LEADER 03724nam 2200697I 450 001 9910460107103321 005 20200520144314.0 010 $a0-429-16914-0 035 $a(CKB)3710000000373045 035 $a(EBL)1446338 035 $a(SSID)ssj0001401016 035 $a(PQKBManifestationID)12572281 035 $a(PQKBTitleCode)TC0001401016 035 $a(PQKBWorkID)11344488 035 $a(PQKB)11480343 035 $a(MiAaPQ)EBC1446338 035 $a(CaSebORM)9781439885017 035 $a(Au-PeEL)EBL1446338 035 $a(CaPaEBR)ebr11165989 035 $a(OCoLC)908077475 035 $a(OCoLC)900220402 035 $a(EXLCZ)993710000000373045 100 $a20180611d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aData analysis and statistics for geography, environmental science, and engineering /$fby Miguel F. Acevedo 205 $a1st edition 210 1$aBoca Raton, FL :$cCRC Press, an imprint of Taylor and Francis,$d2012. 215 $a1 online resource (549 p.) 300 $aDescription based upon print version of record. 311 $a1-4398-8501-X 311 $a1-4665-9221-4 320 $aIncludes bibliographical references. 327 $aFront Cover; Contents; Preface; Acknowledgments; Author; Chapter 1 - Introduction; Chapter 2 - Probability Theory; Chapter 3 - Random Variables, Distributions, Moments, and Statistics; Chapter 4 - Exploratory Analysis and Introduction to Inferential Statistics; Chapter 5 - More on Inferential Statistics: Goodness of Fit, Contingency Analysis, and Analysis of Variance; Chapter 6 - Regression; Chapter 7 - Stochastic or Random Processes and Time Series; Chapter 8 - Spatial Point Patterns; Chapter 9 - Matrices and Linear Algebra; Chapter 10 - Multivariate Models 327 $aChapter 11 - Dependent Stochastic Processes and Time SeriesChapter 12 - Geostatistics: Kriging; Chapter 13 - Spatial Auto-Correlation and Auto-Regression; Chapter 14 - Multivariate Analysis I: Reducing Dimensionality; Chapter 15 - Multivariate Analysis II: Identifying and Developing Relationships among Observations and Variables; Bibliography; Back Cover 330 3 $aProviding a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines. 606 $aGeography$xData processing 606 $aGeography$xStatistical methods 606 $aEnvironmental sciences$xData processing 606 $aEnvironmental sciences$xStatistical methods 606 $aEngineering$xData processing 606 $aEngineering$xStatistical methods 608 $aElectronic books. 615 0$aGeography$xData processing. 615 0$aGeography$xStatistical methods. 615 0$aEnvironmental sciences$xData processing. 615 0$aEnvironmental sciences$xStatistical methods. 615 0$aEngineering$xData processing. 615 0$aEngineering$xStatistical methods. 676 $a519.5 700 $aAcevedo$b Miguel F.$0930402 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910460107103321 996 $aData analysis and statistics for geography, environmental science, and engineering$92092817 997 $aUNINA LEADER 02463nam 2200649Ia 450 001 9910784859303321 005 20230421044705.0 010 $a0-19-756075-X 010 $a1-280-52786-2 010 $a9786610527861 010 $a0-19-535742-6 010 $a1-4294-0047-1 035 $a(CKB)1000000000403379 035 $a(EBL)271088 035 $a(OCoLC)251537836 035 $a(SSID)ssj0000111971 035 $a(PQKBManifestationID)11127873 035 $a(PQKBTitleCode)TC0000111971 035 $a(PQKBWorkID)10080373 035 $a(PQKB)11270013 035 $a(MiAaPQ)EBC271088 035 $a(StDuBDS)EDZ0002341307 035 $a(Au-PeEL)EBL271088 035 $a(CaPaEBR)ebr10142342 035 $a(CaONFJC)MIL52786 035 $a(EXLCZ)991000000000403379 100 $a19960305d1997 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aBiological NMR spectroscopy$b[electronic resource] /$fedited by John L. Markley, Stanley J. Opella 210 $aNew York ;$aOxford, [England] $cOxford University Press$d1997 215 $a1 online resource (375 p.) 225 1 $aOxford scholarship online 300 $aPreviously issued in print: 1997. 300 $aFestschrift for Oleg Jardetsky. 311 $a0-19-509468-9 320 $aIncludes bibliographical references and index. 327 $aTable of Contents; Introduction; Acknowledgments; Foreword; The Founders Medal; Section 1: History of Biological NMR Spectroscopy; Section 2: Protein Structural Studies; Section 3: Nucleic Acids; Section 4: In vivo Spectroscopy; Index 330 8 $aPresenting a critical assessment of progress on the use of nuclear magnetic resonance spectroscopy to determine the structure of proteins, this text includes brief reviews of the history of the field along with coverage of current clinical and in vivo applications. 410 0$aOxford scholarship online. 606 $aNuclear magnetic resonance spectroscopy 606 $aBiomolecules$xAnalysis 615 0$aNuclear magnetic resonance spectroscopy. 615 0$aBiomolecules$xAnalysis. 676 $a574.19/285/028 701 $aMarkley$b John L$01574291 701 $aOpella$b S. J.$f1947-$01574292 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910784859303321 996 $aBiological NMR spectroscopy$93850501 997 $aUNINA