Die Studies Statistics
From SILVER
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Revision as of 18:25, 24 November 2022
| Number of obversesNumber of obverse dies. ᵖ (o) | Number of singletons (o1)The number of singleton coins. ᵖ | ||
| Number of reverse diesNumber of reverse dies. (r) | |||
| Number of coinsNumber of coins. (n) | |||
| Coins per obverse dieNumber of coins per obverse die. (n/o) | Coins per reverse dieNumber of coins per reverse die. (n/r) | ||
| Reverse per obverse ratioRatio of obverse dies divided by reverse dies. (r/o) | Weight of silver if 20,000 coins per die | ||
| Original number of dies (O) (Carter 1983 formula)The estimation of the number of coins according to Carter 1983 ᵖ | Coins struck if 20,000 as average productivity per dieCoins made if the average productivity for obverses (according to Carter) is 20,000. ᵖ | ||
| Original number of dies (O) (Esty 2011 formula)The estimation of the number of coins according to the singleton formula in Esty 2011 ᵖ (O) | Survival rate if 20,000 as average productivity per dieSurvival rate if average productivity is 20,000. ᵖ | ||
| Esty 2011 – formula 1The estimation of the number of coins according to the formula 1 in Esty 2011 ᵖ (O) | Die productivity if survival rate 1/2,000Average productivity if survival rate is 1/2,000. ᵖ | ||
| Coverage (o = % of O) (Esty 1984 formula)Esty 1984 - coverage (% of O) ᵖ (o = % of O) | Die productivity if survival rate 1/5,000Average productivity if survival rate is 1/5,000. ᵖ |
