I am interested in pursuing a phd and researching social decision analysis (think fields like game theory, asymmetric information, decision theory, etc)
I often associate these fields with economics but would it make sense to pursue a phd in statistics if I want to study these things?
外围体育投注The greater question I’m trying to answer is “what questions does the field of statistics try to ask/answer?”. For example, economics aims to understand how different entities interact rationally and thus phd economics research is very social (can be applied to people). Is research in statistics social like economics or purely scientific? What knowledge is gained from research in statistics? I envision research topics being something like trying to improve methods for data analysis or trying to better evaluate machine learning models. Is this accurate?
I would really appreciate hearing about different fields of research in statistics. Specifically, what do you research? what is the day to day like? What do you read about? What questions are you trying to answer? Is it social/ non-social?
外围体育投注I would really appreciate as much detail as possible (just saying “I study machine learning/ Bayesian methods/ probability”) is not very helpful. I’m really trying to get a feel for what phd research is like.
I am currently working on my thesis and I can't find the solution to my problem. My survey closed last friday and I am currently prepping my data for analysis. My survey was sent to a total of 62 cities. However, I noticed that a few respondents collaborated. This isn't a surprise, but I don't know how to handle this.
Should I copy and 'split' the results? Or leave it as is?
外围体育投注A little bit of background information: I am reasurching which measures cities have taken to control a pest species, what their vision is considering ecological measures and if and how they would like to collaborate.
外围体育投注Personally I feel like I should copy the results and assingn the results to one city, instead of 2 or more. This seems logical to me because the results and opinions apply to two cities, so it should count for two cities. Unfortunatly I can't find any sources that support this method. Any sources that support (either) methods would be greatly appreciated!
Thanks in advance!
I am a master of science student and doing my thesis in industrial engineering. Basically, I am not an expert in mixture modeling. My goal is to develop a mixture model considering 4 components weibull distributions. To do so, I have to apply EM algorithm techniques to generate a probability close to my observation.
Let's say that I make the prediction that independent variable x is associated with the outcome variable y. To test this prediction, I measure both variables with a cross-sectional questionnaire (maybe I assume a causal relationship between x and y外围体育投注, but it's impossible or impractical to use an experimental or longitudinal design).
Assuming parametric assumptions are met, my options for exploring the association between x and y would then be a Pearson's correlation and/or a bivariate regression model. What would be the benefits of using one type of analysis over the other? Would there ever be a situation where it makes sense to perform both types of analysis and report them separately?
I am blanking on how to calculate relative risk and 95% cl from estimate manually. SAS estimate statement can do the trick but I want to do it manually for continuous and categorical. Thank you!
First of all, sorry about my english, it's not my main language
外围体育投注Hello guys, I haven't done statistics in like 4 years and now I'm struggling with one which I believe it's really simple
I have a pull with 100 experiments.
外围体育投注71 have a chance of success of 100%
28 have a chance of success of 50%
外围体育投注1 has a chance of success of 25%
外围体育投注It's important to note that you can do more than 100 experiments and still not "clear them all" (this is the part which I'm struggling to understand)
The thing here is that whenever I do an experiment, it first does the "25% check", then if it ends on failure, it does the "50% check", and if it still fails it ends with one of the "100% check". Or at least that's what I believe. What I want to know are the odds I have for the "25% check" after doing 90 attempts, not 100
外围体育投注If you didn't understand please let me know
外围体育投注PD: Also, this is not binomial, right?