Cost Estimation: Methods and ToolsPresents an accessible approach to the cost estimation tools, concepts, and techniques needed to support analytical and cost decisions Written with an easy-to-understand approach, Cost Estimation: Methods and Tools provides comprehensive coverage of the quantitative techniques needed by professional cost estimators and for those wanting to learn about this vibrant career field. Featuring the underlying mathematical and analytical principles of cost estimation, the book focuses on the tools and methods used to predict the research and development, production, and operating and support costs for successful cost estimation in industrial, business, and manufacturing processes. The book begins with a detailed historical perspective and key terms of the cost estimating field in order to develop the necessary background prior to implementing the presented quantitative methods. The book proceeds to fundamental cost estimation methods utilized in the field of cost estimation, including working with inflation indices, regression analysis, learning curves, analogies, cost factors, and wrap rates. With a step-by-step introduction to the practicality of cost estimation and the available resources for obtaining relevant data, Cost Estimation: Methods and Tools also features:
Cost Estimation: Methods and Tools is an excellent reference for academics and practitioners in decision science, operations research, operations management, business, and systems and industrial engineering, as well as a useful guide in support of professional cost estimation training and certification courses for practitioners. The book is also appropriate for graduate-level courses in operations research, operations management, engineering economics, and manufacturing and/or production processes.
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Contents
Reflections on Cost | 1 |
Introduction to Cost Estimating | 11 |
NonDoD Acquisition and the Cost | 32 |
5 | 33 |
7 | 52 |
DATA SOURCES | 61 |
4 | 65 |
Data Normalization | 78 |
linear regression between the two highly correlated independent variables In this case | 194 |
Cumulative Average | 204 |
Production | 218 |
Wrap Rates and StepDown Functions | 231 |
Intercept | 239 |
Cost Factors and the Analogy | 242 |
Software Cost Estimation | 257 |
Cost Benefit Analysis and Risk | 270 |
fund is worth at the end of that day depends on or is conditional on what the other | 99 |
Statistics for Cost Estimators | 105 |
Linear Regression Analysis | 121 |
MultiVariable Linear Regression | 152 |
contribution of an independent variable is the amount of independence between the inde | 160 |
between Independent Variables | 164 |
Intrinsically Linear Regression | 172 |
Unit Theory | 180 |
needed to derive This relationship must be maintained in future calculations in order | 284 |
ables are highly correlated to each other it means that they are very similar in some | 285 |
105 | 286 |
The Field of Cost Estimating | 291 |
model Consider the following regression equations calculated from a missile data set given | 299 |
| 309 | |
| 310 | |


