일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | ||||||
2 | 3 | 4 | 5 | 6 | 7 | 8 |
9 | 10 | 11 | 12 | 13 | 14 | 15 |
16 | 17 | 18 | 19 | 20 | 21 | 22 |
23 | 24 | 25 | 26 | 27 | 28 |
- matplotlib
- 이것이 코딩테스트다
- 시각화
- 태블로
- 데이터 전처리
- 회귀분석
- 코딩테스트
- ML
- SQL
- 이코테
- 자격증
- 통계
- Deep Learning Specialization
- 파이썬
- 머신러닝
- scikit learn
- tableau
- Google ML Bootcamp
- r
- 데이터분석
- SQLD
- Python
- ADsP
- 딥러닝
- pandas
- sklearn
- 데이터 분석
- pytorch
- 데이터분석준전문가
- IRIS
- Today
- Total
함께하는 데이터 분석
[수리통계학] Discrete Distributions 본문
안녕하세요!
오늘은 대표적인 이산형 분포의 종류를 나열해보겠습니다.
1. Discrete Uniform Distribution
: When a pmf is constant on the space R of X; we say that the distribution is a discrete uniform abbreviated by DU.
2. Hypergeometric Distribution
: Suppose there are N1 success objects and N2 failure objects in a collection N = N1 + N2 of similar objects. When n objects are selected from these N objects at random with without replacement. Let the random variable X be the number of success objects among the n objects.
3. Bernoulli Distribution
: A random experiment, the outcome of which can be classified in but one of two mutually exclusive and exhaustive ways - say, success and failure. When Bernoulli experiment is performed several independent times and probability of success(p) remains the same from trial to trial. In addition, we shall frequently let q = 1 - p denote the probability of failure.
4. Binomial Distribution
: 1. A Bernoulli experiment is performed n times
2. The trials are independent
3. The probability of success on each trial is a constant p
4. The random variable X equals the number of successes in the n trials
Let X be a random variable associated with a binomial experiment, we say that X has a binomial distribution with the prob of success p.
5. Geometric Distribution
: A random experiment of observing a sequence of independent Bernoulli trials (probability of success p) until exactly the first success occur. Let X be the number of Bernoulli trials until the first success occur.
6. Negative Binomial Distribution
: A random experiment of observing a sequence of independent Bernoulli trials (probability of success p) until exactly the r-th success occur. Let X be the number of Bernoulli trials until the r-th success occur.
7. Poisson Distribution
: An experiment that counts the number of times a particular event occur in a given time or on given physical object (where mean occurring rate is λ). If we set X to be the number of times a particular event occur in the Poisson experiment.
Relationships between Discrete Distributions
감사합니다!
![](https://t1.daumcdn.net/keditor/emoticon/friends2/large/009.png)
'통계학과 수업 기록 > 수리통계학' 카테고리의 다른 글
[수리통계학] Continuous Distributions (0) | 2022.01.25 |
---|