LEADER 02897nam 2200673 450 001 9910679495703321 005 20230120010754.0 010 $a0-12-799977-9 010 $a1-281-03962-4 010 $a9786611039622 010 $a1-60119-625-3 035 $a(CKB)1000000000810759 035 $a(EBL)1457952 035 $a(OCoLC)862048713 035 $a(SSID)ssj0000072632 035 $a(PQKBManifestationID)11969551 035 $a(PQKBTitleCode)TC0000072632 035 $a(PQKBWorkID)10095262 035 $a(PQKB)11230570 035 $a(PQKBManifestationID)16032190 035 $a(PQKB)23446099 035 $a(MiAaPQ)EBC1457952 035 $a(MiAaPQ)EBC5380892 035 $a(EXLCZ)991000000000810759 100 $a20180618d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aOil $ean overview of the petroleum industry /$fRobert Grace 205 $a6th ed. 210 1$aHouston, Texas :$cGulf Pub.,$d[2007] 210 4$dİ2007 215 $a1 online resource (172 p.) 300 $aIncludes index. 311 $a1-933762-01-2 320 $aIncludes bibliographical references and index. 327 $aFront Cover; Oil: An Overview of the Petroleum Industry; Copyright Page; Table of Contents; Preface; Chapter 1. World Oil; Chapter 2. Where Does Oil Come From?; Chapter 3. How Do We Get It? Drilling for Oil; Chapter 4. To Market! Production and Reservoir Engineering; Appendix A: Abbreviations Used In Making Oil Reports; Appendix B: Regional Stratigraphic Terminology; Appendix C: Sample Leases and Deeds; Appendix D: Energy Equivalents; An Oil Dictionary 330 $aNow in its sixth edition, this guide to the oil industry, written in non-technical language, is a must-read foranyone involved in or curious about the oil industry. Engineers, executives, managers and laypersons will allfind this to be a valuable, entertaining and informative guide that presents a practical study of the operationsinvolved in oil exploration, drilling and production. Since the book's original publication in 1958, this handyvolume has taught thousands about this constantly evolving industry that is so important for our everydayenergy needs. A true must have! 606 $aPetroleum industry and trade 606 $aPetroleum industry and trade$zUnited States 606 $aEnergy industries 606 $aEnergy industries$zUnited States 615 0$aPetroleum industry and trade. 615 0$aPetroleum industry and trade 615 0$aEnergy industries. 615 0$aEnergy industries 676 $a338.2 676 $a338.2/7282 676 $a338.27282 700 $aGrace$b Robert$01018553 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910679495703321 996 $aOil$92396386 997 $aUNINA LEADER 04253nam 22007455 450 001 9910739406103321 005 20250325151138.0 010 $a9783642368097 010 $a3642368093 024 7 $a10.1007/978-3-642-36809-7 035 $a(CKB)2670000000403423 035 $a(EBL)1317691 035 $a(OCoLC)854976127 035 $a(SSID)ssj0000962491 035 $a(PQKBManifestationID)11491865 035 $a(PQKBTitleCode)TC0000962491 035 $a(PQKBWorkID)10969734 035 $a(PQKB)11178315 035 $a(DE-He213)978-3-642-36809-7 035 $a(MiAaPQ)EBC1317691 035 $a(PPN)172426030 035 $a(EXLCZ)992670000000403423 100 $a20130704d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAnalyzing Compositional Data with R /$fby K. Gerald van den Boogaart, Raimon Tolosana-Delgado 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (269 p.) 225 1 $aUse R!,$x2197-5744 300 $aDescription based upon print version of record. 311 08$a9783642368080 311 08$a3642368085 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Fundamental Concepts of Compositional Data Analysis -- Distributions for Random Compositions -- Descriptive Analysis of Compositional Data -- Linear Models for Compositions -- Multivariate Statistics -- Zeroes, Missings and Outliers -- References -- Index.  . 330 $aThis book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practical use in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods, including zeros and missing values, and paying special attention to data visualization and model display issues. Many illustrated examples and code chunks guide the reader into their modeling and interpretation. And, though the book primarily serves as a reference guide for the R package ?compositions,? it is also a general introductory text on Compositional Data Analysis. Awareness of their special characteristics spread in the Geosciences in the early sixties, but a strategy for properly dealing with them was not available until the works of Aitchison in the eighties. Since then, research has expanded our understanding of their theoretical principles and the potentials and limitations of their interpretation. This is the first comprehensive textbook addressing these issues, as well as their practical implications with regard to software. The book is intended for scientists interested in statistically analyzing their compositional data. The subject enjoys relatively broad awareness in the geosciences and environmental sciences, but the spectrum of recent applications also covers areas like medicine, official statistics, and economics. Readers should be familiar with basic univariate and multivariate statistics. Knowledge of R is recommended but not required, as the book is self-contained. 410 0$aUse R!,$x2197-5744 606 $aStatistics 606 $aMathematical statistics$xData processing 606 $aStatistics 606 $aGeochemistry 606 $aStatistical Theory and Methods 606 $aStatistics and Computing 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 606 $aGeochemistry 615 0$aStatistics. 615 0$aMathematical statistics$xData processing. 615 0$aStatistics. 615 0$aGeochemistry. 615 14$aStatistical Theory and Methods. 615 24$aStatistics and Computing. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aGeochemistry. 676 $a005.55 700 $aBoogaart$b Gerald Van den$01759907 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739406103321 996 $aAnalyzing compositional data with R$94198582 997 $aUNINA