LEADER 01792oam 2200409 450 001 9910708645203321 005 20171020140014.0 035 $a(CKB)5470000002470775 035 $a(OCoLC)982186005 035 $a(EXLCZ)995470000002470775 100 $a20170412d2017 ua 0 101 0 $aeng 135 $aurbn||||a|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Department of Energy's role in advancing the national, economic, and energy security of the United States $ehearing before the Subcommittee on Energy and Power of the Committee on Energy and Commerce, House of Representatives, One Hundred Fourteenth Congress, second session, September 15, 2016 210 1$aWashington :$cU.S. Government Publishing Office,$d2017. 215 $a1 online resource (iii, 74 pages) 300 $aPaper version available for sale by the Superintendent of Documents, U.S. Government Publishing Office. 300 $a"Serial no. 114-170." 320 $aIncludes bibliographical references. 517 $aDepartment of Energy's role in advancing the national, economic, and energy security of the United States 606 $aEnergy security$xGovernment policy$zUnited States 606 $aEnergy policy$zUnited States 606 $aEnergy development$xGovernment policy$zUnited States 608 $aLegislative hearings.$2lcgft 615 0$aEnergy security$xGovernment policy 615 0$aEnergy policy 615 0$aEnergy development$xGovernment policy 801 0$bGPO 801 1$bGPO 801 2$bGPO 906 $aBOOK 912 $a9910708645203321 996 $aThe Department of Energy's role in advancing the national, economic, and energy security of the United States$93549076 997 $aUNINA LEADER 01772nim 2200421Ka 450 001 9910155612303321 005 20251118110509.0 010 $a1-61544-034-8 035 $a(CKB)3710000000975553 035 $a(ODN)ODN0009025985 035 $a(ODN)ODN0000315604 035 $a(EXLCZ)993710000000975553 100 $a20220602d2016 uy 0 101 0 $aeng 135 $auruna---||||| 181 $cspw$2rdacontent 182 $cs$2rdamedia 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe human shadow /$fRobert Bly 205 $aUnabridged. 210 $aSolon $cBetter Listen$d2016 215 $a1 online resource (3 audio files) $cdigital 300 $aUnabridged. 330 $aThrough poetry, music and storytelling, Robert Bly takes us on a thought provoking and entertaining journey captured by this extraordinary live audio program recorded at the Open Center in New York City. Bly says parents make it clear there are certain parts of us they don't like, 'you're too noisy' ... One image is to say we take that part and put it into a bag. 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Introduction; Chapter 2. Introduction to the Bayesian Analysis of a Statistical Model; Chapter 3. WinBUGS; Chapter 4. A First Session in WinBUGS: The "Model of the Mean"; Chapter 5. Running WinBUGS from R via R2WinBUGS; Chapter 6. Key Components of (Generalized) Linear Models: Statistical Distributions and the Linear Predictor; Chapter 7. t-Test: Equal and Unequal Variances; Chapter 8. Normal Linear Regression; Chapter 9. Normal One-Way ANOVA; 9.1 Introduction: Fixed and Random Effects; Chapter 10. Normal Two-Way ANOVA 327 $aChapter 11. General Linear Model (ANCOVA)Chapter 12. Linear Mixed-Effects Model; Chapter 13. Introduction to the Generalized Linear Model: Poisson "t-test"; Chapter 14. Overdispersion, Zero-Inflation, and Offsets in the GLM; Chapter 15. Poisson ANCOVA; Chapter 16. Poisson Mixed-Effects Model (Poisson GLMM); Chapter 17. Binomial "t-Test"; Chapter 18. Binomial Analysis of Covariance; Chapter 19. Binomial Mixed-Effects Model (Binomial GLMM); Chapter 20. Nonstandard GLMMs 1: Site-Occupancy Species Distribution Model; Chapter 21. Nonstandard GLMMs 2: Binomial Mixture Model to Model Abundance 327 $aChapter 22. Conclusions Appendix: A List of WinBUGS Tricks 330 $aBayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program WinBUGS and its open-source sister OpenBugs is currently the only flexible and general-purpose program available with which the average ecologist can conduct standard and non-standard Bayesian statistics. Introduction to WINBUGS for Ecologists goes right to the heart of the matter by providing ecologists with a comprehensive, yet concise, guide to applying WinBUGS to the types of models that they use most often: linear (LM), generalized linear (GLM), 606 $aBiometry$xData processing 615 0$aBiometry$xData processing. 676 $a577.01/5118 700 $aKe?ry$b Marc$01798642 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910957655003321 996 $aIntroduction to WinBUGS for ecologists$94481227 997 $aUNINA