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The paper evaluates the relationship between the selection of the probability density function and the
construction price, and the price of the building's life cycle, in relation to the deterministic cost estimate in terms
of the minimum, mean, and maximum. The deterministic cost estimates were made based on the minimum,
mean, and maximum prices: labor rates, indirect costs, profit, and the cost of equipment and materials. The net
construction prices received were given different probability density distributions based on the minimum, mean,
and maximum values. Twelve kinds of probability distributions were used: triangular, normal, lognormal, beta
pert, gamma, beta, exponential, Laplace, Cauchy, Gumbel, Rayleigh, and uniform. The results of calculations
with the event probability from 5 to 95% were subjected to the statistical comparative analysis. The
dependencies between the results of calculations were determined, for which different probability density
distributions of price factors were assumed. A certain price level was assigned to specific distributions in 6
groups based on the t-test. It was shown that each of the distributions analyzed is suitable for use, however, it has
consequences in the form of a final result. The lowest final price is obtained using the gamma distribution, the
highest is obtained by the beta distribution, beta pert, normal, and uniform.
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