The main purpose of this volume is to provide a new perception of multivariate environmental statistics using some examples that are of concern and interest today. The papers are presented by outstanding research workers. They discuss the current state of the art in different areas of multivariate environmental statistics and provide new problems for future research and instruction. A perspective is to cover a broad spectrum of methods and issues involving multivariate observations and processes, and not just classical multivariate analysis. The book will be valuable to current statistical theory and practice in this area, and will be used by researchers, teachers, and students alike.
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About the Author
C. R. Rao, born in India is one of this century's foremost statisticians, received his education in statistics at the Indian Statistical Institute (ISI), Calcutta. Rao is currently at Penn State as Eberly Professor of Statistics and Director of the Center for Multivariate Analysis. His research has influenced not only statistics, but also the physical, social and natural sciences and engineering.
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First Sentence:
Environmental Statistics is becoming a major, high-profile, identified theme in most of the countries where statistical analysis and research are advancing our understanding of the world we live in. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
minimum maximum exp, compositing objects, unified linear model, extreme deviate test, low variance pcs, composite sample data, composite sample techniques, matrix randomization tests, generalized matrix coefficient, individual sample values, taxonomic extrapolation, toxicological extrapolations, composite sampling procedures, normal error model, environmental distances, observational economy, multinormal population, pure spectra, multivariate environmental statistics, adaptive cluster, sulphate data, weighted averaging method, compositing procedure, deepwater sites, gauged sites Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Monte Carlo, Chesapeake Bay, Elsevier Science Publishers, Key Words, Metal Sediment, Georges Bank, John Wiley, Environmental Protection Agency, Southern New England, Journal of the American Statistical Association, Technical Report, Park Grass, Department of Energy, University Park, Department of Statistics, Academic Press, Annals of Statistics, Bowling Green State University, Oak Ridge, Pacific Northwest Laboratory, Professor of Statistics, Annals of Mathematical Statistics, Oxford University Press, Station Cruise Variable New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Environmental Statistics is becoming a major, high-profile, identified theme in most of the countries where statistical analysis and research are advancing our understanding of the world we live in. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
minimum maximum exp, compositing objects, unified linear model, extreme deviate test, low variance pcs, composite sample data, composite sample techniques, matrix randomization tests, generalized matrix coefficient, individual sample values, taxonomic extrapolation, toxicological extrapolations, composite sampling procedures, normal error model, environmental distances, observational economy, multinormal population, pure spectra, multivariate environmental statistics, adaptive cluster, sulphate data, weighted averaging method, compositing procedure, deepwater sites, gauged sites Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Monte Carlo, Chesapeake Bay, Elsevier Science Publishers, Key Words, Metal Sediment, Georges Bank, John Wiley, Environmental Protection Agency, Southern New England, Journal of the American Statistical Association, Technical Report, Park Grass, Department of Energy, University Park, Department of Statistics, Academic Press, Annals of Statistics, Bowling Green State University, Oak Ridge, Pacific Northwest Laboratory, Professor of Statistics, Annals of Mathematical Statistics, Oxford University Press, Station Cruise Variable New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 76
books:
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26
books
cite this book:
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- Outliers in Statistical Data (Wiley Series in Probability & Statistics) by Vic Barnett on page 468, page 479, and page 487
- Statistics for Spatial Data (Wiley Series in Probability and Statistics) by Noel Cressie on page 106, page 305, and page 384
- Randomization Tests (Statistics: A Series of Textbooks and Monographs) by Eugene Edgington on page 340, page 431, and page 507
- Statistical Methods in Soil and Land Resource Survey (Spatial Information Systems) by R. Webster on page 13, and page 32
- Ecological Diversity in Theory and Practice (Statistical ecology series) by J. F. Grassle on page 73, and page 74
See all 76 books this book cites
- Adaptive Sampling by Steven K. Thompson in Back Matter (1), and Back Matter (2)
- Vegetation Ecology by Eddy van der Maarel on page 83
- Introduction to Computer-Intensive Methods of Data Analysis in Biology by Derek A. Roff in Back Matter
- Ranked Set Sampling: Theory and Applications (Lecture Notes in Statistics) by Zehua Chen in Back Matter
- Advances in Multivariate Data Analysis by Hans-Hermann Bock on page 254
See all 26 books citing this book
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