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  • Electronic books.  (4)
  • 2010-2014  (4)
Document type
Keywords
Language
Years
Year
  • 1
    Online Resource
    Online Resource
    Blue Ridge Summit :Rowman & Littlefield Publishers, Incorporated,
    Keywords: Dust - Health aspects. ; Electronic books.
    Description / Table of Contents: Despite exhaustive reports about the September 11th attacks at the World Trade Center, no one report examines the dust that poured from the skies as the buildings collapsed in as much personal and technical detail as Lioy offers here. From his own experiences examining and analyzing the dust, to his work with the various agencies involved in the aftermath of the disaster, the author puts together a compelling examination of the dust itself and the agencies, mechanisms, and people in place to deal with it. This completely fresh perspective sheds new light on one of our nation's darkest moments.
    Type of Medium: Online Resource
    Pages: 1 online resource (273 pages)
    Edition: 1st ed.
    ISBN: 9781442201507
    DDC: 363.738
    Language: English
    Note: Intro -- DUST -- CONTENTS -- FOREWORD -- PROLOGUE -- ACKNOWLEDGMENTS -- Chapter 1 WHEN LIFE CHANGED -- Chapter 2 COLLECTING DUST AT GROUND ZERO -- Chapter 3 FREEING THE WTC DUST -- Chapter 4 THE PATH TO RESEARCH AND SAMPLE ANALYSIS -- Chapter 5 TIMING IS EVERYTHING FOR EXPOSURE -- Chapter 6 A SCIENTIFIC FRAMEWORK -- Chapter 7 THE PRESENCE OF LEAD -- Chapter 8 WHAT WAS IN THAT WTC DUST? -- Chapter 9 INTO THE UNKNOWN: EXPOSURE AND HEALTH -- Chapter 10 TALKING AND WRITING: TO WHAT END? -- Chapter 11 WTC DUST STICKS LIKE GLUE -- Chapter 12 EXPOSURE SCIENCE IN FUTURE CATASTROPHES -- Chapter 13 FINAL THOUGHTS -- APPENDIX A: PRESENTATION OF THE DETAILED DATA SET ON THE COMPOUNDS MEASURED IN THE WTC DUST SAMPLES -- APPENDIX B: ORIGINAL MEMBERS OF TEH WTC TECHNICAL PANEL -- APPENDIX C: COMMENTS ON WTC SIGNATURE STUDY AND PEER REVIEW FROM GREG MEEKER, PAUL LIOY, AND MORT LIPPMANN, NOVEMBER 3, 2005 -- GLOSSARY -- BIBLIOGRAPHY -- INDEX -- ABOUT THE AUTHOR.
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  • 2
    Online Resource
    Online Resource
    Westminster :Random House Publishing Group,
    Keywords: Humans beings--Animal nature. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (136 pages)
    Edition: 1st ed.
    ISBN: 9780307824059
    Series Statement: Modern Library Science Series
    DDC: 573
    Language: English
    Note: Intro -- Title Page -- Copyright -- Biographical Note -- Introduction to the Modern Library Science Series by Stephen Jay Gould -- Contents -- Preface -- Advertisement to the Reader -- Chapter 1: On the Natural History of the Man-like Apes -- Chapter 2: On the Relations of Man to the Lower Animals -- Chapter 3: On Some Fossil Remains of Man -- Also from the Modern Library Science Series.
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  • 3
    Online Resource
    Online Resource
    Blue Ridge Summit :Lexington Books/Fortress Academic,
    Keywords: Human ecology -- Scandinavia -- History. ; Electronic books.
    Description / Table of Contents: In Human Ecodynamics in the North Atlantic: A Collaborative Model of Humans and Nature through Space and Time, Maher and Harrisonhave compiled a series of separate research projects conducted across the North Atlantic region that each contribute greatly to the area of study.
    Type of Medium: Online Resource
    Pages: 1 online resource (254 pages)
    Edition: 1st ed.
    ISBN: 9780739185483
    Language: English
    Note: Intro -- Contents -- List of Figures and Tables -- Preface -- Acknowledgments -- 1 Humans-A Force of Nature -- 2 Shaped by the Sea -- 3 The Prehistoric Village of Old Scatness -- 4 Coupled Human and Natural Systems -- 5 Land of the Dead -- 6 Material Culture and North Atlantic Trade in Iceland and Greenland -- 7 Connecting the Land to the Sea at Gásir -- 8 Losing Sleep Counting Sheep -- 9 Sorting Sheep and Goats in Medieval Iceland and Greenland -- 10 Climate-Related Farm-to-Shieling Transition at E74 Qorlortorsuaq in Norse Greenland -- 11 Landscape Legacies of the Icelandic Landnám -- 12 North Atlantic Human Ecodynamics Research -- Index -- About the Contributors.
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  • 4
    Online Resource
    Online Resource
    Oxford :Oxford University Press, Incorporated,
    Keywords: Hurricanes -- Forecasting -- Statistical methods. ; R (Computer program language). ; Electronic books.
    Description / Table of Contents: Hurricane Climatology explains how to analyze and model hurricane data to better understand and predict present and future hurricane activity.
    Type of Medium: Online Resource
    Pages: 1 online resource (390 pages)
    Edition: 1st ed.
    ISBN: 9780199827640
    DDC: 551.5520285555
    Language: English
    Note: Cover -- Contents -- Preface -- Part One: Data, Statistics, and Software -- 1. Hurricanes, Climate, and Statistics -- 1.1. Hurricanes -- 1.2. Climate -- 1.3. Statistics -- 1.4. R -- 1.5. Organization -- 2. R Tutorial -- 2.1. Introduction -- 2.2. Data -- 2.3. Tables and Plots -- 3. Classical Statistics -- 3.1. Descriptive Statistics -- 3.2. Probability and Distributions -- 3.3. One-Sample Test -- 3.4. Wilcoxon Signed-Rank Test -- 3.5. Two-Sample Test -- 3.6. Statistical Formula -- 3.7. Two-Sample Wilcoxon Test -- 3.8. Compare Variances -- 3.9. Correlation -- 3.10. Linear Regression -- 3.11. Multiple Linear Regression -- 4. Bayesian Statistics -- 4.1. Learning about the Proportion of Landfalls -- 4.2. Inference -- 4.3. Credible Interval -- 4.4. Predictive Density -- 4.5. Is Bayes's Rule Needed? -- 4.6. Bayesian Computation -- 5. Graphs and Maps -- 5.1. Graphs -- 5.2. Time Series -- 5.3. Maps -- 5.4. Coordinate Reference Systems -- 5.5. Export -- 5.6. Other Graphic Packages -- 6. Data Sets -- 6.1. Best-Tracks Data -- 6.2. Annual Aggregation -- 6.3. Coastal County Winds -- 6.4. NetCDF Files -- Part Two: Models and Methods -- 7. Frequency Models -- 7.1. Counts -- 7.2. Environmental Variables -- 7.3. Bivariate Relationships -- 7.4. Poisson Regression -- 7.5. Model Predictions -- 7.6. Forecast Skill -- 7.7. Nonlinear Regression Structure -- 7.8. Zero-Inflated Count Model -- 7.9. Machine Learning -- 7.10. Logistic Regression -- 8. Intensity Models -- 8.1. Lifetime Highest Intensity -- 8.2. Fastest Hurricane Winds -- 8.3. Categorical Wind Speeds by County -- 9. Spatial Models -- 9.1. Track Hexagons -- 9.2. SST Data -- 9.3. SST and Intensity -- 9.4. Spatial Autocorrelation -- 9.5. Spatial Regression Models -- 9.6. Spatial Interpolation -- 10. Time Series Models -- 10.1. Time Series Overlays -- 10.2. Discrete Time Series -- 10.3. Change Points. , 10.4. Continuous Time Series -- 10.5. Time-Series Network -- 11. Cluster Models -- 11.1. Time Clusters -- 11.2. Spatial Clusters -- 11.3. Feature Clusters -- 12. Bayesian Models -- 12.1. Long-Range Outlook -- 12.2. Seasonal Model -- 12.3. Consensus Model -- 12.4. Space-Time Model -- 13. Impact Models -- 13.1. Extreme Losses -- 13.2. Future Wind Damage -- Appendix A. R Functions -- Appendix B. R Packages -- Appendix C. Data sets -- Bibliography -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- V -- W -- Z.
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