반응형 분류 전체보기123 (R) Two sample Bootstrap Method I explained why Bootstrap method is important and how to use it in previous post. The difference between the previous one and this post will be the number of samples we are interested in. We want to assume the relationship ,for example the difference between more than one populations, by using bootstrap method. Let's assume that we want to show that weights of male and women are 0, that is weigh.. 2020. 10. 23. Cdf technique We can define the relationship of distributions and the property of distribution by using Cumulative distribution function, which is easily called cdf, F(X=x). In probability, Cumulative distribution function is the probability that X will take a less or equal value to a real value x, which can be expressed as P(X 2020. 10. 21. (R) One-sample Bootstrap Method Let's assume that we wanna get information of Weights of 20-30 Women worldwide. However there are about the 3 billion number of women. We cannot survey every woman in the world in the reason of time and cost limit.So we assume that we have surveyed on only 30 women's weight. It seems nonsense predicting trends of 3 billion population with only 30 samples. However, surprisingly, by using Bootstra.. 2020. 10. 17. MGF Technique We can define the relationship of distributions and the property of distribution by using properties of Moment generating functions. The main reason which makes it possible is that the moment generating functions are unique for each distribution. So If we know the moment generating function, there should be only distribution which correspond to the MGF. Let me give you some typical relationships.. 2020. 10. 17. 이전 1 ··· 10 11 12 13 14 15 16 ··· 31 다음 반응형
