Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
[PyConKR2017] 온라인 게임에서의 이항 분포
Search
Jangsea Park
August 13, 2017
2
1.1k
[PyConKR2017] 온라인 게임에서의 이항 분포
Jangsea Park
August 13, 2017
Tweet
Share
More Decks by Jangsea Park
See All by Jangsea Park
[PyConKR2017] Best-first search를 이용한 다차원 큐브 탐색
jnsp
3
890
Featured
See All Featured
技術選定の審美眼(2025年版) / Understanding the Spiral of Technologies 2025 edition
twada
PRO
118
110k
SEOcharity - Dark patterns in SEO and UX: How to avoid them and build a more ethical web
sarafernandez
0
150
The innovator’s Mindset - Leading Through an Era of Exponential Change - McGill University 2025
jdejongh
PRO
1
130
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.3k
WENDY [Excerpt]
tessaabrams
9
37k
Balancing Empowerment & Direction
lara
5
950
Unlocking the hidden potential of vector embeddings in international SEO
frankvandijk
0
210
So, you think you're a good person
axbom
PRO
2
2k
Scaling GitHub
holman
464
140k
Building a Scalable Design System with Sketch
lauravandoore
463
34k
Learning to Love Humans: Emotional Interface Design
aarron
275
41k
How to Build an AI Search Optimization Roadmap - Criteria and Steps to Take #SEOIRL
aleyda
1
2k
Transcript
ৡۄੋ ѱীࢲ ೦࠙ನ ইమ ъച ഛܫ ࠙ࢳ -[|]- Box and
Whisker ߅द
Ѿҗܳ ঌ ࣻ হח प
ࠄ ҕр ز ؍ӝ H T Prob: 0.5 Prob: 0.5
ࠄ ҕр ইమ ъച S F Prob: 0.1 Prob: 0.9
ഛܫ ߸ࣻ X S F Prob: 0.1 Prob: 0.9 0
1 2 3 4 5 X
ഛܫ ߸ࣻ X = x X = x {s ∈
S : X(s) = x} X = 1 {success} X = 0 {fail} S F Prob: 0.1 Prob: 0.9 0 1 2 3 4 5 X
ഛܫ ೣࣻ P(X=x) = f(x) P(X = x) = f(x)
P(X = 1) = f(1) = 0.1 P(X = 0) = f(0) = 0.9 S F Prob: 0.1 Prob: 0.9 0 1 2 3 4 5 X f 0 1 0.1 0.9 x p
߬ܰ־ द೯ https://en.wikipedia.org/wiki/Bernoulli_trial S F Prob: 0.1 Prob: 0.9 0
1 2 3 4 5 X f 0 1 0.1 0.9 x p
೦ ࠙ನ https://en.wikipedia.org/wiki/Binomial_distribution
೦ ࠙ನ https://en.wikipedia.org/wiki/Binomial_distribution 0 0 1 2 3 4 5
X f 1 2 3 4 5 6 7 8 9 10 6 7 8 9 10
೦ ࢎѤ ࣻ 1 2 3 4 5
೦ ࠙ನ vs ೦ ࠙ನ ೦࠙ನ fixed n: ୨ द೯
ࣻ p: ࢿҕ ഛܫ variable k: ࢿҕ പࣻ k <= n count ೧ द೯ പࣻ ೞীࢲ ࢿҕೞח പࣻ ೦࠙ನ fixed n: ୨ ࢿҕ പࣻ p: ࢿҕ ഛܫ variable k: पಁ പࣻ 0 <= k < inf count ೧ ࢿҕ പࣻܳ ׳ࢿೡ ٸө पಁೞח പࣻ
೦ ࠙ನ https://en.wikipedia.org/wiki/Negative_binomial_distribution
೦ ࠙ನ https://en.wikipedia.org/wiki/Negative_binomial_distribution 0 0 1 2 3 4 5
X f 1 2 3 4 5 6 7 8 9 inf 6 7 8 inf
೦ ࢎѤ ࣻ 1 2 3 4 p
೦ ࠙ನ ܲ ӝߨ k: पಁ, n: ࢿҕ k: ࢿҕ,
r: पಁ nCr = nCn-r 5 choose 3 = 5 choose 2 x: ୨ दب, r: पಁ x = k + r
P(X<=90) = ?
P(X<=?) = 0.5
P(X<=?) = 0.99
P(X<=?) = 1.0
؊ ࠂೠ ޙઁ: ݽप
None
جܿ౸ 0 0.1
+6ъ 100,000 ݺ
+7ъ 100,000ݺ
+10ъ 100,000ݺ
Q & A