Bibliographic Information

Environmental statistics

edited by G.P. Patil, C.R. Rao

(Handbook of statistics, v. 12)

North-Holland, 1994

Available at  / 155 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

The question of what environmental statistics is about is particularly important when it comes to the formulation of relevant research and training, whether in academia, agencies, or industries. This volume aims to give a new perception on the subject with some examples that are of concern and interest today. Environmental statistics is in a take-off stage both for reasons of societal challenge and statistical opportunity, and is demanding more and more from non-traditional and innovative statistical approaches. The chapters in this volume, which are specially prepared by several outstanding professionals involved in statistics and the environment, discuss the current state of the art in diverse areas of environmental statistics. The volume provides new perspectives and problems for future research, training, policy and regulation. It will be valuable to researchers, teachers, consultants and graduate students in statistics, environmental statistics, statistical ecology, and quantitative environmental sciences in academia, industries, governmental agencies, laboratories and libraries.

Table of Contents

  • Environmetrics - an emerging science, J.S. Hunter
  • a national center for statistical ecology and environmental statistics - a center without walls, G.P. Patil
  • replicate measurements for data quality and environmental modelling, W.S. Liggett
  • design and analysis of composite sampling procedures - a review, G. Lovison and S.D. Gore
  • ranked set sampling, G.P. Patil
  • environmental adaptive sampling, G.A.F. Seber and S.K. Thompson
  • statistical analysis of censored environmental data, M.G. Akritas
  • biological monitoring - statistical issues and models, E.P. Smith
  • environmental sampling and monitoring, S.V. Stehman
  • ecological statistics, B.F.J. Manly
  • forest biometrics, H.E. Burkhart
  • ecological diversity and forest management, J.H. Gove
  • ornithological statistics, M. North
  • statistical methods in developmental toxicology, P.J. Catalano
  • environmental biometry - assessing impacts of environmental stimuli via airmail and microbial laboratory studies, W.W. Piegorsch
  • stochasticity in deterministic models, J.J.M. Bedaux and S.A.L.M. Kooijman
  • compartmental models of ecological and environmental systems, J.H. Matis
  • environmental remote sensing and geographic information systems-based modelling, W.L. Myers
  • regression analysis of spatially correlated data - the Kanawha county health study, C.A. Donnelly
  • methods for estimating heterogeneous spatial covariance functions with environmental applications, P. Guttorp
  • meta-analysis in environmental statistics, V. Hasselblad
  • statistical methods in atmospheric science, A.R. Solow
  • statistics with agricultural pests and environmental impacts, L.J. Young
  • a crystal cube for coastal and estuarine degradation - selection of endpoints and development of indices for use in decision making, M.T. Boswell and G.P. Patil
  • how does scientific information in general and statistical information in particular input to the environmental regulatory process?, C.R. Cothern
  • environmental regulatory statistics, B. Davis
  • an overview of statistical issues related to environmental cleanup, R.O. Gilbert
  • risk estimation and its relationship to policy decisions - a simplified version of a complex environmental decision problem, H. Lacayo.

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