偶像
发表于 2025-3-28 18:37:57
Computational Probabilityevelopment of data structures and algorithms to automate the derivation of existing and new results in probability and statistics. Section 10.3, for example, contains the derivation of the distribution of a well-known test statistic that requires 99500 carefully crafted integrations.
DAMN
发表于 2025-3-28 21:07:56
Products of Random Variableshm behind the Product procedure in that the former concerns the transformation of just . random variable and the latter concerns the product of . random variables. Some examples demonstrate the algorithm’s application.
口音在加重
发表于 2025-3-29 00:53:33
Other Applicationsdetermining whether a continuous random variable obeys Benford’s law. Finally, Section 11.3 contains miscellaneous computational probability applications that are not covered elsewhere in the monograph.
大吃大喝
发表于 2025-3-29 04:06:44
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delusion
发表于 2025-3-29 07:29:05
Dheeraj Kumar,Ravi Kant Singh,Apurba Layekf basic numeric computation, then advance to defining variables, symbolic computations, functions, data types, solving equations, calculus and graphing. Then we will discuss the programming features of Maple that facilitate building the APPL language: loops, conditions and procedures.
CHASM
发表于 2025-3-29 12:51:43
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BAIT
发表于 2025-3-29 19:29:54
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countenance
发表于 2025-3-29 21:57:43
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Pcos971
发表于 2025-3-30 03:48:15
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