Health, Safety, and Environmental Data Analysis : A Business Approach

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  • 電子書籍

Health, Safety, and Environmental Data Analysis : A Business Approach

  • 著者名:Joseph, Anthony J.
  • 価格 ¥14,823 (本体¥13,476)
  • CRC Press(2020/07/09発売)
  • ポイント 134pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9780367400804
  • eISBN:9780429605451

ファイル: /

Description

Professionals in environmental health and safety (EHS) management use statistics every day in making decisions. This book was created to provide the quantitative tools and techniques necessary to make important EHS assessments. Readers need not be statistically or mathematically inclined to make the most of this book-mathematical derivations are kept to a minimum and subjects are approached in a simple and factual manner, complemented with plenty of real-world examples.
Chapters 1-3 cover knowledge of basic statistical concepts such as presentation of data, measurements of location and dispersion, and elementary probability and distributions. Data gathering and analysis topics including sampling methods, sampling theory, testing, and interference as well as skills for critically evaluating published numerical material is presented in Chapters 4-6. Chapters 7-11 discuss information generation topics-regression and correlation analysis, time series, linear programming, network and Gnatt charting, and decision analysis-tools that can be used to convert data into meaningful information. Chapter 12 features six examples of projects made successful through statistical approaches being applied. Readers can use these approaches to solve their own unique problems.
Whether you are a EHS professional, manager, or student, Health, Safety, and Environmental Data Analysis: A Business Approach will help you communicate statistical data effectively.

Table of Contents

Basic Statistical Concepts
Presentation of Data
Measures of Location and Dispersion
Probability and Probability Distributions
Data Gathering and Analysis
Sampling Methods
Sampling Theory and Estimation
Testing and Inference
Information Generation
Regression and Correlation
Time Series
Linear Programming
Network and Gnatt Chart
Decision Analysis
Examples of Projects
Selected Bibliography
Index

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