Titlebook: Probability Distributions; With Truncated, Log Nick T. Thomopoulos Book 2018 Springer International Publishing AG, part of Springer Nature

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書目名稱Probability Distributions影響因子(影響力)




書目名稱Probability Distributions影響因子(影響力)學(xué)科排名




書目名稱Probability Distributions網(wǎng)絡(luò)公開度




書目名稱Probability Distributions網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Probability Distributions被引頻次




書目名稱Probability Distributions被引頻次學(xué)科排名




書目名稱Probability Distributions年度引用




書目名稱Probability Distributions年度引用學(xué)科排名




書目名稱Probability Distributions讀者反饋




書目名稱Probability Distributions讀者反饋學(xué)科排名

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978-3-030-09388-4Springer International Publishing AG, part of Springer Nature 2018

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https://doi.org/10.1007/978-3-319-76042-1continuous distributions; discrete distributions; standard normal; partial expectation; left truncated n

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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 dist

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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

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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 var

Dappled

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 av

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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, coef

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