| 000 | 05642nam a2200301 i 4500 | ||
|---|---|---|---|
| 008 | 070213s2007 ne af b 001 0 eng | ||
| 020 | _a9780123740243 | ||
| 020 | _a012374024X | ||
| 040 |
_aUKM _erda _cUKM _dBAKER _dOHX _dBTCTA _dYDXCP _dAGL _dIXA _dDRB |
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| 049 | _aBAUN_MERKEZ | ||
| 050 | 0 | 4 |
_aQD95.5.S72 _bM36 2007 |
| 082 | 0 | 4 | _222 |
| 100 | 1 | _aMark, Howard | |
| 245 | 1 | 0 |
_aChemometrics in spectroscopy / _cHoward Mark, Jerry Workman Jr |
| 250 | _a1st ed | ||
| 264 | 1 |
_aAmsterdam ; _aBoston : _bAcademic Press, _c2007. |
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| 300 |
_aix, 526 pages, [17] pages of plates : _billustrations (some color) ; _c25 cm |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_aunmediated _bn _2rdamedia |
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| 338 |
_avolume _bnc _2rdacarrier |
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| 504 | _aIncludes bibliographical references and index | ||
| 505 | 0 | 0 |
_tContents _t1A new beginning ... _t2Elementary matrix algebra : part 1 _t3Elementary matrix algebra : part 2 _t4Matrix algebra and multiple linear regression : part 1 _t5Matrix algebra and multiple linear regression : part 2 _t6Matrix algebra and multiple linear regression : part 3 - the concept of determinants _t7Matrix algebra and multiple linear regression : part 4 - concluding remarks _t8Experimental designs : part 1 _t9Experimental designs : part 2 _t10Experimental designs : part 3 _t11Analytic geometry : part 1 - the basics in two and three dimensions _t12Analytic geometry : part 2 - geometric representation of vectors and algebraic operations _t13Analytic geometry : part 3 - reducing dimensionality _t14Analytic geometry : part 4 - the geometry of vectors and matrices _t15Experimental designs : part 4 - varying parameters to expand the design _t16Experimental designs : part 5 - one-at-a-time designs _t17Experimental designs : part 6 - sequential designs _t18Experimental designs : part 7 - [beta], the power of a test _t19Experimental designs : part 8 - [beta], the power of a test (continued) _t20Experimental designs : part 9 - sequential designs concluded _t21Calculating the solution for regression techniques : part 1 - multivariate regression made simple _t22Calculating the solution for regression techniques : part 2 - principal component(s) regression made simple _t23Calculating the solution for regression techniques : part 3 - partial least squares regression made simple _t24Looking behind and ahead : interlude _t25A simple question : the meaning of chemometrics pondered _t26Calculating the solution for regression techniques : part 4 - singular value decomposition _t27Linearity in calibration _t28Challenges : unsolved problems in chemometrics _t29Linearity in calibration : act II scene I _t30Linearity in calibration : act II scene II - reader's comments ... _t31Linearity in calibration : act II scene III _t32Linearity in calibration : act II scene IV _t33Linearity in calibration : act II scene V _t34Collaborative laboratory studies : part 1 - a blueprint _t35Collaborative laboratory studies : part 2 - using ANOVA _t36Collaborative laboratory studies : part 3 - testing for systematic error _t37Collaborative laboratory studies : part 4 - ranking test _t38Collaborative laboratory studies : part 5 - efficient comparison of two methods _t39Collaborative laboratory studies : part 6 - MathCad worksheet text _t40Is noise brought by the stork? : analysis of noise : part 1 _t41Analysis of noise : part 2 _t42Analysis of noise : part 3 _t43Analysis of noise : part 4 _t44Analysis of noise : part 5 _t45Analysis of noise : part 6 _t46Analysis of noise : part 7 _t47Analysis of noise : part 8 _t48Analysis of noise : part 9 _t49Analysis of noise : part 10 _t50Analysis of noise : part 11 _t51Analysis of noise : part 12 _t52Analysis of noise : part 13 _t53Analysis of noise : part 14 _t54Derivatives in spectroscopy : part 1 - the behavior of the derivative _t55Derivatives in spectroscopy : part 2 - the "true" derivative _t56Derivatives in spectroscopy : part 3 - computing the derivative _t57Derivatives in spectroscopy : part 4 - calibrating with derivatives _t58Comparison of goodness of fit statistics for linear regression : part 1 - introduction _t59Comparison of goodness of fit statistics for linear regression : part 2 - the correlation coefficient _t60Comparison of goodness of fit statistics for linear regression : part 3 - computing confidence limits for the correlation coefficient _t61Comparison of goodness of fit statistics for linear regression : part 4 - confidence limits for slope and intercept _t62Correction and discussion regarding derivatives _t63Linearity in calibration : act III scene I - importance of nonlinearity _t64Linearity in calibration : act III scene II - a discussion of the Durbin-Watson statistic, a step in the right direction _t65Linearity in calibration : act III scene III - other tests for nonlinearity _t66Linearity in calibration : act III scene IV - how to test for nonlinearity _t67Linearity in calibration : act III scene V - quantifying nonlinearity _t68Linearity in calibration : act III scene VI - quantifying nonlinearity, part II, and a news flash _t69Connecting chemometrics to statistics : part 1 - the chemometrics side _t70Connecting chemometrics to statistics : part 2 - the statistics side _t71Limitations in analytical accuracy : part 1 - Horwitz's trumpet _t72Limitations in analytical accuracy : part 2 - theories to describe the limits in analytical accuracy _t73Limitations in analytical accuracy : part 3 - comparing test results for analytical uncertainty _t74The statistics of spectral searches _t75The chemometrics of imaging spectroscopy |
| 650 | 0 |
_aSpectrum analysis _xStatistical methods |
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| 650 | 0 | _aChemometrics | |
| 700 | 1 | _aWorkman, Jerry | |
| 900 | _a35350 | ||
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_2lcc _cKT |
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_c32608 _d32608 |
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