![]() ![]() Let's say the parameter can have the value of the integers between 1 and 500 and most of the mass is clustered in the middle between 230 and 270. Let's imagine the parameter we're trying to estimate is discrete and has, say, 500 different possible values. I know they asked with a continuous example, but I don't interpret their question as limited to continuous cases, and I think it's easier to address using a discrete example, as we avoid the issue of each exact parameter having infinitesimal mass which occurs in a continuous setting. Right - I think this is what's at the heart of the original question. (If the distribution is very dispersed, then while the average is less useful as an idea of what to expect, it still minimises prediction error in some loss but that's a different thing and I think less relevant here). ![]() (And gets better if you augment it with some measure of dispersion, and so on). Much like how the average is unlikely to be the exact value of a new sample from the distribution, but it's a good way of describing what to expect. However, the idea is that often a lot of the probability mass - an amount that is not small - will be concentrated around the maximum likelihood estimate, and so that's why it makes a good estimate, and worth using. ![]() Yes, individual likelihoods are so small, that yes even a MLE solution is extremely unlikely to be correct. It is fair to ask why the likelihoods are useful if they are so small, and it's not a good answer to talk about how they could be expressed as logs, or even to talk about the properties of continuous distributions. Just remember, while it's great for lighthearted decisions, it's not meant for significant matters where thoughtful analysis is required.I think most of the replies, here and on stack exchange, are answering slightly the wrong question. Whether you're choosing daily activities, creating random samples, or deciding the order of players in a game, this tool has you covered. It's perfect for fun and simple decisions. With the Yes or No Button, you have a reliable decision-making companion that's easy to use and readily accessible on all your devices. Is there any alternative tool?Īnswer: Yes, we also have the Yes No Wheel tool, offering a fun experience. Do you have any mobile app?Īnswer:No, as it's a fully mobile-friendly website, creating a mobile app wouldn't add value. What is the possibility on Yes and No Answer?Īnswer:According to our developers, there's a 50% chance of getting either a yes or no result, making it a Yes No Generator. Is it working on Mobile?Īnswer: Absolutely, it's a 100% responsive website, working seamlessly on all types of devices, including mobile, tablet, and PC. Is It Free tool?Īnswer:Yes, it's a 100% free tool. Our Yes or No Button offers the following features:įrequently Asked Questions about the Yes No Button: 1. This tool generates truly random answers, free from opinions or votes, making it a genuine yes-no oracle. Just click the "Get An Answer" button, and it provides you with a random yes-no response, much like flipping a coin. The Yes No Button is an easy-to-use online tool. If you plan to use it in the future, just bookmark it, and it will be readily accessible in your browser. ![]() Whether you're playing games or engaging in fun activities, the Yes or No Button simplifies decision-making. We believe this tool can be a valuable addition to your daily life. Many refer to it as the "yes-no decision maker" or the "yes-no generator," but here, we call it the Yes or No Button. ![]()
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