環境科学と経営のための統計学(第2版)<br>Statistics for Environmental Science and Management (Chapman & Hall/crc Applied Environmental Statistics) (2ND)

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環境科学と経営のための統計学(第2版)
Statistics for Environmental Science and Management (Chapman & Hall/crc Applied Environmental Statistics) (2ND)

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  • 製本 Hardcover:ハードカバー版/ページ数 310 p.
  • 言語 ENG
  • 商品コード 9781420061475
  • DDC分類 363.700727

Full Description

Revised, expanded, and updated, this second edition of Statistics for Environmental Science and Management is that rare animal, a resource that works well as a text for graduate courses and a reference for appropriate statistical approaches to specific environmental problems. It is uncommon to find so many important environmental topics covered in one book. Its strength is author Bryan Manly's ability to take a non-mathematical approach while keeping essential mathematical concepts intact. He clearly explains statistics without dwelling on heavy mathematical development.

The book begins by describing the important role statistics play in environmental science. It focuses on how to collect data, highlighting the importance of sampling and experimental design in conducting rigorous science. It presents a variety of key topics specifically related to environmental science such as monitoring, impact assessment, risk assessment, correlated and censored data analysis, to name just a few.

Revised, updated or expanded material on:




Data Quality Objectives
Generalized Linear Models
Spatial Data Analysis
Censored Data
Monte Carlo Risk Assessment

There are numerous books on environmental statistics; however, while some focus on multivariate methods and others on the basic components of probability distributions and how they can be used for modeling phenomenon, most do not include the material on sampling and experimental design that this one does. It is the variety of coverage, not sacrificing too much depth for breadth, that sets this book apart.

Contents

The Role of Statistics in Environmental Science. Environmental Sampling. Models for Data. Drawing Conclusions from Data. Environmental Monitoring. Impact Assessment. Assessing Site Reclamation. Time Series Analysis. Spatial Data Analysis. Censored Data. Monte Carlo Risk Assessment.

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