TY  - BOOK
AU  - Hahn,Gerald J.
AU  - Doganaksoy,Necip
TI  - The role of statistics in business and industry
SN  - 047121874X
AV  - QA276 .H2195 2008
U1  - 519.5 22
PY  - 2008///]
CY  - Hoboken, N.J.
PB  - Wiley
KW  - Mathematical statistics
KW  - Commercial statistics
N1  - Includes bibliographical references (pages 321-333) and index; Part I; Setting the Stage --; 1; Statistics: An Overview --; 1.1; About this Chapter --; 1.2; What is Statistics? --; 1.3; Areas of Application --; 1.4; Statistical Literacy --; 1.5; Better Decisions Require Better Data --; 1.6; Statistical Thinking --; 1.7; Related Disciplines --; 1.8; Major Takeaways --; 2; Statistics in Business and Industry --; 2.1; About this Chapter --; 2.2; Evolution of Statistics for Manufactured Product Applications --; 2.3; Applications Beyond Manufactured Products --; 2.4; Forces Impacting the Use of Statistics Today --; 2.5; Major Takeaways --; Part II; Manufactured Product Applications --; 3; Product Design: Concepts --; 3.1; About this Chapter --; 3.2; The Product Design Process --; 3.3; Setting the Design Goals --; 3.4; Ensuring Measurement Capability --; 3.5; Design and Development --; 3.6; Design Validation --; 3.7; Transition to Manufacturing --; 3.8; Major Takeaways --; 4; Product Design: Example --; 4.1; About this Chapter --; 4.2; Thermoplastic Resin for Child Car Seat: Introduction --; 4.3; Some Basic Elements of Plastic Part Design and Manufacture --; 4.4; Setting the Design Goals --; 4.5; Ensuring Measurement Capability --; 4.6; Design and Development --; 4.7; Design Validation --; 4.8; Transition to Manufacturing --; 4.9; Major Takeaways --; 5; Product Reliability Assurance --; 5.1; About this Chapter --; 5.2; The Key Role of Reliability --; 5.3; Design for Reliability: The Need --; 5.4; The Process and the Participants --; 5.5; Setting Reliability Goals --; 5.6; Reliability Evaluation of a Conceptual Design --; 5.7; Product Reliability Development --; 5.8; Reliability Validation --; 5.9; Product Safety --; 5.10; Reliability Growth Analysis --; 5.11; Product Burn-In --; 5.12; Software Reliability --; 5.13; Further Reading --; 5.14; Major Takeaways --; 6; Manufacturing Quality Improvement: Concepts --; 6.1; About this Chapter --; 6.2; The Need for Manufacturing Quality Improvement --; 6.3; Different Industries --; 6.4; Considerations in Manufacturing Quality Improvement --; 6.5; Disciplined Approaches to Manufacturing Quality Improvement --; 6.6; Quality Assessment and Improvement --; 6.7; Statistical Monitoring --; 6.8; Major Takeaways --; 7; Manufacturing Quality Improvement: Example --; 7.1; About this Chapter --; 7.2; Generator Stator Bar Example --; 7.3; Manufacturing Capability and Stability Assessment --; 7.4; Addressing Measurement Error --; 7.5; Reducing Deviations from Target and Variability --; 7.6; Statistical Monitoring --; 8; Product Manufacturing: Further Applications --; 8.1; About this Chapter --; 8.2; Integrating Engineering Process Control and Statistical Process Control --; 8.3; Polymer Resin Example --; 8.4; Materials and Parts Quality Assurance --; 8.5; Final Product Assessment --; 8.6; Productivity Improvement --; 8.7; Major Takeaways --; 9; Product Field Support --; 9.1; About this Chapter --; 9.2; Reliability Data Tracking --; 9.3; Reliability Data Tracking for Nonrepairable Products --; 9.4; Reliability Data Tracking for Repairable Products --; 9.5; Planning the Failure Reporting System --; 9.6; A Note on Product Safety --; 9.7; Tracking Customer Satisfaction --; 9.8; Competitive Evaluations and Advertising Claims --; 9.9; Proactive Product Servicing --; 9.10; Major Takeaways --; Part III; Other Applications --; 10; Pharmaceutical Products --; 10.1; About this Chapter --; 10.2; Drug Development: Process Overview --; 10.3; The Role of a Pharmaceutical Statistician: An Overview --; 10.4; Preclinical Studies --; 10.5; Clinical Studies --; 10.6; Case Study: Phase 2 Clinical Trial --; 10.7; Regulatory Review --; 10.8; Some Other Applications --; 10.9; Some Statistical Tools Used in Pharmaceutical Applications --; 10.10; Sources of Further Information --; 10.11; Major Takeaways --; 11; Financial Services --; 11.1; About this Chapter --; 11.2; Financial Services and Its Uncertainties: --; 11.3; Credit Scoring for Consumer Loan Approval --; 11.4; Credit Scoring Example --; 11.5; Model Development and Implementation: Some Important Nitty-Gritties --; 11.6; Modeling in Credit Management: A Broader Look --; 11.7; Specific Application Areas --; 11.8; Statisticians in Financial Services --; 11.9; Further Reading --; 11.10; Major Takeaways --; 12; Business Processes --; 12.1; About this Chapter --; 12.2; Business Processes --; 12.3; Example: Improving the Loan Decision Process for a Business Equipment Financing Company --; 12.4; Steps for Process Improvement --; 12.5; Another Example: Improving the Skip Tracing Process --; 12.6; Some Further Concepts and Methods --; 12.7; Operations Research and Management Science --; 12.8; Major Takeaways --; 13; Further Applications --; 13.1; About this Chapter --; 13.2; Food, Beverage and Related Industries --; 13.3; Semiconductor Industry --; 13.4; Communications Industry --; 13.5; Statistical Image Analysis for Medical, Security and Other Applications --; 13.6; Other Application Areas --; 13.7; Emerging Areas: A Glance Into the Future --; 13.8; Major Takeaway
N2  - "This book is truly unique in that it first describes case studies and key business problems, and then shows how statistics is used to address them, while most literature on the topic does the reverse. This approach provides a comprehensive understanding of common issues and the most effective methods for their treatment. Each chapter concludes with general questions that allow the reader to test their understanding of the presented statistical concepts as well as technical questions that raise more complex issues. An extensive FTP site provides additional material, including solutions to some of the applications. With its accessible style and real-world examples, The Role of Statistics in Business and Industry is a valuable supplement for courses on applied statistics and statistical consulting at the upper-undergraduate and graduate levels. It is also an ideal resource for early-career statisticians and practitioners who would like to learn the value of applying statistics to their everyday work."--Publisher's website
ER  -