崔甯甯期末考地卡羅模擬資產價格
崔甯甯蒙地卡羅模擬資產價格 切割期數 0 1 2 3 4 5 6 7 8 9 10 20 30 100 200 1000 Box–Muller transform The Box–Muller transform, by George Edward Pelham Box and Mervin Edgar Muller,[1] is a random number sampling method for generating pairs of independent, standard, normally distributed (zero expectation, unit variance) random numbers, given a source of uniformly distributed random numbers. The method was first mentioned explicitly by Raymond E. A. C. Paley and Norbert Wiener in their 1934 treatise on Fourier transforms in the complex domain.[2] Given the status of these latter authors and the widespread availability and use of their treatise, it is almost certain that Box and Muller were well aware of its contents. The Box–Muller transform is commonly expressed in two forms. The basic form as given by Box and Muller takes two samples from the uniform distribution on the interval (0,1) and maps them to two standard, normally distributed samples. ...