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Beta Binomial Function in Python

score 7460 · Answer 1 · 2024-11-13 23:19:14

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7460

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Beta Binomial Function in Python

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Efficient sampling from a 'partial' binomial distribution

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score 114 · Answer 3 · 2024-11-01 14:14:02

Comparison between the estimated versus observed Poisson and Binomial distributions does not produce adequate results

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score 110 · Answer 4 · 2024-11-01 08:32:16

Code returns minimal m s.t P(X>m)=1/n^2 for binomial experiment

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score 110 · Answer 5 · 2024-10-26 19:55:09

How do I find "prob=?" in this equation pbinom(q=5,size=10,prob=?,lower.tail=FALSE)=.1?

110 views Asked by Ursus Frost At 26 October 2024 at 19:55

score 235 · Answer 6 · 2024-11-02 21:17:18

Find the two points on the x-axis corresponding to the intersections for a cdf

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score 84 · Answer 7 · 2024-11-01 06:12:39

Coverage probability for an unspecified CDF

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score 115 · Answer 8 · 2024-10-26 20:14:03

Uniroot error when estimating coverage probability for an unspecified distribution

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score 90 · Answer 9 · 2024-10-26 19:58:10

R plotting proportions problem - ggplot making plot that looks like a table

90 views Asked by Johanna At 26 October 2024 at 19:58

score 396 · Answer 10 · 2024-11-01 04:43:33

Confidence interval from binomial distribution: different results using `qbinom` and `binom.test`

396 views Asked by Claudio At 01 November 2024 at 04:43

TechQA.

List Question

Beta Binomial Function in Python

Efficient sampling from a 'partial' binomial distribution

Comparison between the estimated versus observed Poisson and Binomial distributions does not produce adequate results

Code returns minimal m s.t P(X>m)=1/n^2 for binomial experiment

How do I find "prob=?" in this equation pbinom(q=5,size=10,prob=?,lower.tail=FALSE)=.1?

Find the two points on the x-axis corresponding to the intersections for a cdf

Coverage probability for an unspecified CDF

Uniroot error when estimating coverage probability for an unspecified distribution

R plotting proportions problem - ggplot making plot that looks like a table

Confidence interval from binomial distribution: different results using `qbinom` and `binom.test`

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