GEORGE K. CHACKO is Professor of Systems Science at the University of Southern California, and formerly the manager of operations research at Hughes Semiconductor Division. His previous works include Technology Management (Praeger 1988) and Dynamic Program Management (Praeger 1989).

• Preface Single-Variable Decision-Making with Very Few Data Points Irrevocable Commitment with Incomplete Data Decision-Making with Very Few Data Points Single-Variable Decision-Making with Very Many Data Points Decision-Making with Very Many Data Points Null Hypothesis Foundations of Standard Statistical Tables Multiple-Variable Decision-Making with Very Many Data Points Pairwise and Groupwise Togetherness Dynamic Replication of Reality Single- and Multiple Variable Decision-Making with Very Few Data Points--Single Decision-Makers Improving the Initial Guess with New Data Firm Decisions on Fuzzy Foundations Single and Multiple Variable Decision-Making with Very Few Data Points--Multiple Decision-Makers Attitude Toward Outcomes--Single and Multiple Decision-Makers Aggregate Action-Outcome Anticipations of Multiple Decision-Makers Answers to Questions Appendix: Standard Statistical Tables Bibliography Index

GEORGE K. CHACKO is Professor of Systems Science at the University of Southern California, and formerly the manager of operations research at Hughes Semiconductor Division. His previous works include Technology Management (Praeger 1988) and Dynamic Program Management (Praeger 1989).

• Preface Single-Variable Decision-Making with Very Few Data Points Irrevocable Commitment with Incomplete Data Decision-Making with Very Few Data Points Single-Variable Decision-Making with Very Many Data Points Decision-Making with Very Many Data Points Null Hypothesis Foundations of Standard Statistical Tables Multiple-Variable Decision-Making with Very Many Data Points Pairwise and Groupwise Togetherness Dynamic Replication of Reality Single- and Multiple Variable Decision-Making with Very Few Data Points--Single Decision-Makers Improving the Initial Guess with New Data Firm Decisions on Fuzzy Foundations Single and Multiple Variable Decision-Making with Very Few Data Points--Multiple Decision-Makers Attitude Toward Outcomes--Single and Multiple Decision-Makers Aggregate Action-Outcome Anticipations of Multiple Decision-Makers Answers to Questions Appendix: Standard Statistical Tables Bibliography Index

GEORGE K. CHACKO is Professor of Systems Science at the University of Southern California, and formerly the manager of operations research at Hughes Semiconductor Division. His previous works include Technology Management (Praeger 1988) and Dynamic Program Management (Praeger 1989).

• Preface Single-Variable Decision-Making with Very Few Data Points Irrevocable Commitment with Incomplete Data Decision-Making with Very Few Data Points Single-Variable Decision-Making with Very Many Data Points Decision-Making with Very Many Data Points Null Hypothesis Foundations of Standard Statistical Tables Multiple-Variable Decision-Making with Very Many Data Points Pairwise and Groupwise Togetherness Dynamic Replication of Reality Single- and Multiple Variable Decision-Making with Very Few Data Points--Single Decision-Makers Improving the Initial Guess with New Data Firm Decisions on Fuzzy Foundations Single and Multiple Variable Decision-Making with Very Few Data Points--Multiple Decision-Makers Attitude Toward Outcomes--Single and Multiple Decision-Makers Aggregate Action-Outcome Anticipations of Multiple Decision-Makers Answers to Questions Appendix: Standard Statistical Tables Bibliography Index