Titlebook: Probability for Physicists; Simon Sirca Textbook 2016 Springer International Publishing Switzerland 2016 Entropy of physical systems.Gener

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書目名稱Probability for Physicists影響因子(影響力)




書目名稱Probability for Physicists影響因子(影響力)學科排名




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




書目名稱Probability for Physicists網(wǎng)絡(luò)公開度學科排名




書目名稱Probability for Physicists被引頻次




書目名稱Probability for Physicists被引頻次學科排名




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書目名稱Probability for Physicists年度引用學科排名




書目名稱Probability for Physicists讀者反饋




書目名稱Probability for Physicists讀者反饋學科排名

admission

Probability Distributionscontinuous and discrete random variables and their corresponding probability distributions. Probability functions, probability densities and (cumulative) distribution functions are introduced. Transformations of random variables are discussed, with particular attention given to the cases where the i

Offbeat

Special Continuous Probability Distributionsterizing the decay of unstable atoms and nuclei, the ubiquitous normal (Gauss) distribution in both its general and standardized form, the Maxwell velocity distribution in its vector and scalar form, the Pareto (power-law) distribution, and the Cauchy (Lorentz, Breit–Wigner) distribution suitable fo

emission

Glucocorticoids

Surgeon

Stable Distributions and Random Walkse closely related to the simple convolution process, which is introduced first for continuous and then for discrete random variables. This leads to the central limit theorem as one of the most important results of probability theory, as well as to its generalized version which is useful in the analy

沙發(fā)

Statistical Inference from Samplesdomly drawn from a population. The concepts of the statistic and the estimator are introduced, paying attention to their consistency and bias. Sample mean and sample variance are defined, and three most relevant sample distributions are investigated: distribution of sums and differences, distributio

小歌劇

abduction

不能約

Statistical Tests: Verifying Hypothesesr probability distributions. The null and alternative hypothesis are the corner-stones of each such verification, and go hand-in-hand with the possibility of inference errors; these are defined first, followed by the exposition of standard parametric tests for normally distributed variables (tests o