{'fraction_non_alphanumeric': 0.010158013544018058, 'fraction_numerical': 0.0, 'mean_word_length': 5.474452554744525, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A METAMODEL APPROACH TO SENSITIVITY ANALYSIS OF CAPITAL PROJECT VALUATION

ABSTRACT A method is presented for using statistical experiment design and multiple regression in the sensitivity analysis of engineering economy or capital budgeting studies where multiple factors are subject to uncertainty. Rather than an enumeration of all combinations of possible changes, a metamodel of the behavior of the project is constructed. Application of this methodology can lead to more specific and useful understanding of the effects of various factors on the project value than is practical with Monte Carlo simulation. In addition, the metamodel can be combined with simulation to provide a distribution of outcomes upon which the project's overall risk can be assessed. The method is illustrated using two actual case studies—a municipal building project and an industrial equipment project.