Statistical Decision Theory

Cheng-Few Lee, John Lee, Jow-Ran Chang and Tzu Tai
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Cheng-Few Lee: Rutgers University, Department of Finance
John Lee: Center for PBBEF Research
Jow-Ran Chang: National Tsing Hua University, Department of Quantitative Finance
Tzu Tai: Mezocliq, LLC

Chapter Chapter 21 in Essentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses, 2016, pp 685-698 from Springer

Abstract: Abstract This chapter was originally in Lee et al. (2013). It discusses the statistical decision theory. The main topics covered in this chapter are (1) Four Key Elements of a Decision, (2) Decisions Based on Extreme Values, (3) Expected Monetary Value and Utility Analysis, (4) Bayes Strategies, (5) Decision Trees and Expected Monetary Values, (6) Mean and Variance Trade-Off Analysis (Optional), and (7) The Mean and Variance Method for Capital Budgeting Decisions.

Keywords: Capital budgeting under uncertainty; Decision theory; Event; Expected monetary value; Internal rate of return; IRR; Net present value; NPV; Probability; Statistical decision theory; Statistical distribution method; Utility analysis; Variance of cash flow (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-38867-0_21

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DOI: 10.1007/978-3-319-38867-0_21

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