Decision-Making under Uncertainty: An Applied Statistics Approach Book

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