LEADER 00688nam0-22002651i-450- 001 990002626660403321 035 $a000262666 035 $aFED01000262666 035 $a(Aleph)000262666FED01 035 $a000262666 100 $a20000920d1978----km-y0itay50------ba 101 0 $aENG 200 1 $a<>board and management audit$fdi WASBROO K 205 $a$a 210 $aOxford$cAlean$d1978 215 $a8$d262 pp. 700 1$aWashbrook,$bHarry$0107212 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990002626660403321 952 $a1-9-106-TI$b4934$fECA 959 $aECA 996 $aBoard and management audit$9432299 997 $aUNINA DB $aING01 LEADER 05448oam 2200673I 450 001 9910461772703321 005 20200520144314.0 010 $a1-283-52115-6 010 $a9786613833600 010 $a0-203-13529-6 010 $a1-136-48418-3 024 7 $a10.4324/9780203135297 035 $a(CKB)2670000000230880 035 $a(EBL)987910 035 $a(OCoLC)804661675 035 $a(SSID)ssj0000694865 035 $a(PQKBManifestationID)12269216 035 $a(PQKBTitleCode)TC0000694865 035 $a(PQKBWorkID)10675469 035 $a(PQKB)10336396 035 $a(MiAaPQ)EBC987910 035 $a(Au-PeEL)EBL987910 035 $a(CaPaEBR)ebr10589002 035 $a(CaONFJC)MIL383360 035 $a(OCoLC)805071288 035 $a(EXLCZ)992670000000230880 100 $a20180706d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aApplied statistics for the social and health sciences /$fRachel A. Gordon 210 1$aNew York, N.Y. :$cRoutledge,$d2012. 215 $a1 online resource (1583 p.) 300 $aDescription based upon print version of record. 311 $a0-415-87536-6 320 $aIncludes bibliographical references and index. 327 $aFront Cover; APPLIED STATISTICS FOR THE SOCIAL AND HEALTH SCIENCES; Title Page; Copyright; TABLE OF CONTENTS IN BRIEF; TABLE OF CONTENTS IN DETAIL; Preface; Acknowledgments; PART 1: GETTING STARTED; Chapter 1: Examples of Quantitative Research in the Social and Health Sciences; 1.1 What is Regression Analysis?; 1.2 Literature Excerpt 1.1; 1.3 Literature Excerpt 1.2; 1.4 Literature Excerpt 1.3; 1.5 Literature Excerpt 1.4; 1.6 Summary; Chapter 2: Planning a Quantitative Research Project With Existing Data; 2.1 Sources of Existing Data; 2.2 Thinking Forward; 2.3 Example Research Questions 327 $a2.4 Example of Locating Studies in ICPSR2.5 Summary; Chapter 3: Basic Features of Statistical Packages and Data Documentation; 3.1 How are our Data Stored in the Computer?; 3.2 Why Learn Both SAS and STATA?; 3.3 Getting Started with a Quantitative Research Project; 3.4 Summary; Chapter 4: Basics of Writing Batch Programs with Statistical Packages; 4.1 Getting Started with SAS and Stata; 4.2 Writing a Simple Batch Program; 4.3 Expanding the Batch Program to Create New Variables; 4.4 Expanding the Batch Program to Keep a Subset of Cases; 4.5 Complex Sampling Designs; 4.6 Some Finishing Touches 327 $a4.7 SummaryPART 2: BASIC DESCRIPTIVE AND INFERENTIAL STATISTICS; Chapter 5: Basic Descriptive Statistics; 5.1 Types of Variables; 5.2 Literature Excerpts 5.1 and 5.2; 5.3 Nominal Variables; 5.4 Ordinal Variables; 5.5 Interval Variables; 5.6 Weighted Statistics; 5.7 Creating a Descriptive Table; 5.8 Summary; Chapter 6: Sample, Population and Sampling Distributions; 6.1 Statistical Inference; 6.2 Population and Sample Distributions; 6.3 The Sampling Distribution; 6.4 General Concepts for Statistical Inference; 6.5 Other Common Theoretical Distributions; 6.6 Summary 327 $aChapter 7: Bivariate Inferential Statistics7.1 Literature Excerpts; 7.2 One Categorical and One Interval Variable; 7.3 Two Categorical Variables; 7.4 Two Interval Variables; 7.5 Weighted Statistics; 7.6 Summary; PART 3: ORDINARY LEAST SQUARES REGRESSION; Chapter 8: Basic Concepts of Bivariate Regression; 8.1 Algebraic and Geometric Representations of Bivariate Regression; 8.2 The Population Regression Line; 8.3 The Sample Regression Line; 8.4 Ordinary Least Squares Estimators; 8.5 Complex Sampling Designs; 8.6 Summary; Chapter 9: Basic Concepts of Multiple Regression 327 $a9.1 Algebraic and Geometric Representations of Multiple Regression9.2 OLS Estimation of the Multiple Regression Model; 9.3 Conducting Multiple Hypothesis Tests; 9.4 General Linear F-Test; 9.5 R -Squared; 9.6 Information Criteria; 9.7 Literature Excerpt 9.1; 9.8 Summary; Chapter 10: Dummy Variables Dummy Variables; 10.1 Why is a Different Approach Needed for Nominal and Ordinal Predictor Variables?; 10.2 How Do We Define Dummy Variables?; 10.3 Interpreting Dummy Variable Regression Models; 10.4 Putting It All Together; 10.5 Complex Sampling Designs; 10.6 Summary; Chapter 11: Interactions 327 $a11.1 Literature Excerpt 11.1 330 $aApplied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health science branches such as human development, public health, sociology, psychology, education, and social work in which students bring a wide range of mathematical skills and have a wide range of methodological affinities. For these students, a successful course in statistics will not only offer statisti 606 $aSocial sciences$xStatistical methods 606 $aPublic health$xStatistical methods 608 $aElectronic books. 615 0$aSocial sciences$xStatistical methods. 615 0$aPublic health$xStatistical methods. 676 $a519.5 700 $aGordon$b Rachel A.$0884983 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910461772703321 996 $aApplied statistics for the social and health sciences$91975945 997 $aUNINA LEADER 04182nam 2200625 a 450 001 9910781774003321 005 20230725050833.0 010 $a0-309-21214-6 010 $a1-283-21344-3 010 $a9786613213440 010 $a0-309-21212-X 035 $a(CKB)2550000000043038 035 $a(OCoLC)753627558 035 $a(CaPaEBR)ebrary10488619 035 $a(SSID)ssj0000565639 035 $a(PQKBManifestationID)12206855 035 $a(PQKBTitleCode)TC0000565639 035 $a(PQKBWorkID)10528981 035 $a(PQKB)11637152 035 $a(MiAaPQ)EBC3378798 035 $a(Au-PeEL)EBL3378798 035 $a(CaPaEBR)ebr10488619 035 $a(CaONFJC)MIL321344 035 $a(OCoLC)923283604 035 $a(EXLCZ)992550000000043038 100 $a20110827d2011 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMaterials needs and R&D strategy for future military aerospace propulsion systems$b[electronic resource] /$fCommittee on Materials Needs and R&D Strategy for Future Military Aerospace Propulsion Systems, National Materials and Manufacturing Board, Division on Engineering and Physical Sciences, National Research Council of the National Academies 210 $aWashington, D.C. $cNational Academies Press$d2011 215 $a1 online resource (213 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-309-21211-1 320 $aIncludes bibliographical references. 330 $a"The ongoing development of military aerospace platforms requires continuous technology advances in order to provide the nation's war fighters with the desired advantage. Significant advances in the performance and efficiency of jet and rocket propulsion systems are strongly dependent on the development of lighter more durable high-temperature materials. Materials development has been significantly reduced in the United States since the early 1990s, when the Department of Defense (DOD), the military services, and industry had very active materials development activities to underpin the development of new propulsion systems. This resulted in significant improvements in all engine characteristics and established the United States in global propulsion technology. Many of the significant advances in aircraft and rocket propulsion have been enabled by improved materials and, materials manufacturing processes. To improve efficiency further, engine weight must be reduced while preserving thrust. Materials Needs and Research and Development Strategy for Future Military Aerospace Propulsion Systems examines whether current and planned U.S. efforts are sufficient to meet U.S. military needs while keeping the U.S. on the leading edge of propulsion technology. This report considers mechanisms for the timely insertion of materials in propulsion systems and how these mechanisms might be improved, and describes the general elements of research and development strategies to develop materials for future military aerospace propulsion systems. The conclusions and recommendations asserted in this report will enhance the efficiency, level of effort, and impact of DOD materials development activities."--Publisher's description. 606 $aAirplanes$xJet propulsion 606 $aAerospace industries$xMilitary aspects 607 $aUnited States$xDefenses 607 $aUnited States$xArmed Forces$xOperational readiness 615 0$aAirplanes$xJet propulsion. 615 0$aAerospace industries$xMilitary aspects. 676 $a623.74/6049 712 02$aNational Research Council (U.S.).$bCommittee on Materials Needs and R&D Strategy for Future Military Aerospace Propulsion Systems. 712 02$aNational Research Council (U.S.).$bNational Materials and Manufacturing Board. 712 02$aNational Research Council (U.S.).$bDivision on Engineering and Physical Sciences. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910781774003321 996 $aMaterials needs and R&D strategy for future military aerospace propulsion systems$93863181 997 $aUNINA