coerce 发表于 2025-3-21 17:11:36
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978-3-030-09388-4Springer International Publishing AG, part of Springer Nature 2018refraction 发表于 2025-3-22 01:54:32
https://doi.org/10.1007/978-3-319-76042-1continuous distributions; discrete distributions; standard normal; partial expectation; left truncated nAstigmatism 发表于 2025-3-22 05:17:36
Nick T. ThomopoulosIncludes statistical methods and tables not readily available elsewhere.Reviews common continuous and discrete probability distributions.Examples provided to guide reader on application of common distcompel 发表于 2025-3-22 08:43:21
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Discrete Distributions,ple, the number of dots in a roll of two dice can take on only the integer numbers 2 to 12. When probabilities are assigned to each outcome and the sum over all possible outcomes is one, the variable, x, becomes a discrete random variable. The chapter describes the following six common discrete prob愚蠢人 发表于 2025-3-22 17:20:23
Standard Normal,is fully described by two parameters, the mean and the standard deviation. A related distribution is the standard normal that has a mean of zero and standard deviation equal to one. Almost all statistical books have table measures listed on the standard normal. An easy conversion from the normal varDappled 发表于 2025-3-22 22:21:42
Partial Expectation,ard normal z values larger than k. This is called the partial expectation of z greater than k, and is denoted as E(z > k). A table of E(z > k) for k = −3.0 to +3.0 is listed. Another partial described in this chapter is when the location parameter is on the right-hand side, and of interest is the avDuodenitis 发表于 2025-3-23 04:05:58
Left Truncated Normal,ter of the standard normal distribution. The shape of the distribution follows the normal for all standard normal z values larger than k, and thereby the distribution skews to the right. The statistical measures of this distribution are readily computed and include the mean, standard deviation, coefBUST 发表于 2025-3-23 09:07:42
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