You can use the RAND() function to establish probability and create a random variable with normal distribution. Use the formula "=NORMINV(RAND(),B2,C2)", where the RAND() function creates your ...

and the cumulative distribution function. The PDF is the probability that our random variable reaches a specific value (or in the case of a continuous variable, of falling between an interval).

Consider a probability distribution in which the outcomes ... based on a data-generating process or mathematical function. Random variables produce probability distributions based on ...

such that the natural logarithm of the variable has a N(μ, σ) distribution. The range of K w may be changed to [1500, 15 000], creating a more nonlinear and non-additive function, as in Morris et al. ...

In this paper, we propose a functional linear regression model in the space of probability density functions. We treat a cross-sectional distribution of individual earnings as an infinite dimensional ...