statistics

问题 The task I have data that looks like this: I want to fit a generalized linear model (glm) to this from a gamma family using statsmodels . Using this model, for each of my observations I want to calculate the probability of observing a value that is smaller than (or equal to) that value. In other words I want to calculate: P(y <= y_i | x_i) My questions How do I get the shape and scale parameters from the fitted glm in statsmodels ? According to this question the scale parameter in statsmodels

问题 I have some data of time (hours of the day). I would like to fit a von mises distribution to this data, and find the periodic mean. How do I do this using scipy in python ? for example : from scipy.stats import vonmises data = [1, 2, 22, 23] A = vonmises.fit(data) I am not sure how do I get the distribution (interval probably) and periodic mean of this data using fit or mean or interval methods. 回答1: Good job on finding the VM distribution. That's half of the battle. But unless I'm mistaken

问题 I have some data of time (hours of the day). I would like to fit a von mises distribution to this data, and find the periodic mean. How do I do this using scipy in python ? for example : from scipy.stats import vonmises data = [1, 2, 22, 23] A = vonmises.fit(data) I am not sure how do I get the distribution (interval probably) and periodic mean of this data using fit or mean or interval methods. 回答1: Good job on finding the VM distribution. That's half of the battle. But unless I'm mistaken

问题 I am doing my graduation project in the field of computer vision, and i have only taken one course in statistics that discussed very basic concepts, and now i am facing more difficulty in rather advanced topics, so i need help (book, tutorial, course, ..etc) to grasp and review the basic ideas and concepts in statistics and then dive into the details ( statistical details ) used in computer vision. 回答1: I assume you want something around the pattern recognition and machine learning fields. If

问题 I am doing my graduation project in the field of computer vision, and i have only taken one course in statistics that discussed very basic concepts, and now i am facing more difficulty in rather advanced topics, so i need help (book, tutorial, course, ..etc) to grasp and review the basic ideas and concepts in statistics and then dive into the details ( statistical details ) used in computer vision. 回答1: I assume you want something around the pattern recognition and machine learning fields. If

问题 I am doing my graduation project in the field of computer vision, and i have only taken one course in statistics that discussed very basic concepts, and now i am facing more difficulty in rather advanced topics, so i need help (book, tutorial, course, ..etc) to grasp and review the basic ideas and concepts in statistics and then dive into the details ( statistical details ) used in computer vision. 回答1: I assume you want something around the pattern recognition and machine learning fields. If

问题 I have a trajectory file from simulation of 20,000 frames with 5 ps time in between every frame, what I want to do is to calculate diffusion in 2 dimension (x and y axis). but to calculate diffusion in 2D, first I have to calculate Mean square displacement of the molecule under study. MSD calculates the average time taken by molecule to explore the system in random walks. I am very new to python programming and I would really want some help to get started this problem and to solve this

问题 I am not trying to solve any particular problem, but trying to learn R and understand its logical negation operator "!" documented on page http://stat.ethz.ch/R-manual/R-devel/library/base/html/Logic.html It works for me when used in combination with =, in expressions such as: 1 != 2 TRUE But I can't quite comprehend standalone application of this operator. For instance, can I use it to select elements of the list which do not have specific name. Here's my attempt to do that, but it did not

来源： https://stackoverflow.com/questions/54956460/need-of-bonferroni-correction-in-a-b-testing

来源： https://stackoverflow.com/questions/60583157/clustering-quick-transfer-stage-steps-exceeded-maximum