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Benefit cost analysis (BCA) is the best technique for analyzing proposed or previously enacted projects to determine whether undertaking them is in the public interest, or for choosing between two or more mutually exclusive projects. An introduction to BCA for students as well as practitioners, this accessible volume describes the underlying economic theory and legal and philosophical foundations of BCA. BCA provides an objective framework around which discussion, correction and amendment can take place. Stated simply, it is the calculation of values for all the inputs and outputs from a project and then the subtraction of the first from the second. The authors goal here is to take the mystery out of the process. They discuss practical issues of market-based valuation and aggregation, non-market valuation, practical applications of general equilibrium models, issues in discounting, and the impacts of risk and uncertainty in BCA. They also provide a list of resources and case studies looking at ethanol and the use of cellular phones by drivers. Straightforward in style and cutting-edge in coverage, this volume will be highly usable both as a text and a reference. Advanced undergraduates and masters students in public policy, public administration, economics and health care administration programs will find this a valuable resource. It will also be of great use to agencies that perform benefit cost analyses.
Statistical Methods for SPC and TQM sets out to fill the gap for those in statistical process control (SPC) and total quality management (TQM) who need a practical guide to the logical basis of data presentation, control charting, and capability indices. Statistical theory is introduced in a practical context, usually by way of numerical examples. Several methods familiar to statisticians have been simplified to make them more accessible. Suitable tabulations of these functions are included; in several cases, effective and simple approximations are offered. Contents Data Collection and Graphical Summaries Numerical Data Summaries-Location and Dispersion Probability and Distribution Sampling, Estimation, and Confidence Sample Tests of Hypothesis; "Significance Tests" Control Charts for Process Management and Improvement Control Charts for Average and Variation Control Charts for "Single-Valued" Observations Control Charts for Attributes and Events Control Charts: Problems and Special Cases Cusum Methods Process Capability-Attributes, Events, and Normally Distributed Data Capability; Non-Normal Distributions Evaluating the Precision of a Measurement System (Gauge Capability) Getting More from Control Chart Data SPC in "Non-Product" Applications Appendices
This in-depth introduction to SPC examines the technical aspects of the practices and procedures that are used to apply the quality management system in manufacturing. As in the successful first edition, the author provides a description and history of SPC along with an analysis of how it is applied to control quality costs, productivity, product improvement, and work efficiency. New to this edition are an explanation of seven basic tools, new charts, and an exploration of current trends.
"Offers an accessible account of quality control and features forms, worksheets, and step-by-step procedures that simplify statistical process control - showing how to build a business that will thrive in today's economy. "
The collection of articles published in this eBook represent different facets of the interactions between pathogens and their host concerning the battle for iron. Pathogens have developed different strategies to acquire iron from their host. These include the production of siderophores, heme acquisition and ferrous iron uptake.