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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-004.mrc:457024305:5169
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-004.mrc:457024305:5169?format=raw

LEADER: 05169mam a2200481 a 4500
001 1856181
005 20220609012122.0
008 940531t19941994nyua b 001 0 eng d
010 $a 95119583
015 $aGB94-48081
020 $a0471595071 (acid-free)
035 $a(OCoLC)ocm30521522
035 $9ALU2496CU
035 $a(NNC)1856181
035 $a1856181
040 $aOAU$cDLC$dOUN$dUKM$dOrLoB-B
042 $alccopycat
050 00 $aQD75.4.M36$bE24 1994
082 00 $a543/.001/1354$220
100 1 $aEckschlager, Karel.$0http://id.loc.gov/authorities/names/n79018458
245 10 $aInformation theory in analytical chemistry /$cKarel Eckschlager, Klaus Danzer.
260 $aNew York :$bWiley,$c[1994], ©1994.
300 $axv, 275 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aChemical analysis,$x0069-2883 ;$vv. 128
500 $a"A Wiley-Interscience publication."
504 $aIncludes bibliographical references and index.
505 00 $gCh. 1.$tIntroduction --$gCh. 2.$tThe Aim of Analytical Chemistry --$gCh. 3.$tBasic Concepts of Information Theory --$gCh. 4.$tIdentification of Components --$gCh. 5.$tQualitative Analysis --$gCh. 6.$tQuantitative Analysis --$gCh. 7.$tMulticomponent Analysis --$gCh. 8.$tOptimum Analytical Strategies --$gCh. 9.$tQuality Assurance --$gCh. 10.$tDistribution Analysis: Microanalysis, Surface Analysis, and Scanning Methods --$gCh. 11.$tStructure Analysis --$gCh. 12.$tChemometrics: Information Amount of Multivariate Data Analysis --$gCh. 13.$tInformation Theory - Theoretical Basis of Analytical Chemistry?
520 $aRegarded as a seminal work in chemometrics, Information Theory as Applied to Chemical Analysis by Karel Eckscklager and Vladimir Stepanek shed light on the importance of information theory, stressing that the very mechanisms of information gathering are key to the quality of the analytical data collected. Continuing that examination, this new volume, Information Theory in Analytical Chemistry, looks at the practical applications of information theory, especially as a tool for optimizing chemical analysis.
520 8 $aComplete with up-to-date examples from diverse areas such as toxicology, environmental science, and metallurgy, the book provides a workable framework for developing, optimizing, and assessing analytical procedures.
520 8 $aLayer by layer, the analytical process is dismantled - and reassembled - so the reader develops a genuine, practice-oriented grasp of just how information theory shapes the chemical analysis process.
520 8 $aBeginning with the fundamentals of information theory and analytical chemistry, the book then considers the systemic nature of chemical analysis, examining each of its facets: identification of components, trace analysis, qualitative analysis, quantitative analysis, multicomponent analysis, microanalysis, and surface or structure analysis.
520 8 $aUp-to-date, detailed discussion includes: identification of an individual component or a group of compounds; effect of a priori knowledge of the sample on the information gain of the result; importance of calibration methods and reference material and their net effect on the precision and accuracy of results; choice of the optimum analytical method, criteria of selection; quality control, external and internal quality assurance; chemical homogeneity testing.
520 8 $aParticularly important in trace and multivariate analysis, the book also sheds light on the information content inherent in analytical instrumentation, contrasting it with the true information gains of the analysis. Essential to understanding the individual steps of analytical process, this distinction allows for better evaluation and optimization of each step, including calibration and signal processing.
520 8 $aThe book also assesses the information contribution of key chemometric methods, such as cluster analysis, pattern recognition, and factorial data analysis, useful in multivariate or multicomponent analysis. This discussion, in turn, provides insight into the true character of multivariate data analysis, revealing it as not simply a string of single-component analyses done simultaneously, but rather a fragile, potentially bias-ridden mechanism with unique interpretive potential of its own.
520 8 $aComplete with tables, diagrams, and examples, Information Theory in Analytical Chemistry is a practical handbook of enhanced analytical techniques that can sharply improve the quality of data collection as well as a user's understanding of the significance of information theory in each step of the entire chemical analysis process.
650 0 $aChemometrics.$0http://id.loc.gov/authorities/subjects/sh2005000482
650 0 $aInformation theory in chemistry.$0http://id.loc.gov/authorities/subjects/sh85066292
653 0 $aChemistry$aMathematics
700 1 $aDanzer, Klaus.$0http://id.loc.gov/authorities/names/n83136767
830 0 $aChemical analysis ;$vv. 128.$0http://id.loc.gov/authorities/names/n42006012
852 00 $boff,che$hQD75.4.M36$iE24 1994