2017 |
|
| 082 | 0 | 4 |
_a001.434028553 _bS534 |
| 100 | 1 |
_aShaw, Ben D., _eauthor. _920133 |
|
| 245 | 1 | 0 |
_aUncertainty analysis of experimental data with R / _cBenjamin David Shaw. |
| 264 | 1 |
_aBoca Raton : _bCRC Press, _c2017. |
|
| 300 | _a1 online resource | ||
| 504 | _aIncludes bibliographical references. | ||
| 505 | 0 | _achapter 1 Introduction -- chapter 2 Aspects of R -- chapter 3 Statistics -- chapter 4 Curve Fits -- chapter 5 Uncertainty of a Measured Quantity -- chapter 6 Uncertainty of a Result Calculated Using Experimental Data -- chapter 7 Taylor Series Uncertainty of a Linear Regression Curve Fit -- chapter 8 Monte Carlo Methods -- chapter 9 The Bayesian Approach. | |
| 650 | 0 |
_aProbabilities _vTextbooks. _94442 |
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| 650 | 0 |
_aUncertainty (Information theory) _vTextbooks. _920134 |
|
| 650 | 0 |
_aR (Computer program language) _94991 |
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| 776 | 0 | 8 |
_iPrint version: _z9781498797320 _w(DLC) 2016048268 |
| 856 | 4 | 0 |
_uhttps://www.taylorfrancis.com/books/9781315366715 _zClick here to view. |
| 942 | _cEBK | ||
| 999 |
_c72297 _d72297 |
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